<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article
  PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD with MathML3 v1.2 20190208//EN" "JATS-journalpublishing1-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en">
<front>
<journal-meta><journal-id journal-id-type="publisher-id">SPB</journal-id><journal-id journal-id-type="nlm-ta">Soc Psychol Bull</journal-id>
<journal-title-group>
<journal-title>Social Psychological Bulletin</journal-title><abbrev-journal-title abbrev-type="pubmed">Soc. Psychol. Bull.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2569-653X</issn>
<publisher><publisher-name>PsychOpen</publisher-name></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">spb.13719</article-id>
<article-id pub-id-type="doi">10.32872/spb.13719</article-id>
	<article-categories>
	<subj-group subj-group-type="heading"><subject>The Gendered Language (R)Evolution</subject></subj-group>
		
		<subj-group subj-group-type="badge">
			<subject>Data</subject>
			<subject>Code</subject>
			<subject>Materials</subject>
		</subj-group>
		
	<series-text>This article is part of the SPB Special Topic &quot;The Gendered Language (R)Evolution: New Insights Into the Ever-Evolving Interaction Between Gender and Language&quot;, Guest Editors: Carmen Cervone, Jennifer Lewendon, &amp; Anne Maass, Social Psychological Bulletin, 20, https://doi.org/10.32872/spb.v20</series-text>


	</article-categories>
<title-group>
<article-title>The Readability of the Non-Binary Gender Star in German: Evidence From a Lexical Decision Task</article-title>
<alt-title alt-title-type="right-running">Readability of the Non-Binary Gender Star</alt-title>
<alt-title specific-use="APA-reference-style" xml:lang="en">The readability of the non-binary gender star in German: Evidence from a lexical decision task</alt-title>
</title-group>
<contrib-group>
	
	<contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-2827-0320</contrib-id><name name-style="western"><surname>Zacharski</surname><given-names>Lisa</given-names></name><xref ref-type="corresp" rid="cor1">*</xref><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
		
		<role vocab="credit" vocab-identifier="http://credit.niso.org/"
			vocab-term="Methodology"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/methodology/"
			>Methodology</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Other"
			>Theoretical background</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Formal Analysis"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/formal-analysis/"
			>Formal analysis</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Writing – original draft"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-original-draft/"
			>Writing – original draft</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Writing – review &amp; editing"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing/"
			>Writing – review &amp; editing</role>
	</contrib>
	
	
	<contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0009-0001-1873-290X</contrib-id><name name-style="western"><surname>Kruppa</surname><given-names>Alexandra</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
		<role vocab="credit" vocab-identifier="http://credit.niso.org/"
			vocab-term="Conceptualization"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization/"
			>Conceptualization</role>
		<role vocab="credit" vocab-identifier="http://credit.niso.org/"
			vocab-term="Methodology"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/methodology/"
			>Methodology</role>
	</contrib>
	
	
	<contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0001-8335-1276</contrib-id><name name-style="western"><surname>Ferstl</surname><given-names>Evelyn C.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
		<role vocab="credit" vocab-identifier="http://credit.niso.org/"
			vocab-term="Conceptualization"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization/"
			>Conceptualization</role>
		<role vocab="credit" vocab-identifier="http://credit.niso.org/"
			vocab-term="Methodology"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/methodology/"
			>Methodology</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Other"
			>Theoretical background</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Supervision"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/supervision/"
			>Supervision</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Funding acquisition"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition/"
			>Funding acquisition</role>
		<role
			vocab="credit"
			vocab-identifier="http://credit.niso.org/"
			vocab-term="Writing – review &amp; editing"
			vocab-term-identifier="http://credit.niso.org/contributor-roles/writing-review-editing/"
			>Writing – review &amp; editing</role>
	</contrib>
	
	
<contrib contrib-type="editor">
<name>
	<surname>Cervone</surname>
	<given-names>Carmen</given-names>
</name>
<xref ref-type="aff" rid="aff2"/>
</contrib>
	<contrib contrib-type="editor">
		<name>
			<surname>Maass</surname>
			<given-names>Anne</given-names>
		</name>
		<xref ref-type="aff" rid="aff2"/>
		<xref ref-type="aff" rid="aff3"/>
	</contrib>
	<contrib contrib-type="editor">
		<name>
			<surname>Lewendon</surname>
			<given-names>Jennifer</given-names>
		</name>
		<xref ref-type="aff" rid="aff3"/>
	</contrib>
	<aff id="aff1"><label>1</label>Department of Psychology, Center for Cognitive Science, <institution>University of Freiburg</institution>, <addr-line><city>Freiburg</city></addr-line>, <country country="DE">Germany</country></aff>
	<aff id="aff2">Department of Developmental Psychology and Socialisation, University of Padova, Padova, <country>Italy</country></aff>
	<aff id="aff3">Division of Science, NYU Abu Dhabi, Abu Dhabi, <country>United Arab Emirates</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>*</label>University of Freiburg, Department of Psychology, Center for Cognitive Science, Hebelstraße 10, 79104 Freiburg im Breisgau, Germany. lisa.zacharski@cognition.uni-freiburg.de</corresp>
</author-notes>
<pub-date pub-type="epub"><day>02</day><month>06</month><year>2025</year></pub-date>
	<pub-date pub-type="collection" publication-format="electronic"><year>2025</year></pub-date>
<volume>20</volume><elocation-id>e13719</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions><copyright-year>2025</copyright-year><copyright-holder>Zacharski, Kruppa, &amp; Ferstl</copyright-holder><license license-type="open-access" specific-use="CC BY 4.0" xlink:href="https://creativecommons.org/licenses/by/4.0/"><ali:license_ref>https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<p>The non-binary gender star in German (e.g., Radfahrer*in - <italic>cyclist</italic>) is intended to inclusively address <italic>all</italic> genders, that is, persons identifying beyond a female-male dichotomy, as well as women and men. Critics of this gender-fair form claim that, because it is not in line with German orthography, it impedes the readability of texts. Experimental research on this claim is still scarce. Because word recognition is a crucial component of the reading process, we developed a lexical decision task to investigate lexical access to role nouns in star form with a student (Experiment 1: 97 participants, 18–29 years) and a non-student sample (Experiment 2: 80 participants, 30–80 years), thus taking interindividual differences into account. Our results are promising for proponents of the star form: First, we found that less than 3% of all participants rejected star nouns as German words. Second, amongst the remaining participants, students accepted star nouns as quickly and as often as feminine and masculine forms. In contrast, non-students accepted star nouns more slowly and less often. However, the non-students’ initial difficulties in lexical access reflected in slower reaction times were overcome quickly over the course of the experiment thus suggesting that the readability of the gender star is a matter of familiarity and practice.</p>
</abstract>
	
	<abstract abstract-type="highlights">
		<title>Highlights</title>
		<p><list list-type="bullet">
			<list-item>
				<p>The study is the first to use a lexical decision task to assess the readability of the nonbinary gender star in German.</p></list-item>
			<list-item>
				<p>Word recognition of gender-inclusive words using the non-orthographic gender star is effortless for students, while initial difficulties among older, non-student participants disappear quickly.</p></list-item>
			<list-item>
				<p>The gender star is an effective tool to reduce the male bias evoked by generically masculine forms without compromising readability.</p></list-item></list></p>
	</abstract>
	

<kwd-group kwd-group-type="author"><kwd>gender-fair language</kwd><kwd>non-binary gender forms</kwd><kwd>visual word recognition</kwd><kwd>interindividual differences</kwd><kwd>psycholinguistics</kwd></kwd-group>

</article-meta>
</front>
<body>
	<sec sec-type="intro"><title/>
<p>The common traffic sign “Radfahrer bitte absteigen” (<italic>Cyclists</italic> [masc.] <italic>please dismount</italic>) illustrates the generic use of grammatically masculine role nouns in German: The feminine form <italic>Radfahrerinnen</italic> addresses female cyclists only, while the masculine form is supposed to address <italic>all</italic> cyclists. However, research has shown that using masculine forms whenever the gender of the referent(s) is unknown or irrelevant leads to a male bias (e.g., <xref ref-type="bibr" rid="r21">Gygax et al., 2021</xref>). A rather new, but popular gender-fair form intended to reduce this bias is the gender star (<italic>Genderstern</italic>) (<xref ref-type="bibr" rid="r30">Krome, 2020</xref>). Its proponents suggest that a sign displaying “Radfahrer*innen bitte absteigen” (<italic>Cyclists</italic> [star] <italic>please dismount</italic>) would address all people, that is, persons identifying beyond a female-male dichotomy, as well as women and men (<xref ref-type="bibr" rid="r11">Diewald &amp; Steinhauer, 2017</xref>). In contrast, the Council for German Orthography<xref ref-type="fn" rid="fn1"><sup>1</sup></xref><fn id="fn1"><label>1</label>
		<p>The Council for German Orthography (<italic>Rat für deutsche Rechtschreibung</italic>) is an intergovernmental body for Stand<?glue?>ard High German orthography. Its official spelling rules are the main reference for questions on this topic.</p></fn> disapproves of the star for not aligning with German orthography and impeding the readability of texts (<xref ref-type="bibr" rid="r40">Rat für deutsche Rechtschreibung, 2021</xref>). Experimental research on this claim is still scarce. Because word recognition is a crucial component of the reading process (e.g., <xref ref-type="bibr" rid="r6">Coltheart, 2006</xref>), we developed a lexical decision task to investigate the readability of role nouns in star form with an implicit measure. Data from two experiments will be presented: Experiment 1 was conducted with a sample of students (18–30 years). Experiment 2 was conducted with a more heterogenous group of older non-students (30–80 years).</p>
<sec sec-type="other1"><title>Gender-Fair Language in German</title>
<p>In English, a natural gender language (<xref ref-type="bibr" rid="r19">Gygax et al., 2019</xref>), most personal nouns are gender neutral. In contrast, in German, a grammatical gender language, all nouns carry grammatical gender (masculine, feminine, neuter). Dependent forms, such as articles and pronouns, have to correspond. For the majority of role nouns, there are two forms: a masculine (e.g., der Radfahrer – <italic>the (male) cyclist</italic> [masc.]) and a feminine form. The latter is usually derived from the former by adding the feminine suffices <italic>-in</italic> [sing.] or <italic>-innen</italic> [plural] (e.g., die Radfahrerin – <italic>the female cyclist</italic> [fem.]) (<xref ref-type="bibr" rid="r11">Diewald &amp; Steinhauer, 2017</xref>). As illustrated by the example above, feminine and masculine forms are used asymmetrically: Feminine forms only refer to women, while masculine forms can be used to refer to men (<italic>specific use</italic>) and to referents whose gender is unknown or irrelevant (<italic>generic use</italic>)<xref ref-type="fn" rid="fn2"><sup>2</sup></xref><fn id="fn2"><label>2</label>
<p>We will focus on the generic use of masculine <italic>role nouns</italic> and gender-fair alternatives intended to replace these. The search for gender-fair pronouns is beyond the scope of the study. The most prominent gender-fair pronouns are the singular <italic>they</italic> in English, e.g., <xref ref-type="bibr" rid="r4">Bradley (2020)</xref>, and <italic>hen</italic> in Swedish, e.g., <xref ref-type="bibr" rid="r41">Renström et al. (2022)</xref>. For German, there is no consensus on a gender-fair pronoun yet, see, e.g., <xref ref-type="bibr" rid="r32">Löhr (2022)</xref>.</p></fn>. Since the 1980s, feminist linguists have argued that this asymmetry leads to an underrepresentation of women in mental representations (e.g., <xref ref-type="bibr" rid="r38">Pusch, 1984</xref>). Their claims found support in psycholinguistic studies showing that the generic use of masculine forms leads to a male bias. In contrast, gender-fair alternatives can increase the mental inclusion of women (e.g., <xref ref-type="bibr" rid="r5">Braun et al., 1998</xref>; <xref ref-type="bibr" rid="r20">Gygax et al., 2008</xref>; <xref ref-type="bibr" rid="r29">Körner et al., 2022</xref>; <xref ref-type="bibr" rid="r42">Sato et al., 2016</xref>; <xref ref-type="bibr" rid="r45">Stahlberg &amp; Sczesny, 2001</xref>).</p>
<p>Two strategies of gender-fair language (GFL) can be distinguished (cf. <xref ref-type="bibr" rid="r15">Gabriel et al., 2018</xref>): Feminization makes the inclusion of women explicit (e.g., binary pair forms: die Studentin oder der Student – <italic>the female student</italic> [fem.] <italic>or the male student</italic> [masc.], or their abbreviations, e.g., the capital-I: FlugbegleiterIn <italic>– stewardEss</italic>). Neutralizations remove any clues to the referent’s gender (e.g., nominalized participles: Studierende – <italic>those who study</italic>).</p>
<p>With the growing acknowledgement of the existence of gender identities beyond a female-male dichotomy, additional non-binary gender forms (GFs) have been introduced. They are intended to refer to <italic>all</italic> genders (<xref ref-type="bibr" rid="r11">Diewald &amp; Steinhauer, 2017</xref>). The most popular non-binary GF and the one central to the public debate (<xref ref-type="bibr" rid="r30">Krome, 2020</xref>; <xref ref-type="bibr" rid="r33">Meuleneers, 2024</xref>) is the gender star. It has gained popularity particularly since 2018, when a third gender option (<italic>diverse</italic>) was introduced into the German personal status law in addition to the existing binary options (<italic>female</italic> and <italic>male</italic>). It is created by adding an asterisk between a role noun’s stem and its feminine suffix (e.g., Radfahrer*in <italic>– cyclist</italic>). It intends to go beyond being a mere abbreviation for binary pair forms, such as capital-I forms, to also address persons identifying as non-binary. Recent psycholinguistic studies investigating the functionality of the star form showed that its use can successfully reduce the male bias evoked by masculine generics (e.g., <xref ref-type="bibr" rid="r27">Keith et al., 2022</xref>; <xref ref-type="bibr" rid="r29">Körner et al., 2022</xref>). One study moreover showed that it evokes well-balanced mental representations of <italic>all</italic> genders (<xref ref-type="bibr" rid="r51">Zacharski &amp; Ferstl, 2023</xref>).</p>
<p>Grammatical gender is not the only relevant factor influencing gendered representations of person referents in German: Many role nouns are associated with semantic gender stereotypes encoding the readers’ expectations of how likely it is that the referent is female or male (e.g., <italic>female</italic>: social workers, <italic>male</italic>: surgeons). This information from general world knowledge, which is related to the actual binary gender distribution within a specific group, might be altered when there is societal change (cf. <xref ref-type="bibr" rid="r51">Zacharski &amp; Ferstl, 2023</xref>). Given that previous research has shown interactions between grammatical gender and stereotypical gender in German (e.g., <xref ref-type="bibr" rid="r5">Braun et al., 1998</xref>; <xref ref-type="bibr" rid="r42">Sato et al., 2016</xref>; <xref ref-type="bibr" rid="r48">Vervecken et al., 2013</xref>), it is crucial to take gender stereotypes into account when conducting research on GFL.</p></sec>
<sec sec-type="other2"><title>Comprehensibility and Readability of Gender-Fair Forms</title>
<p>In order to build an appropriate mental representation in the first place, gender-fair alternatives have to be readable and comprehensible (<xref ref-type="bibr" rid="r14">Friedrich &amp; Heise, 2019</xref>). While opponents of GFL have argued that use of binary pair forms and neutralizations that are in line with German orthography (in the following: <italic>orthographic forms</italic>) makes texts harder to read and understand (e.g., <xref ref-type="bibr" rid="r16">Gesellschaft für deutsche Sprache, 2020</xref>), experimental studies using self-report measures have not confirmed this claim (e.g., <xref ref-type="bibr" rid="r3">Blake &amp; Klimmt, 2010</xref>; <xref ref-type="bibr" rid="r14">Friedrich &amp; Heise, 2019</xref>; <xref ref-type="bibr" rid="r36">Pöschko &amp; Prieler, 2018</xref>). Using eye-tracking, <xref ref-type="bibr" rid="r46">Steiger-Loerbroks and Von Stockhausen (2014)</xref> moreover found that gender-fair neutralizations required more processing effort than masculine forms only at early reading stages, but not at later ones.</p>
<p>The case is different for binary forms that are <italic>not</italic> in line with German orthography (in the following: <italic>non-orthographic forms</italic>): <xref ref-type="bibr" rid="r36">Pöschko and Prieler (2018)</xref> found significantly lower subjective readability ratings for texts using slash forms (e.g., der/die Lehrer/in – <italic>the</italic> [masc.]<italic>/the</italic> [fem.] <italic>male teacher</italic> [masc.]<italic>/female teacher</italic> [fem. suffix]). For texts using capital-I forms (e.g., FlugbegleiterIn – <italic>stewardEss</italic>), <xref ref-type="bibr" rid="r3">Blake and Klimmt (2010)</xref> reported longer total reading times than for texts using orthographic forms (masculine forms, pair forms, and neutralizations). The authors suggested that this might be due to the more complex and unusual shape as well as the rare occurrence of the former. Another open question is whether, as seems likely, frequent exposure to non-orthographic forms can reduce these processing difficulties (cf. <xref ref-type="bibr" rid="r15">Gabriel et al., 2018</xref>).</p>
<p>So far, only <xref ref-type="bibr" rid="r13">Friedrich et al. (2021)</xref> have investigated the readability of the star form using subjective comprehensibility ratings: In two different experiments, students were presented with texts in one of two variants (masculine/star). The text for the first experiment contained predominantly plural star forms (e.g., die Spieler*innen – <italic>the players</italic>), while the second text contained more singular star forms. For the first experiment, the ratings did not yield any difficulties for the star. However, in the second experiment, it significantly decreased comprehensibility, particularly due to increased sentence difficulty ratings. Interpreting these results, it should be noted that there is only one definite plural article in German (<italic>die</italic>), which is used for feminine and masculine nouns. Hence, no adaptation of dependent articles is necessary when using plural star forms. In contrast, using singular star forms requires a more complex and very salient adaptation of the article (e.g., der*die Spieler*in – <italic>the</italic>[masc.]<italic>*the</italic>[fem.] <italic>player</italic>[star])—the actual use of these more complex constructions is, however, very uncommon.</p>
<p>This study provided valuable first insights in the readability of the star, but has two limitations: First, its results are based on subjective ratings of participants. Hence, it cannot be ruled out that responses were influenced by factors such as social desirability, political correctness, or emotions towards GFL. In contrast, implicit measures enable investigation of word recognition at its earliest, pre-conscious stages<xref ref-type="fn" rid="fn3"><sup>3</sup></xref><fn id="fn3"><label>3</label>
<p>Neuropsychological methods such as EEG and ERPs allow the investigation of the early stages of visual word recognition. Research on the exact time course of the retrieval of lexical and semantic information is, however, inconsistent: While many studies suggest that lexico-semantic processing takes place between 200–600ms (e.g., <xref ref-type="bibr" rid="r18">Grainger &amp; Holcomb, 2009</xref>), some studies showed that competent readers retrieve lexical and semantic information already within 200ms after word onset (e.g., <xref ref-type="bibr" rid="r23">Hauk et al., 2012</xref>).</p></fn> thus avoiding potential influences of these factors. Second, its results are based on a homogenous, mostly female student sample and participants are likely to have held a positive attitude towards GFL (e.g., <xref ref-type="bibr" rid="r25">Jäckle, 2022</xref>; <xref ref-type="bibr" rid="r50">Zacharski, 2024</xref>). However, previous research showed that attitudes towards GFL might affect the processing of GFs: In their eye-tracking study, <xref ref-type="bibr" rid="r46">Steiger-Loerbroks and Von Stockhausen (2014)</xref> reported that a more positive attitude towards the generically intended masculine led to increased reading times for gender-fair alternatives. In their word-picture matching task, <xref ref-type="bibr" rid="r45">Stahlberg and Sczesny (2001)</xref> (Experiment 4) found that participants with a more positive attitude towards GFL showed faster response times for images of women following the gender-fair capital-I form than the masculine form. In contrast, no such effect was found in participants with a negative attitude towards GFL. Further research on the readability of the star is thus needed that uses implicit measures and takes potential attitudes effects into account.</p></sec>
<sec sec-type="other3"><title>Visual Word Recognition: A Fundamental Component of Text Comprehensibility</title>
<p>If we want to know whether the gender star makes reading a text more difficult, investigating how it affects the recognition of role nouns on the word level is a crucial step towards it. According to <xref ref-type="bibr" rid="r47">van Dijk and Kintsch (1983)</xref>, text comprehension consists of building a mental representation of what the text is about. The comprehension processes that contribute to its production occur at the word, sentence, and text level and interact with the reader’s world knowledge (<xref ref-type="bibr" rid="r35">Perfetti et al., 2005</xref>). Hence, “if we knew how people recognize whole words on the page, we [would] […] know part of what we need to know in order to understand how people comprehend whole printed sentences” (<xref ref-type="bibr" rid="r6">Coltheart, 2006</xref>, p. 6). Reflecting this, when investigating the readability of the star, <xref ref-type="bibr" rid="r13">Friedrich et al. (2021)</xref> did not only ask participants to rate the comprehensibility of the text as a whole, but moreover assessed <italic>word difficulty</italic>, that is, how easily participants grasped the meanings of the text’s words.</p>
<p>A well-established implicit measure to study word recognition is the lexical decision task (<xref ref-type="bibr" rid="r8">Coltheart et al., 2001</xref>; <xref ref-type="bibr" rid="r39">Rastle, 2016</xref>). In this paradigm, participants are presented with strings of letters. They have to decide as quickly as possible whether the stimulus shown is a word or not. Accuracy rates and reaction times (RTs) provide information on which factors influence the ease of word recognition. The most important lexical features are word length and word frequency: Shorter or more frequent words are recognized more quickly. Other factors include age of acquisition and familiarity: Words that are learned earlier in life and words that are more familiar are recognized faster (<xref ref-type="bibr" rid="r8">Coltheart et al., 2001</xref>; <xref ref-type="bibr" rid="r39">Rastle, 2016</xref>). Importantly, the paradigm even enables the detection of effects of within-word changes on word identification that are small in magnitude (e.g., case alternation: gArDeNeR, <xref ref-type="bibr" rid="r7">Coltheart &amp; Freeman, 1974</xref>).</p>
<p>The Dual Route Cascaded model of visual word recognition (<xref ref-type="bibr" rid="r8">Coltheart et al., 2001</xref>) assumes that each word known by the reader is represented as an individual lexical entry in a mental lexicon. Words are recognized by mapping the identified letters on the correct entry (<italic>lexical access</italic>). This process allows the skilled reader to quickly and accurately read familiar words. Reading unknown words or pronounceable strings of letters (pseudowords), in contrast, requires the use of the non-lexical route (corresponding to spelling out the word) which is slower and less accurate.</p>
<p>For reading star nouns, there are two potential scenarios: First, owing to their non-orthographic form, they are not mapped on entries of the mental lexicon, but are processed via the non-lexical route. Second, star nouns are accessed via the lexical route, which is highly sensitive to word length, word frequency, and age of acquisition. Due to the insertion of the asterisk, star nouns are longer. Moreover, special character forms occur less frequently than feminine forms (<xref ref-type="bibr" rid="r17">Goldhahn et al., 2012</xref>), which are less frequent than masculine words (cf. <xref ref-type="bibr" rid="r13">Friedrich et al., 2021</xref>; <xref ref-type="bibr" rid="r15">Gabriel et al., 2018</xref>). Finally, owing to its relative recent introduction, participants will have first learnt the star form in adulthood, so that age of acquisition is higher for star nouns than for binary forms. Hence, in both scenarios, we expect slower reading times for star nouns. Interindividual differences, however, might influence the ease of recognition: First, as mentioned above, a positive attitude towards GFL might facilitate its processing. Second, owing to its recent introduction, younger participants will have become acquainted with it earlier in their life than older participants did. Moreover, many German universities recommend the use of the gender star in their guidelines for GFL (<xref ref-type="bibr" rid="r43">Schneider, 2022</xref>). Students might have thus encountered the gender star more frequently than non-students. Lexical access to star nouns might thus be easier for younger students than for older non-students.</p></sec>
<sec sec-type="other4"><title>The Present Study</title>
<p>The present study consists of two experiments employing the same lexical decision task to investigate whether the insertion of the asterisk impedes lexical access to role nouns. The first experiment was conducted with a sample of students (18–30 years). The second experiment was conducted with a more heterogenous group of older non-students (30–80 years). In each experiment, we assessed attitudes towards GFL. This and comparisons between the samples allowed us to evaluate the influence of interindividual differences.</p>
<p>In the lexical decision task, 72 role nouns were used as experimental items. GF was varied <italic>within</italic> subjects (star/feminine/masculine) so that every participant saw 24 role nouns in each of the forms. The semantic stereotype of the role noun was controlled (<xref ref-type="bibr" rid="r34">Misersky et al., 2014</xref>). To conceal the purpose of the experiment, a large number of filler items was used (48 regular words, 120 pseudowords), leading to 240 trials in total. Partic<?glue?>ipants had to decide as quickly as possible whether the string presented was a German word or not, and respond via keypress. Acceptance rates and RTs for experimental items were used as dependent variables.</p>
<p>Our study was guided by two main research questions (<italic>RQ</italic>s) for which we derived specific hypotheses (<italic>H</italic>s). The first question addresses the status of the gender star as a German word. The second one addresses the question of its readability.</p>
<p>Even though the star form is, by now, frequently used by media channels and institutions (<xref ref-type="bibr" rid="r30">Krome, 2020</xref>; <xref ref-type="bibr" rid="r43">Schneider, 2022</xref>), previous surveys showed that only about 25% of the population in Germany are in favor of its use (<xref ref-type="bibr" rid="r25">Jäckle, 2022</xref>: 21%; <xref ref-type="bibr" rid="r49">Welt am Sonntag, 2020</xref>: 26%). We thus wanted to know:</p>
<disp-quote>
<p>(RQ1) Which participants accept role nouns in star form as German words?</p></disp-quote>
<p>We expected that the polarization of the public debate (<xref ref-type="bibr" rid="r33">Meuleneers, 2024</xref>) would manifest itself in the distribution of acceptance rates of star nouns: While some participants accept star nouns as words, others would always reject them. Moreover, we expected that participants with a more positive attitude towards GFL and participants of the younger, student sample would be more likely to accept the star, thus leading to the following hypotheses:</p>
<disp-quote>
	<p>(H1.a) Participants’ mean acceptance rates for star nouns show a bimodal distribution.</p></disp-quote>
	<disp-quote>
		<p>(H1.b) Participants with a more positive attitude towards GFL are more likely to accept star nouns as words (<italic>within</italic> samples).</p></disp-quote>
		<disp-quote>
<p>(H1.c) Participants of the younger, student sample are more likely to accept star nouns as German words than participants of the older, non-student sample (<italic>between</italic> samples).</p></disp-quote>
<p>Next, we were interested in whether and how the gender star affects word recognition for those participants who, in general, accept star nouns as German words:</p>
<disp-quote>
<p>(RQ2) Is lexical access to role nouns in star form more difficult than to feminine and masculine forms?</p></disp-quote>
<p>For this purpose, we had a closer look at RTs for accepted experimental items. Specifically, we formulated the following hypothesis:</p>
<disp-quote>
<p>(H2.a) The insertion of the asterisk impedes lexical access thus leading to slower RTs for star nouns compared to binary forms (controlling for word length).</p></disp-quote>
<p>Because more exposure to the star form is likely to facilitate lexical access, we expected the processing of star nouns to get easier over the course of the experiment:</p>
<disp-quote>
<p>(H2.b) RTs to star nouns decrease across time.</p></disp-quote>
<p>Moreover, we formulated the following hypotheses with regard to interindividual differences:</p>
<disp-quote>
	<p>(H2.c) For participants with a more positive attitude towards GFL, recognition of star nouns is easier than for participants with a less positive attitude (<italic>within</italic> samples).</p></disp-quote>
	<disp-quote>
<p>(H2.d) For participants of the younger, student sample, recognition of star nouns is easier than for participants of the older, non-student sample (<italic>between</italic> samples).</p></disp-quote>
	<p>The wide range of participants’ ages in the non-student sample furthermore allowed us to exploratorily test the influence of age on the ease of lexical access <italic>within</italic> this sample. Finally, it was an exploratory question whether gender stereotypes would influence the lexical decision process.</p></sec></sec>
<sec sec-type="other5"><title>Experiment 1: Student Sample</title>
<p>In the first experiment, we tested university students to make it comparable with previous research (e.g., <xref ref-type="bibr" rid="r13">Friedrich et al., 2021</xref>). We focused on students younger than 30 years thus representing a group of typical students in Germany (<xref ref-type="bibr" rid="r9">Davies, 2023</xref>).</p>
<sec sec-type="methods"><title>Method</title>
<sec sec-type="subjects"><title>Participants</title>
<p>Recruitment took place at the University of Freiburg, Germany. Only students between 18 and 29 years with sufficient knowledge of German (L1, or L2<xref ref-type="fn" rid="fn4"><sup>4</sup></xref><fn id="fn4"><label>4</label>
	<p>L1 is a participant’s first, L2 is a participant’s second language.</p></fn> with &gt; 10 years of experience) were included in the dataset for analysis. Of the 124 participants who initially started the experiment, 27 were excluded (early drop-out: 5, insufficient German skills: 6, &gt; 29 years: 6, non-students: 9). Moreover, one participant was excluded in the course of an outlier analysis (see Supplementary Materials, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>). Our final sample consisted of 97 students of psychology (74), cognitive science (21), and linguistics (2) (<italic>M</italic> = 21.1 years, <italic>SD</italic> = 2.50; non-binary: 2, female: 76, male: 18, unspecified: 1). All participants received course credit as compensation. An a priori power analysis using G*Power (<xref ref-type="bibr" rid="r12">Faul et al., 2007</xref>) showed that a sample of 73 participants would have been sufficient to yield a power of .80 (with α = .05) for finding even small differences between GFs (<italic>f</italic> = .15).</p></sec>
<sec><title>Design and Materials</title>
<p>240 items were presented to each participant: 120 words and 120 pseudowords. 72 role nouns were used as experimental items. For the latter, GF was varied <italic>within</italic> subjects (star/feminine/masculine), so that every participant saw 24 role nouns in each form. The remaining items were fillers to distract participants from the goal of the study. Item types will be described in the following.</p>
<sec><title>Words: Experimental Items</title>
<p>72 role nouns that allowed feminine inflection were selected from <xref ref-type="bibr" rid="r34">Misersky et al. (2014)</xref>, so that 24 nouns each were stereotypically female, neutral, and male. Word frequencies of masculine forms (<xref ref-type="bibr" rid="r17">Goldhahn et al., 2012</xref>) and word lengths of masculine forms were balanced over the three stereotypicality categories, one-way ANOVAs: word length: <italic>F</italic>(2, 69) = 0.19, <italic>p</italic> = 0.83; word frequency: <italic>F</italic> (2, 69) = 1.67, <italic>p</italic> = 0.20 (<xref ref-type="table" rid="t1">Table 1</xref>). For each role noun, three GFs were created: masculine, feminine (<italic>-in</italic>), star (<italic>-*in</italic>).</p>
<table-wrap id="t1" position="anchor" orientation="landscape">
<label>Table 1</label><caption><title>Descriptives of all Items Used as Stimuli</title></caption>
	<table frame="hsides" rules="groups" style="striped-#f3f3f3, compact-1">
<col width="16%" align="left"/>
<col width="15%"/>
<col width="12%"/>
<col width="10%"/>
<col width="12%"/>
<col width="12%"/>
<col width="23%"/>
<thead>
<tr>
<th valign="bottom">Stimulus type</th>
	<th valign="bottom">Stimulus category</th>
	<th valign="bottom">Gender stereotypicality</th>
	<th valign="bottom"><italic>n</italic> (Stimuli)</th>
	<th valign="bottom">Word length (masc. for exp. item)</th>
	<th valign="bottom">Word frequency (masc. for exp. items)</th>
	<th valign="bottom">Example</th>
</tr>
</thead>
<tbody>
<tr>
<td>WORD</td>
<td>experimental item</td>
<td>female</td>
<td>24</td>
<td>10.71 (2.88), 7-17</td>
<td>15.71 (2.74), 10-23</td>
<td>Kosmetiker/Kosmetikerin/Kosmetiker*in (<italic>beautician</italic> [masc./fem./star])</td>
</tr>
<tr>
<td>WORD</td>
<td>experimental item</td>
<td>neutral</td>
<td>24</td>
<td>10.50 (3.44), 6-17</td>
<td>14.58 (3.05), 9-21</td>
<td>Biologe/Biologin/Biolog*in (<italic>biologist</italic> [masc./fem./star])</td>
</tr>
<tr>
<td>WORD</td>
<td>experimental item</td>
<td>male</td>
<td>24</td>
<td>10.17 (2.94), 5-17</td>
<td>14.50 (1.69), 12-18</td>
<td>Chirurg/Chirurgin/Chirurg*in (<italic>surgeon</italic> [masc./fem./star])</td>
</tr>
<tr>
<td>WORD</td>
<td>filler, no special character</td>
<td>—</td>
<td>24</td>
<td>10.75 (2.85), 4-16</td>
<td>14.42 (3.02), 7-19</td>
<td>Menschenrechte (<italic>human rights</italic>)</td>
</tr>
<tr>
<td>WORD</td>
<td>filler, with special character</td>
<td>—</td>
<td>24</td>
<td>8.50 (3.11), 3-16</td>
<td>14.58 (3.43), 10-22</td>
<td>iPhone</td>
</tr>
<tr>
<td>PSEUDOWORD</td>
<td>ending on <italic>-er</italic></td>
<td>—</td>
<td>24</td>
<td>10.04 (2.93), 5-17</td>
<td>—</td>
<td>Welchzieter</td>
</tr>
<tr>
<td>PSEUDOWORD</td>
<td>ending on <italic>-in</italic></td>
<td>—</td>
<td>24</td>
<td>12.29 (3.53), 7-19</td>
<td>—</td>
<td>Schrommerin</td>
</tr>
<tr>
<td>PSEUDOWORD</td>
<td>ending on <italic>-in</italic>,<break/>with <italic>*</italic> (asterisk) at random position</td>
<td>—</td>
<td>24</td>
<td>13.58 (2.96), 10-20</td>
<td>—</td>
<td>Flise*rmin</td>
</tr>
<tr>
<td>PSEUDOWORD</td>
<td>no specific ending, no<break/>special character</td>
<td>—</td>
<td>24</td>
<td>10.71 (2.82), 4-16</td>
<td>—</td>
<td>Witschenbechte</td>
</tr>
<tr>
<td>PSEUDOWORD</td>
<td>no specific ending, with<break/>special character</td>
<td>—</td>
<td>24</td>
<td>8.42 (3.17), 3-16</td>
<td>—</td>
<td>Kassem-gof:nalge</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Note.</italic> Words: Experimental Items and Filler Items: Means, <italic>SD</italic>s, and ranges of word lengths and word frequencies by Stimulus Type. Word frequencies and word lengths of experimental are based on masculine forms. Pseudowords, all categories: Means, <italic>SD</italic>s and ranges of pseudoword lengths by Stimulus Type. Examples are given for both words and pseudowords.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec><title>Words: Filler Items</title>
<p>48 words (no role nouns; e.g., <italic>Menschenrechte</italic> – human rights) were used. 24 of these contained at least one special character (e.g., <italic>H&amp;M</italic>) or majuscule (e.g., <italic>iPhone</italic>). Filler words (with and without special characters) were selected so that their word frequencies matched those of the experimental items (One-way ANOVA: <italic>F</italic> (2, 117) = 0.35, <italic>p</italic> = 0.71). Experimental items and filler items without special characters were equally long. However, words with special characters were significantly shorter, because longer ones are rare in German (One-way ANOVA: <italic>F</italic> (2, 117) = 4.40, <italic>p</italic> = 0.01) (<xref ref-type="table" rid="t1">Table 1</xref>).<?pagebreak-after?></p>

	<?table t1?>

</sec>
<sec><title>Pseudowords</title>
<p>Based on every word (experimental and filler items), one pseudoword was generated using the multilingual pseudoword generator <italic>Wuggy</italic> (Version 0.1.7). The tool creates equally long pseudowords, i.e., nonwords that are in line with orthographic and phonological patterns of German (<xref ref-type="bibr" rid="r28">Keuleers &amp; Brysbaert, 2010</xref>). Pseudowords based on experimental items carried the suffices that are typically associated with feminine (<italic>-in</italic>) or masculine gender (<italic>-er</italic>), or carried the feminine suffix <italic>-in</italic> and contained an asterisk at a random position. Pseudowords generated from fillers either contained no or at least one special character other than the asterisk (<xref ref-type="table" rid="t1">Table 1</xref>).</p>

</sec>
<sec><title>Experimental Lists</title>
<p>GF of experimental items was varied <italic>within</italic> participants, such that each participant saw 24 role nouns in each GF. The same 48 filler words and 120 pseudowords were used in each of the three lists. The entire experiment consisted of 240 trials.</p>
<p>To guarantee pseudo-randomization during presentation, 12 sub-lists of 20 items were created for each list. Each sub-list consisted of 10 words (2 of each type) and 10 pseudowords (2 of each type) and was presented in a randomized order. No list contained the pseudoword and the word used for its generation.</p></sec></sec>
<sec><title>Questionnaire</title>
	<p>A questionnaire with five items was used to assess attitudes towards GFL (<xref ref-type="bibr" rid="r10">Dietsche, 2020</xref>) (e.g., <italic>In my opinion, more texts should be written in gender-fair language</italic>; for all items see Supplementary Materials, Table A, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>). Items were rated on a Likert-scale from 1–5. Two items were reverse coded so that a higher score suggests a more positive attitude towards GFL. Before filling out the questionnaire, participants read a brief definition of the term ‘GFL’. The mean score was used for statistical analysis. With an internal consistency of Cronbach’s α = 0.81, the scale proved to be reliable.</p></sec>
<sec><title>Presentation and Procedure</title>
<p>The experiment was implemented on <italic>lab.js</italic> (<xref ref-type="bibr" rid="r24">Henninger et al., 2023</xref>); the <italic>JATOS</italic> Server (<xref ref-type="bibr" rid="r31">Lange et al., 2015</xref>) was used for data collection. Participants received a link and completed the study at home on their computer. They were asked not to use smartphones/tablets, sit in a silent room, and make sure not to be disturbed. Although compliance to instructions cannot be directly measured in online-studies, their reliability has been confirmed (<xref ref-type="bibr" rid="r44">Schnoebelen &amp; Kuperman, 2010</xref>).</p>
<p>Participants were told that the study investigates word comprehension, but were not informed about the goal of the study until after the experiment. They were instructed that they would be presented with letter strings and to decide as quickly as possible whether these are German words or not.</p>
<p>After giving consent and reading the instructions, all participants completed one practice block (8 trials). Then, each participant was presented with one of the experimental lists. Per trial, one letter string was presented. Participants gave answers using their keyboard (D/yes, K/no or K/yes, D/no, counterbalanced across participants). Each stimulus was displayed until keypress, but not longer than 2,000ms, after which the next stimulus automatically appeared. Two 30s breaks were allowed (after trials 80 and 160). After finishing the experiment, participants filled in the attitudes-questionnaire and gave demographic information. Completing the study took about 20 minutes.</p></sec>
<sec><title>Data Analysis</title>
<p>All steps of the statistical analysis were conducted with <italic>R</italic> (Version 4.3.1) run on <italic>R studio</italic> (<xref ref-type="bibr" rid="r37">Posit Team, 2023</xref>; Version 2023.06.0).</p>
	<p>Before the main statistical analysis, an outlier analysis was conducted to identify participants who did not perform the task appropriately, and an item check to identify words and pseudowords that elicited unpredicted responses (for details see Supplementa<?glue?>ry Materials, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>
<p><bold>(RQ1):</bold> The statistical analysis for acceptance rates was based on experimental items only (6,566 datapoints). To test whether mean acceptance rates for star nouns show the expected bimodal distribution, <italic>Hartigan’s Dip Test for Unimodality</italic> (<xref ref-type="bibr" rid="r22">Hartigan &amp; Hartigan, 1985</xref>) was calculated using the <italic>diptest</italic>-package.</p>
	<p>Next, a generalized mixed model (M1.1) was fitted using the <italic>glmer</italic>-function (<italic>lme4</italic>-package, <xref ref-type="bibr" rid="r2">Bates, Maechler, et al., 2015</xref>) with response type as the dependent variable. Yes-responses (acceptance) were coded as 1, no-responses (rejection) as 0. Based on our hypotheses, we chose a four-way interaction term for fixed effects including GF, gender stereotypicality, scaled attitude scores and scaled trial number. The parsimonious random effect structure (<xref ref-type="bibr" rid="r1">Bates, Kliegl, et al., 2015</xref>) including potential item effects (<italic>1|Item</italic>) and interindividual differences (<italic>1|ID</italic>) was controlled with the <italic>rePCA()</italic>-function (<italic>lme4</italic>-package) showing that these dimensions were sufficient to account for 100% of the explained variability. The <italic>Anova()</italic>-function (<italic>car</italic>-package) was used to produce type-III-Anova tables for fixed effects (for further details on contrast coding, post-hoc analyses, data visualization, and versions of <italic>R</italic>-packages see Supplementary Materials, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>
<p><bold>(RQ2):</bold> In order to check how acceptance differed amongst participants generally accepting star nouns as words, we fitted the same <italic>glmer</italic>-Model (M1.2) for the sample reduced by participants who generally rejected star nouns (&lt; 10% mean acceptance of the star; from now on: <italic>rejectors</italic>). For the analysis of RTs and to investigate lexical access, logarithmized yes-responses of all participants were used as the dependent variable (6,249 datapoints). We fitted a linear mixed effect model (M2) using the <italic>lmer</italic>-function (<italic>lme4</italic>-package). In addition to the fixed effect structure used for the <italic>glmer</italic>-Models (M1), we added scaled word lengths as an independent variable. We used the more complex, but still parsimonious random effect structure (<italic>1|Item</italic>) + (<italic>1+Trial Nr+Word Length|ID</italic>). The remaining procedures of statistical analysis were the same as for M1.</p></sec></sec>
<sec sec-type="results"><title>Results</title>
<sec><title>Attitude Questionnaire</title>
<p>The mean attitude score <italic>M</italic> = 3.79 (<italic>SD</italic> = 0.77) suggested that, overall, participants held a positive attitude towards GFL (range = 1.80–5.00; scale: 1[negative] to 5[positive]). There were no significant differences in attitudes between female (<italic>M</italic> = 3.81, <italic>SD</italic> = 0.74, range 1.80–5.00) and male participants (<italic>M</italic> = 3.72, <italic>SD</italic> = 0.83, range = 2.00–4.8) (<italic>Wilcoxon rank sum test: W</italic> = 649.5, n<sub>1</sub> = 76, n<sub>1</sub> = 18, <italic>p</italic> = 0.743).</p></sec>
<sec><title>(RQ1) Acceptance of Role Nouns in Star Form as German Words</title>
	<p>The statistical analysis for the complete sample (<xref ref-type="table" rid="t2">Table 2</xref>, M.1.1) yielded a significant main effect of GF. A priori contrast coding and post-hoc tests (Supplementary Materials, Tables C.1 &amp; C.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that acceptance rates for star nouns are significantly lower than those for binary forms. Visualizing predicted probabilities for all participants (<xref ref-type="fig" rid="f1">Figure 1</xref>, Plot A.1) showed a comparably large variance for the star. Having a closer look at the participants’ mean acceptance rates for star nouns (<xref ref-type="fig" rid="f1">Figure 1</xref>, Plot A.3), we found, in line with H1.a, a bimodal distribution (<italic>Hartigan’s Dip Test for Unimodality: D</italic> = 0.14, <italic>p</italic> &lt; .001). However, contrary to our expectations, there was only one <italic>rejector</italic> (100% rejection). The great majority of participants (99%) accepted star nouns as words (&gt; 81% mean acceptance of the star).</p>
<table-wrap id="t2" position="anchor" orientation="landscape">
<label>Table 2</label><caption><title>Results of Type-III Anova of glmer-Models of Acceptance Rates for Experimental Items for the Student Sample (M1.1, M1.2 – Experiment 1) and the Non-Student Sample (M3.1, M3.2 – Experiment 2)</title></caption>
	<table frame="hsides" rules="groups" style="compact-2">
<col width="22%" align="left"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
		<col width="6.5%"/>
<col width="6.5%"/>
<thead>
<tr>
<th rowspan="3" valign="bottom" align="left">Predictor</th>
	<th colspan="6" scope="colgroup" valign="bottom">Student sample<hr/></th>
	<th colspan="6" scope="colgroup" valign="bottom">Non-student sample<hr/></th>
</tr>
<tr>
	<th colspan="3" scope="colgroup">M1.1: Acceptance<break/>(97 participants)<hr/></th>
	<th colspan="3" scope="colgroup">M1.2: Acceptance<break/>(96 participants)<hr/></th>
	<th colspan="3" scope="colgroup">M3.1: Acceptance<break/>(80 participants)<hr/></th>
	<th colspan="3" scope="colgroup">M3.2: Acceptance<break/>(76 participants)<hr/></th>
</tr>
<tr>
<th scope="colgroup">Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Intercept</td>
<td align="char" char=".">401.49</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">412.139</td>
<td>1</td>
<td>&lt;. 001***</td>
<td align="char" char=".">340.82</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">352.733</td>
<td>1</td>
<td align="char" char=".">&lt; .01***</td>
</tr>
<tr>
<td>Gender Form</td>
<td align="char" char=".">13.361</td>
<td>2</td>
<td align="char" char=".">.001**</td>
<td align="char" char=".">3.391</td>
<td>2</td>
<td align="char" char=".">.184</td>
<td align="char" char=".">62.536</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">14.784</td>
<td>2</td>
<td align="char" char=".">.001***</td>
</tr>
<tr>
<td>Gender Stereotypicality</td>
<td align="char" char=".">2.938</td>
<td>2</td>
<td align="char" char=".">.230</td>
<td align="char" char=".">3.805</td>
<td>2</td>
<td align="char" char=".">.149</td>
<td align="char" char=".">2.226</td>
<td>2</td>
<td align="char" char=".">.329</td>
<td align="char" char=".">1.501</td>
<td>2</td>
<td align="char" char=".">.472</td>
</tr>
<tr>
<td>Trial Nr</td>
<td align="char" char=".">0.794</td>
<td>1</td>
<td align="char" char=".">.373</td>
<td align="char" char=".">0.901</td>
<td>1</td>
<td align="char" char=".">.342</td>
<td align="char" char=".">3.678</td>
<td>1</td>
<td align="char" char=".">.055</td>
<td align="char" char=".">1.773</td>
<td>1</td>
<td align="char" char=".">.183</td>
</tr>
<tr>
<td>Attitude</td>
<td align="char" char=".">0.002</td>
<td>1</td>
<td align="char" char=".">.960</td>
<td align="char" char=".">0.544</td>
<td>1</td>
<td align="char" char=".">.461</td>
<td align="char" char=".">0.131</td>
<td>1</td>
<td align="char" char=".">.718</td>
<td align="char" char=".">0.019</td>
<td>1</td>
<td align="char" char=".">.889</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality</td>
<td align="char" char=".">5.648</td>
<td>4</td>
<td align="char" char=".">.227</td>
<td align="char" char=".">6.710</td>
<td>4</td>
<td align="char" char=".">.152</td>
<td align="char" char=".">2.277</td>
<td>4</td>
<td align="char" char=".">.685</td>
<td align="char" char=".">2.739</td>
<td>4</td>
<td align="char" char=".">.602</td>
</tr>
<tr>
<td>Gender Form:Trial Nr</td>
<td align="char" char=".">6.633</td>
<td>2</td>
<td align="char" char=".">.036*</td>
<td align="char" char=".">5.650</td>
<td>2</td>
<td>.059^</td>
<td align="char" char=".">2.809</td>
<td>2</td>
<td align="char" char=".">.245</td>
<td align="char" char=".">2.045</td>
<td>2</td>
<td align="char" char=".">.360</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">0.288</td>
<td>2</td>
<td align="char" char=".">.866</td>
<td align="char" char=".">0.737</td>
<td>2</td>
<td align="char" char=".">.692</td>
<td align="char" char=".">1.464</td>
<td>2</td>
<td align="char" char=".">.481</td>
<td align="char" char=".">1.064</td>
<td>2</td>
<td align="char" char=".">.588</td>
</tr>
<tr>
<td>Gender Form:Attitude</td>
<td align="char" char=".">11.112</td>
<td>2</td>
<td align="char" char=".">.004**</td>
<td align="char" char=".">3.902</td>
<td>2</td>
<td align="char" char=".">.142</td>
<td align="char" char=".">35.409</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">0.153</td>
<td>2</td>
<td align="char" char=".">.926</td>
</tr>
<tr>
<td>Gender Stereotypicality:Attitude</td>
<td align="char" char=".">2.024</td>
<td>2</td>
<td align="char" char=".">.364</td>
<td align="char" char=".">1.198</td>
<td>2</td>
<td align="char" char=".">.549</td>
<td align="char" char=".">1.863</td>
<td>2</td>
<td align="char" char=".">.394</td>
<td align="char" char=".">2.910</td>
<td>2</td>
<td align="char" char=".">.233</td>
</tr>
<tr>
<td>Trial Nr:Attitude</td>
<td align="char" char=".">0.448</td>
<td>1</td>
<td align="char" char=".">.503</td>
<td align="char" char=".">0.592</td>
<td>1</td>
<td align="char" char=".">.441</td>
<td align="char" char=".">0.009</td>
<td>1</td>
<td align="char" char=".">.926</td>
<td align="char" char=".">0.182</td>
<td>1</td>
<td align="char" char=".">.670</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">0.898</td>
<td>4</td>
<td align="char" char=".">.925</td>
<td align="char" char=".">0.375</td>
<td>4</td>
<td align="char" char=".">.984</td>
<td align="char" char=".">11.673</td>
<td>4</td>
<td align="char" char=".">.020*</td>
<td align="char" char=".">10.053</td>
<td>4</td>
<td align="char" char="."><bold>.040*</bold></td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Attitude</td>
<td align="char" char=".">2.960</td>
<td>4</td>
<td align="char" char=".">.565</td>
<td align="char" char=".">7.196</td>
<td>4</td>
<td align="char" char=".">.126</td>
<td align="char" char=".">7.183</td>
<td>4</td>
<td align="char" char=".">.127</td>
<td align="char" char=".">6.183</td>
<td>4</td>
<td align="char" char=".">.186</td>
</tr>
<tr>
<td>Gender Form:Trial Nr:Attitude</td>
<td align="char" char=".">0.877</td>
<td>2</td>
<td align="char" char=".">.645</td>
<td align="char" char=".">0.504</td>
<td>2</td>
<td align="char" char=".">.777</td>
<td align="char" char=".">0.850</td>
<td>2</td>
<td align="char" char=".">.654</td>
<td align="char" char=".">0.594</td>
<td>2</td>
<td align="char" char=".">.743</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr:Attitude</td>
<td align="char" char=".">2.715</td>
<td>2</td>
<td align="char" char=".">.257</td>
<td align="char" char=".">3.223</td>
<td>2</td>
<td align="char" char=".">.200</td>
<td align="char" char=".">0.521</td>
<td>2</td>
<td align="char" char=".">.771</td>
<td align="char" char=".">0.271</td>
<td>2</td>
<td align="char" char=".">.873</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr:Attitude</td>
<td align="char" char=".">5.940</td>
<td>4</td>
<td align="char" char=".">.204</td>
<td align="char" char=".">4.972</td>
<td>4</td>
<td align="char" char=".">.290</td>
<td align="char" char=".">4.665</td>
<td>4</td>
<td align="char" char=".">.323</td>
<td align="char" char=".">4.950</td>
<td>4</td>
<td align="char" char=".">.293</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>***<italic>p</italic> &lt; .001. **<italic>p</italic> &lt; .01. *<italic>p</italic> &lt; .05. ^<italic>p</italic> &lt; .1.</p>
</table-wrap-foot>
</table-wrap>
	
	<fig id="f1" position="anchor" fig-type="figure" orientation="portrait"><label>Figure 1</label><caption>
		<title>Acceptance Rates by Gender Form and Distribution of Acceptance Rates of the Star Form for the Student and the Non-Student Sample</title><p><italic>Note.</italic> Predicted Probability of Acceptance based on the Generalized Mixed Effect Models for the Student Sample (Plot A.1 &amp; A.2) and the Non-Student Sample (Plot B.1 &amp; B.2): Comparison of Complete (left) and Reduced Sample (right) within each of the samples. Error bars show SEs; SEs and significance levels are taken from post-hoc analysis. Histogram of the expected bimodal distribution of mean acceptance rates for the participants of the Student (Plot A.3) and the Non-Student Sample (Plot B.3). Abbreviations: fem = feminine; masc = masculine; nb = non-binary gender star.</p>
	
			<p>***<italic>p</italic> &lt; .001. **<italic>p</italic> &lt; .01. *<italic>p</italic> &lt; .05.</p>
	</caption><graphic xlink:href="spb.13719-f1" position="anchor" orientation="portrait"/></fig>
	
<p>In line with H1.b, the main effect of GF (<xref ref-type="table" rid="t2">Table 2</xref>, M.1.1) was qualified by a significant interaction between GF and attitude: Participants with a more positive attitude towards GFL were more likely to accept star nouns as words. This effect was due only to the one <italic>rejector</italic>, whose attitude (score = 2.40) was less positive than the sample’s mean.</p>
	<p>Moreover, the interaction between GF and trial number was significant. A priori contrast coding (Supplementary Materials, Tables C.1, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that this effect was driven by binary GFs only: While acceptance of feminine forms decreased across time, acceptance of masculine forms increased (see Supplementary Materials, Figure A, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>

<?table t2?>
<?figure f1?>

</sec>
<sec><title>(RQ2) Lexical Access to Role Nouns in Star Form</title>
<sec><title>Acceptance Rates</title>
<p>The statistical analysis of acceptance rates for the sample reduced by the <italic>rejector</italic> (<xref ref-type="table" rid="t2">Table 2</xref>, M1.2; <xref ref-type="fig" rid="f1">Figure 1</xref>, Plot A.2) showed no main effect of GF.</p></sec>
<sec><title>Reaction Times</title>
<p>Predicted RTs of yes-responses are visualized in <xref ref-type="fig" rid="f2">Figure 2</xref> (left panel). As expected, the statistical analysis (<xref ref-type="table" rid="t3">Table 3</xref>, M2) yielded significant main effects of trial number and word length: Participants got faster across time and RTs to shorter words were faster. Importantly, and not in line with H2.a, there was no significant main effect of GF: RTs for star nouns were as fast as RTs for binary forms and do thus not suggest any difficulties in lexical access.</p>
	
	<fig id="f2" position="anchor" fig-type="figure" orientation="portrait"><label>Figure 2</label><caption>
		<title>Reaction Times by Gender Form for the Student and the Non-Student Sample</title><p><italic>Note.</italic> Predicted Reaction Times of yes-Responses of Experimental Item based on the Linear Mixed Effect Models for the Student Sample (left) and the Non-Student Sample (right). Error bars show SEs; SEs and significance levels are taken from post-hoc analysis. Significance levels for within-group models: red; significance levels for inter-group comparisons: black. fem = feminine; masc = masculine; nb = non-binary gender star.</p>
	
			<p>***<italic>p</italic> &lt; .001. **<italic>p</italic> &lt; .01.</p>
	</caption><graphic xlink:href="spb.13719-f2" position="anchor" orientation="portrait"/></fig>

	
<table-wrap id="t3" position="anchor" orientation="portrait">
<label>Table 3</label><caption><title>Results of Type-III Anova of lmer-Model of Reaction Times (Yes-Responses) for Experimental Items for the Student Sample (M2 – Experiment 1) and the Non-Student Sample (M4 – Experiment 2)</title></caption>
<table frame="hsides" rules="groups">
<col width="37%" align="left"/>
<col width="11%"/>
<col width="10%"/>
<col width="10%"/>
<col width="12%"/>
<col width="10%"/>
<col width="10%"/>
<thead>
<tr>
	<th rowspan="3" valign="bottom" align="left">Predictor</th>
	<th colspan="3" scope="colgroup">Student sample<hr/></th>
	<th colspan="3" scope="colgroup">Non-student sample<hr/></th>
</tr>
<tr>
	<th colspan="3" scope="colgroup">M2: Reaction times (yes-responses)<break/>(97 participants)<hr/></th>
	<th colspan="3" scope="colgroup">M4: Reaction times (yes-responses)<break/>(80 participants)<hr/></th>
</tr>
<tr>
<th scope="colgroup">Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Intercept</td>
<td align="char" char=".">89,516.429</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">134,282.059</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Gender Form</td>
<td align="char" char=".">3.626</td>
<td>2</td>
<td align="char" char=".">.163</td>
<td align="char" char=".">113.831</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Gender Stereotypicality</td>
<td align="char" char=".">1.444</td>
<td>2</td>
<td align="char" char=".">.486</td>
<td align="char" char=".">0.979</td>
<td>2</td>
<td align="char" char=".">.613</td>
</tr>
<tr>
<td>Trial Nr</td>
<td align="char" char=".">18.256</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">5.133</td>
<td>1</td>
<td>.023 *</td>
</tr>
<tr>
<td>Attitude</td>
<td align="char" char=".">1.619</td>
<td>1</td>
<td align="char" char=".">.203</td>
<td align="char" char=".">0.540</td>
<td>1</td>
<td align="char" char=".">.462</td>
</tr>
<tr>
<td>Word Length</td>
<td align="char" char=".">9.968</td>
<td>1</td>
<td align="char" char=".">.002**</td>
<td align="char" char=".">12.088</td>
<td>1</td>
<td align="char" char=".">.001***</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality</td>
<td align="char" char=".">3.354</td>
<td>4</td>
<td align="char" char=".">.500</td>
<td align="char" char=".">9.664</td>
<td>4</td>
<td align="char" char=".">.046*</td>
</tr>
<tr>
<td>Gender Form:Trial Nr</td>
<td align="char" char=".">0.659</td>
<td>2</td>
<td align="char" char=".">.719</td>
<td align="char" char=".">6.559</td>
<td>2</td>
<td align="char" char=".">.038*</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">2.197</td>
<td>2</td>
<td align="char" char=".">.333</td>
<td align="char" char=".">0.324</td>
<td>2</td>
<td align="char" char=".">.851</td>
</tr>
<tr>
<td>Gender Form:Attitude</td>
<td align="char" char=".">3.648</td>
<td>2</td>
<td align="char" char=".">.161</td>
<td align="char" char=".">2.430</td>
<td>2</td>
<td align="char" char=".">.297</td>
</tr>
<tr>
<td>Gender Stereotypicality:Attitude</td>
<td align="char" char=".">3.742</td>
<td>2</td>
<td align="char" char=".">.154</td>
<td align="char" char=".">1.200</td>
<td>2</td>
<td align="char" char=".">.549</td>
</tr>
<tr>
<td>Trial Nr:Attitude</td>
<td align="char" char=".">2.487</td>
<td>1</td>
<td align="char" char=".">.115</td>
<td align="char" char=".">0.001</td>
<td>1</td>
<td align="char" char=".">.976</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">5.922</td>
<td>4</td>
<td align="char" char=".">.205</td>
<td align="char" char=".">2.452</td>
<td>4</td>
<td align="char" char=".">.653</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Attitude</td>
<td align="char" char=".">11.589</td>
<td>4</td>
<td align="char" char=".">.021*</td>
<td align="char" char=".">2.246</td>
<td>4</td>
<td align="char" char=".">.691</td>
</tr>
<tr>
<td>Gender Form:Trial Nr:Attitude</td>
<td align="char" char=".">0.249</td>
<td>2</td>
<td align="char" char=".">.883</td>
<td align="char" char=".">0.364</td>
<td>2</td>
<td align="char" char=".">.833</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr:Attitude</td>
<td align="char" char=".">0.542</td>
<td>2</td>
<td align="char" char=".">.763</td>
<td align="char" char=".">2.784</td>
<td>2</td>
<td align="char" char=".">.249</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr:Attitude</td>
<td align="char" char=".">0.432</td>
<td>4</td>
<td align="char" char=".">.98</td>
<td align="char" char=".">2.193</td>
<td>4</td>
<td align="char" char=".">.700</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>***<italic>p</italic> &lt; .001. **<italic>p</italic> &lt; .01. *<italic>p</italic> &lt; .05. ^<italic>p</italic> &lt; .1.</p>
</table-wrap-foot>
</table-wrap>
	
	<p>However, we found a significant interaction between GF, gender stereotypicality, and attitude towards GFL: Participants with a more positive attitude responded faster to stereotypically female nouns in star form than in binary forms. In contrast, they showed slower RTs to stereotypically male nouns in star form than in binary forms (see Supplementary Materials, Figure B, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p></sec></sec></sec>
<sec><title>Summary</title>
<p>In line with hypothesis H1.a, we found the expected bimodal distribution of acceptance rates. Notably, however, only one of 97 students generally rejected star nouns as German words. In line with H1.b, we found that the general acceptance of the gender star might be influenced by attitudes towards GFL—however, as there was only one <italic>rejector</italic>, this finding is not reliable. For participants who generally accepted star nouns as words, there was no significant effect of GF on RTs. Hypothesis H2.a could thus not be confirmed. Consequently, H2.b and H2.c were not relevant.</p>
<p>Experiment 1 is subject to two limitations: First, we tested a homogenous sample of young students, who held a rather positive attitude towards GFL. Second, the majority of participants identified as female. Thus, Experiment 2 was conducted with a sample of older non-students, that was balanced with regard to binary gender identities.</p></sec></sec>
<sec sec-type="other6"><title>Experiment 2: Non-Student Sample</title>
<p>In Experiment 2, we replicated the study described with a sample of non-students varying in age (30–80 years) and academic background. We stuck as closely to the initial design as possible, but used a more detailed questionnaire to assess attitudes towards GFL. All aspects in which Experiment 2 differed from the first one will be described in the following.</p>
<sec sec-type="methods"><title>Method</title>
<sec sec-type="subjects"><title>Participants</title>
	<p>84 non-student participants over the age of 30 were recruited via <italic>Prolific</italic>. Two participants currently enrolled at a university and one participant with insufficient knowledge of German were excluded. One participant was excluded in the course of an outlier anal<?glue?>ysis (see Supplementary Materials, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>). Our final sample consisted of 80 non-students (non-binary: 1, female: 32, male: 47) between 30–80 years (age distribution: Supplementary Materials, Table B, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>). 45 participants had an academic background, while 35 had not studied at a university. All participants received financial compensation in line with the recommendations given by <italic>Prolific</italic>.</p></sec>
<sec><title>Design and Materials</title>
<p>To avoid technical difficulties that occurred during the first experiment, two filler items were added after the start of the experiment and each of the two breaks.</p></sec>
<sec><title>Questionnaire</title>
<p>The 32-item <italic>ABNBL</italic>-questionnaire (<xref ref-type="bibr" rid="r50">Zacharski, 2024</xref>) designed to assess attitudes towards non-binary GFL in German was used. All items were rated on a Likert-scale from 0–9 and a higher score indicated a more positive attitude towards GFL. Following <xref ref-type="bibr" rid="r50">Zacharski (2024)</xref>, participants read a brief definition of the term ‘non-binary gender identity’ before the questionnaire. The mean item score was used for statistical analysis.</p></sec>
<sec><title>Presentation and Procedure</title>
<p>The experiment was implemented on PCIbex (<xref ref-type="bibr" rid="r52">Zehr &amp; Schwarz, 2022</xref>). Participants were redirected to the study via <italic>Prolific</italic>. They replied via keypress (Y/<italic>yes</italic>, N/<italic>no</italic><xref ref-type="fn" rid="fn5"><sup>5</sup></xref><fn id="fn5"><label>5</label>
<p>We changed the response keys to a more intuitive combination. The distance between the keys on the German keyboard is the same as in the first experiment.</p></fn>). The procedure for the experiment was the same as in the first experiment, but participants went through two practice blocks (6 trials each)—one with, and one without feedback.</p></sec>
<sec><title>Data Analysis</title>
<p><bold>(RQ1):</bold> The acceptance rates (M3.1) for experimental items (5,664 datapoints) were analyzed as in M1.1 (Experiment 1).</p>
<p><bold>(RQ2):</bold> The model fit for RTs (M4) was based on yes-responses to experimental items of all participants (5,423 datapoints), as in M2 (Experiment 1).</p>
<p>We fit an additional exploratory model to test the influence of age on lexical access <italic>within</italic> this sample.<xref ref-type="fn" rid="fn6"><sup>6</sup></xref><fn id="fn6"><label>6</label>
	<p>We thank an anonymous reviewer for this suggestion.</p></fn> The model specification (<italic>M4_age</italic>, Supplementary Materials, Tables K.1 &amp; K.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) was the same as for M4, except that <italic>Age</italic> was added to the fixed effects term.</p>
	<p>Finally, for intergroup comparisons and to test H2.d, the processed datasets for both age groups were combined. The two models fitted (acceptance rates for reduced samples: M5; RTs of yes-responses for full samples: M6) were the same as for within-group analyses, except that, because different attitude-scales were used in the experiments, the attitude-variable was replaced by the factor <italic>Group (Students</italic> vs. <italic>Non-Students)</italic> (see Supplementary Materials, Tables F-K, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p></sec></sec>
<sec sec-type="results"><title>Results</title>
<sec><title>Attitude Questionnaire</title>
<p>The mean attitude score was <italic>M</italic> = 4.26 (<italic>SD</italic> = 1.73, range = 0.94–8.16; scale: 0 [negative] to 9 [positive]), with female participants having significantly more positive attitudes (<italic>M</italic> = 4.97, <italic>SD</italic> = 1.63, range = 2.38–8.16) than male participants (<italic>M</italic> = 3.75, <italic>SD</italic> = 1.62, range = 0.94–7.41) (<italic>Wilcoxon rank sum test: W</italic> = 1056.50, n<sub>1</sub> = 32, n<sub>1</sub> = 47, <italic>p</italic> = 0.002).</p></sec>
<sec><title>(RQ1) Acceptance of Role Nouns in Star Form as German Words</title>
	<p>The statistical analysis of acceptance rates for the complete sample (<xref ref-type="table" rid="t2">Table 2</xref>, M3.1) yielded a significant main effect of GF. A priori contrast coding and post hoc analysis (Supplementary Materials, Tables F.1 &amp; F.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that acceptance of star nouns was significantly lower than for binary forms. For the complete sample (<xref ref-type="fig" rid="f1">Figure 1</xref>, Plot B.1), there was a comparably large variance for the star form. The participants’ mean acceptance rates for star nouns (<xref ref-type="fig" rid="f1">Figure 1</xref>, Plot B.3) showed, in line with H1.a, the expected bimodal distribution (<italic>Hartigan’s Dip Test for Unimodality: D</italic> = 0.11, <italic>p</italic> &lt; .001). However, in line with H1.c, compared to just one <italic>rejector</italic> in the student sample, more people, four in total, rejected star nouns in the majority of cases (less than 10% accepted). Still, as the major mode of the distribution shows, the great majority of participants (95%) accepted star nouns as German words (&gt; 79% mean acceptance of star).</p>
<p>As in the student sample, and in line with H1.b, the main effect of GF in the complete sample was qualified by a significant interaction between GF and attitude towards GFL: All four <italic>rejectors</italic> held a rather negative attitude towards GFL (<italic>M</italic> = 2.0, <italic>SD</italic> = 0.72, range = 1.47–3.06). Interestingly, they all identified as male.</p>
	<p>Moreover, we found a significant three-way interaction between GF, gender stereoty<?glue?>picality, and trial number. A priori contrast-coding (Supplementary Materials, Table F.1, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that this effect was driven by binary GFs: For stereotypically female role nouns, acceptance of feminine forms increased while acceptance of masculine forms decreased over time. Thus, over the course of the experiment, a consistency effect between stereotypes and GF for stereotypically female nouns emerged. For stereotypically neutral nouns, acceptance of feminine forms decreased while acceptance of masculine forms increased (see Supplementary Materials, Figure C, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>). However, overall, the acceptance of binary forms was very high and the differences that emerged were rather small.</p></sec>
<sec><title>(RQ2) Lexical Access to Role Nouns in Star Form</title>
<sec><title>Acceptance Rates</title>
	<p>In contrast to the student sample, the statistical analysis of acceptance rates for the sample reduced by <italic>rejectors</italic> (<xref ref-type="table" rid="t2">Table 2</xref>, M3.2; <xref ref-type="fig" rid="f1">Figure 1</xref>, Plot B.2) yielded a main effect of GF. A priori contrast coding and post hoc analysis (Supplementary Materials, Tables G.1 &amp; G.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that this effect was due to higher rejection rates for star nouns compared to binary forms. This effect was, however, not qualified by an interaction with attitudes towards GFL as in model M3.1. Only the interaction effect of GF, gender stereotypicality, and trial number driven by binary forms described above remained significant.</p></sec>
<sec><title>Reaction Times</title>
	<p>Predicted RTs of yes-responses for the different GFs are visualized in <xref ref-type="fig" rid="f2">Figure 2</xref> (right panel). Analogous to the student sample, the statistical analysis (<xref ref-type="table" rid="t3">Table 3</xref>, M4) yielded a main effect of trial number and of word length. In contrast to the student sample, however, it moreover yielded a significant main effect of GF: A priori contrasts and post-hoc analysis (Supplementary Materials, Tables H.1 &amp; H.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>; <xref ref-type="fig" rid="f2">Figure 2</xref>, right panel, significance levels in red) showed that RTs for star nouns were significantly slower than for binary forms. This finding is in line with H2.a and suggests difficulties in lexical access for star nouns.</p>
<p>In line with H2.b, this effect was qualified by a significant interaction of GF and trial number: RTs to star nouns decreased faster than those for binary forms. That is, there was an adaptation effect for star nouns over the course of the experiment—up to the point where initial differences between the three GFs disappeared (<xref ref-type="fig" rid="f3">Figure 3</xref>, Plot A).</p>
	
	<fig id="f3" position="anchor" fig-type="figure" orientation="portrait"><label>Figure 3</label><caption>
		<title>Reaction Times: Interaction Plots for Gender Form and A: Trial Nr; B: Participant’s Age for the Non-Student Sample</title><p><italic>Note.</italic> Plot A: Predicted Reaction Times (yes-Responses) by Gender Form and Trial Number, Model M4.1 (<xref ref-type="table" rid="t3">Table 3</xref>) for the Non-Student Sample. Plot B: Predicted Reaction Times (yes-Responses) by Gender Form and Age, Model M4.2 (<xref ref-type="table" rid="t3">Table 3</xref>) for the Non-Student Sample. fem = feminine; masc = masculine; nb = non-binary gender star.</p></caption><graphic xlink:href="spb.13719-f3" position="anchor" orientation="portrait"/></fig>

	
<p>Contrary to H.2c, there was no significant interaction between GF and attitudes towards GFL. Hence, for the subgroup of people who generally accepted the gender star, the attitude score was unrelated to the performance in the lexical decision task.</p>
	<p>A priori contrast coding (Supplementary Materials, Tables H.1, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that the interaction of GF and gender stereotypicality was due to binary GFs only, suggesting, again, consistency effects: For stereotypically female words, RTs for feminine forms were faster than for masculine forms, and vice versa for stereotypically male words (Supplementary Materials, Figure D, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>
	<p>Finally, note that in the exploratory model <italic>M4_age</italic> (Supplementary Materials, Table K.1, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>), the main effect of GF was qualified by an interaction with age. A priori contrast coding (Supplementary Materials, Table K.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that, while RTs generally increased with age, this increase was stronger for the star compared to binary forms (<xref ref-type="fig" rid="f3">Figure 3</xref>, Plot B).</p>

	<?figure f3?>

</sec>
<sec><title>Inter-Group Comparisons</title>
	<p>The description of the results for the two samples confirmed the expectation that students have less difficulties processing the rather recently introduced gender star. Although the experiments were conducted separately, a direct statistical comparison was carried out to uncover group differences (<xref ref-type="table" rid="t4">Table 4</xref>, M5 &amp; M6): In line with the observations from M1.1 and M.3.1, for acceptance rates of the reduced samples without <italic>rejectors</italic> (<xref ref-type="table" rid="t4">Table 4</xref>, M5), there was a main effect of <italic>Group</italic> qualified by a significant interaction with gender form. A priori contrast coding and post-hoc analysis (Supplementary Materials, Table I.1 &amp; I.2, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) showed that, while for binary GFs, non-students had significantly higher acceptance rates than students (<italic>feminine</italic>: non-students: <italic>M</italic> = 97.73, <italic>SD</italic> = 3.36, students: <italic>M</italic> = 95.96%, <italic>SD</italic> = 4.15, <italic>masculine</italic>: non-students: <italic>M</italic> = 97.66, <italic>SD</italic> = 3.10, students: <italic>M</italic> = 95.48%, <italic>SD</italic> = 5.90), no significant difference was found for star forms (non-students: <italic>M</italic> = 96.22, <italic>SD</italic> = 5.03, students: <italic>M</italic> = 95.07%, <italic>SD</italic> = 4.92). The statistical analysis for RTs (<xref ref-type="table" rid="t4">Table 4</xref>, M6) yielded a significant main effect of <italic>Group</italic>: Independent of GF, students responded faster than non-students (<xref ref-type="fig" rid="f2">Figure 2</xref>, significance levels in black). A priori contrast coding for the significant interaction of GF and <italic>Group</italic> (Supplementary Materials, Table J, <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>) confirmed the observation that, while there was no significant effect of GF on RTs in the student sample, GF had a significant effect on lexical access in the non-student sample.</p>
<table-wrap id="t4" position="anchor" orientation="portrait">
<label>Table 4</label><caption><title>Inter-Group Comparison: Results of Type-III Anova of glmer-Models of Acceptance Rates (M5) and of lmer-Model of Reaction Times (Yes-Responses) (M6) for Experimental Items</title></caption>
<table frame="hsides" rules="groups" style="compact-1">
<col width="42%" align="left"/>
<col width="10%"/>
<col width="9%"/>
<col width="10%"/>
<col width="10%"/>
<col width="9%"/>
<col width="10%"/>
<thead>
<tr>
	<th rowspan="3" valign="bottom" align="left">Predictor</th>
	<th colspan="6" scope="colgroup">Inter-Group comparisons<hr/></th>
</tr>
<tr>
	<th colspan="3" scope="colgroup" valign="bottom">M5: Acceptance rates<break/>(students and non-students, reduced sample, 172 participants)<hr/></th>
	<th colspan="3" scope="colgroup" valign="bottom">M6: Reaction times (yes-responses)<break/>(students and non-students, complete sample, 177 participants)<hr/></th>
</tr>
<tr>
<th scope="colgroup">Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Chisq</th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Gender Form</td>
<td align="char" char=".">18.268</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">57.167</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Gender Stereotypicality</td>
<td align="char" char=".">2.680</td>
<td>2</td>
<td align="char" char=".">.262</td>
<td align="char" char=".">1.292</td>
<td>2</td>
<td align="char" char=".">.524</td>
</tr>
<tr>
<td>Trial Nr</td>
<td align="char" char=".">5.595</td>
<td>1</td>
<td align="char" char=".">.018*</td>
<td align="char" char=".">56.679</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Group</td>
<td align="char" char=".">17.449</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
<td align="char" char=".">22.983</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Word length</td>
<td>—</td>
<td>—</td>
<td>—</td>
<td align="char" char=".">13.520</td>
<td>1</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality</td>
<td align="char" char=".">7.251</td>
<td>4</td>
<td align="char" char=".">.123</td>
<td align="char" char=".">8.388</td>
<td>4</td>
<td>.078^</td>
</tr>
<tr>
<td>Gender Form:Trial Nr</td>
<td align="char" char=".">6.332</td>
<td>2</td>
<td align="char" char=".">.042*</td>
<td align="char" char=".">4.937</td>
<td>2</td>
<td>.085^</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">1.504</td>
<td>2</td>
<td align="char" char=".">.472</td>
<td align="char" char=".">1.199</td>
<td>2</td>
<td align="char" char=".">.549</td>
</tr>
<tr>
<td>Gender Form:Group</td>
<td align="char" char=".">5.390</td>
<td>2</td>
<td>.068^</td>
<td align="char" char=".">55.057</td>
<td>2</td>
<td align="char" char=".">&lt; .001***</td>
</tr>
<tr>
<td>Gender Stereotypicality:Group</td>
<td align="char" char=".">1.616</td>
<td>2</td>
<td align="char" char=".">.446</td>
<td align="char" char=".">2.209</td>
<td>2</td>
<td align="char" char=".">.331</td>
</tr>
<tr>
<td>Trial Nr:Group</td>
<td align="char" char=".">1.926</td>
<td>1</td>
<td align="char" char=".">.165</td>
<td align="char" char=".">2.955</td>
<td>1</td>
<td>.086^</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr</td>
<td align="char" char=".">7.767</td>
<td>4</td>
<td align="char" char=".">.100</td>
<td align="char" char=".">4.517</td>
<td>4</td>
<td align="char" char=".">.340</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Group</td>
<td align="char" char=".">2.480</td>
<td>4</td>
<td align="char" char=".">.648</td>
<td align="char" char=".">4.802</td>
<td>4</td>
<td align="char" char=".">.308</td>
</tr>
<tr>
<td>Gender Form:Trial Nr:Group</td>
<td align="char" char=".">1.182</td>
<td>2</td>
<td align="char" char=".">.554</td>
<td align="char" char=".">1.355</td>
<td>2</td>
<td align="char" char=".">.508</td>
</tr>
<tr>
<td>Gender Stereotypicality:Trial Nr:Group</td>
<td align="char" char=".">2.302</td>
<td>2</td>
<td align="char" char=".">.316</td>
<td align="char" char=".">2.421</td>
<td>2</td>
<td align="char" char=".">.298</td>
</tr>
<tr>
<td>Gender Form:Gender Stereotypicality:Trial Nr:Group</td>
<td align="char" char=".">9.405</td>
<td>4</td>
<td>.052^</td>
<td align="char" char=".">3.657</td>
<td>4</td>
<td align="char" char=".">.454</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>***<italic>p</italic> &lt; .001. **<italic>p</italic> &lt; .01. *<italic>p</italic> &lt; .05. ^<italic>p</italic> &lt; .1.</p>
</table-wrap-foot>
</table-wrap></sec></sec></sec>
<sec><title>Summary</title>
<p>With regard to (RQ1) and in line with hypothesis H1.a, we found the expected bimodal distribution of acceptance rates: Four of the 80 non-students generally rejected star nouns as German words. In line with H1.b, they held a rather negative attitude towards GFL. In line with H1.c, the percentage of <italic>rejectors</italic> was higher in the older, non-student sample than in the younger, student sample.</p>
<p>With regard to (RQ2) and in line with H2.a, participants of the non-student sample who generally accepted star nouns as words, that is, the majority of participants (95%), showed significantly slower RTs for star nouns than for feminine and masculine forms. However, in line with H2.b, RTs for star nouns decreased more strongly over the course of the experiment than for binary forms suggesting that the processing of the star became less effortful over time. Contrary to H2.c, attitudes towards GFL did not predict the performance in the lexical decision task. However, in line with H2.d, comparisons between the two samples showed that processing was easier for the younger, student sample than for the older, non-student sample. In line with that, <italic>within</italic> the non-student sample, a higher age was accompanied by slower RTs to star nouns compared to binary forms. This suggests that, in addition to the (non-)student status, one factor driving the processing differences <italic>between</italic> the student and the non-student sample might be age.</p></sec></sec>
<sec sec-type="discussion"><title>General Discussion</title>
<p>The non-binary gender star in German (e.g., Radfahrer*in – <italic>cyclist</italic>) is the most popular gender-fair alternative for generically intended masculine role nouns to refer to persons of <italic>all</italic> genders, that is, persons identifying beyond a female-male dichotomy, as well as women and men (<xref ref-type="bibr" rid="r30">Krome, 2020</xref>). Opponents of its use argue that its non-orthographic form impedes the readability of texts (e.g., <xref ref-type="bibr" rid="r40">Rat für deutsche Rechtschreibung, 2021</xref>). Experimental research on this claim is rare. Because visual word recognition is a crucial component of the reading process (<xref ref-type="bibr" rid="r6">Coltheart, 2006</xref>), we developed a lexical decision task to test whether lexical access to singular role nouns is more difficult to star nouns compared to the orthographic and more common feminine and masculine forms. To the best of our knowledge, this is the first study investigating the readability of the star with implicit measures and, therefore, an important contribution to the current debate on GFL in Germany. In order to account for interindividual differences, we tested not only a homogenous student sample (Experiment 1), but also a heterogenous sample of non-students varying in age as well as academic background, which is a further strength of our study (cf. <xref ref-type="bibr" rid="r26">Jones, 2010</xref>).</p>
<p>Previous surveys on the acceptance of the gender star in Germany showed that only one quarter of the German population is in favor of its use (e.g., <xref ref-type="bibr" rid="r25">Jäckle, 2022</xref>). Based on these findings, we expected a bimodal distribution of the acceptance of star nouns as German words. While this hypothesis was confirmed, the number of <italic>rejectors</italic> was surprisingly small: only one student and four non-students, that is, merely 2.8% of all participants rejected star nouns as words in almost all of the cases. As expected, participants of the younger, student sample were more likely to generally accept star nouns as German words. Moreover, general rejection of star nouns as words was predicted by attitudes towards GFL: Participants with a less positive attitude towards GFL were more likely to be amongst the <italic>rejectors</italic>.</p>
<p>A closer inspection of the influence of GF on RTs for those participants who generally accept star nouns as words, sheds light on whether lexical access to star nouns is more difficult than to the more common binary forms. For the student sample, we found no evidence for difficulties in the recognition of role nouns in star form. These findings are in line with previous findings by <xref ref-type="bibr" rid="r13">Friedrich et al. (2021)</xref>, who reported that the use of the gender star did not increase subjectively perceived word difficulty in a student sample. The case was different for the non-student sample: Participants showed significantly slower RTs to star nouns than to binary forms. These findings suggest difficulties in lexical access due to the insertion of the non-orthographic asterisk. However, processing of the star became easier over the course of the experiment: While RTs generally decreased across time, that is, independent of GF, the decrease was significantly steeper for star nouns—up to the point where RTs were comparably fast for all GFs. This suggests an adaptation effect for the non-student sample. Thus, while the initial processing of star nouns seems to be harder, their processing becomes less effortful with time (cf. <xref ref-type="bibr" rid="r15">Gabriel et al., 2018</xref>)—even over the short course of the experiment. Interestingly, and not in line with our expectations, attitudes towards GFL did not predict the success of lexical access to star nouns. However, participants’ age might be a predictor: First, participants of the younger, student sample had significantly less difficulties than participants of the older, non-student sample. Second, an additional exploratory analysis <italic>within</italic> the non-student sample showed that RTs increased with age, and this increase was largest for star nouns. A possible explanation for the crucial role participants’ age seems to play for successful lexical access—in line with theories on visual word recognition (<xref ref-type="bibr" rid="r8">Coltheart et al., 2001</xref>; <xref ref-type="bibr" rid="r39">Rastle, 2016</xref>)—is the fact that the gender star has been in the public for less than a decade. Consequently, older people first encountered star nouns as adults and age of acquisition is higher. Moreover, in its guidelines for GFL, the University of Freiburg explicitly suggests replacing the generically intended masculine with gender-fair alternatives such as the gender star (cf. <xref ref-type="bibr" rid="r43">Schneider, 2022</xref>). Thus, students are likely to be more familiar with the star than non-students: Even though the use of GFL in the media and other public domains also increases, the usage of GFL is, in general, less common and less systematic in informal contexts (cf. <xref ref-type="bibr" rid="r15">Gabriel et al., 2018</xref>). A gender-fair form useful to further investigate the role of age of acquisition and familiarity is the capital-I form, as this non-orthographic abbreviation of the pair form has already been in use since the 1980s. Comparing word recognition of the capital-I and the gender star form in older readers might allow us to differentiate more thoroughly between the influences of orthography, familiarity, and age of acquisition.</p>
<p>Another interesting finding is that gender stereotypes are activated already on the word level. In line with previous studies (e.g., <xref ref-type="bibr" rid="r42">Sato et al., 2016</xref>; <xref ref-type="bibr" rid="r51">Zacharski &amp; Ferstl, 2023</xref>), we found consistency effects for the binary forms in the non-student sample: RTs were faster when the semantic stereotype matched the grammatical gender of the role noun. Thus, semantics are activated in the processing of different GFs—even if the meaning of role nouns is irrelevant for the participants’ task. A more subtle semantic influence was found for students with a positive attitude towards GFL. Here, RTs to star nouns decreased more slowly over the duration of the experiment when the role noun was stereotypically male, as compared to stereotypically female and neutral nouns. Further research is needed to investigate potential interactions between attitudes, gender stereotypicality, and non-binary forms such as the gender star.</p>
<p>Even though one strength of our study is that a lexical decision task allows processes on the word level to be tested early on and without potential influences of text context, word recognition is only one component of the reading process. Future studies should investigate the processing of the gender star on the text level using implicit measures such as eye-tracking. It will be moreover interesting to consider further interindividual differences. In particular, in order to find out more about the influence of participants’ gender identity on the processing of GFL, we have to take <italic>all</italic> genders into account—particularly those identifying beyond the binary. Furthermore, future studies should test how different forms of GFL affect persons with reading disorders, or L2-learners.</p>
<sec sec-type="conclusions"><title>Conclusions</title>
<p>The experimental design was well-suited to test the influence of the within-word insertion of a special character in non-binary gender-fair forms on lexical access to role nouns, thus providing a highly valuable addition to studies based on self-report questionnaires. RTs showed differences in lexical access to the gender star compared to binary forms for the older, non-student sample, but not for the younger, student sample. While age—in addition to the (non-)student status of participants—predicted the ease of lexical access to star nouns, subjective attitude ratings did not. The worry that the gender star is more difficult to read is thus not completely unwarranted. However, our findings showed that initial difficulties can be overcome the more a person is confronted with gender-fair alternatives. In our opinion, the results presented are thus promising for proponents of the star: When the gender star becomes more established, traffic signs displaying “Radfahrer*innen bitte absteigen” (<italic>Cyclists</italic> [star] <italic>please dismount</italic>) might decrease the male bias—while still guaranteeing readability.</p>
</sec></sec>
</body>
<back>

	<sec sec-type="ethics-statement">
		<title>Ethics Statement</title>
		<p>The study was conducted in line with the ethical standards required by the Declaration of Helsinki and did not involve vulnerable participants or pose any risks. Informed consent has been obtained from all respondents prior to their participation in the study.</p>
	</sec>
	
<fn-group><fn fn-type="financial-disclosure">
<p>This research was funded by the German Research Foundation (DFG) (project number: 456835372/Ferstl, FE 474/5-1).</p></fn></fn-group><ack><title>Acknowledgment</title>
	<p>The first experiment was conducted by Alexandra Kruppa in partial fulfilment of the requirements for the M.Sc. degree in psychology. We are indebted to Julius Fenn for supporting the programming and data processing of the first experiment. Moreover, we are thankful for the inspirational exchange with Helga Kotthoff, Damaris Nübling, Hannah Bröder, and Paul Meuleneers within the DFG-project <italic>Gender related practices in person reference: Discourse, grammar, cognition</italic> and with Lars Konieczny. Finally, we wish to thank our student assistants Sarah Kapp and Tim Sudermann.</p></ack>
<ref-list><title>References</title>
<ref id="r1"><mixed-citation publication-type="preprint">Bates, D., Kliegl, R., Vasishth, S., &amp; Baayen, H. (2015). <italic>Parsimonious mixed models</italic>. arXiv. <pub-id pub-id-type="doi">10.48550/arXiv.1506.04967</pub-id></mixed-citation></ref>
<ref id="r2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Bates</surname>, <given-names>D.</given-names></string-name>, <string-name name-style="western"><surname>Maechler</surname>, <given-names>M.</given-names></string-name>, <string-name name-style="western"><surname>Bolker</surname>, <given-names>B.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Walker</surname>, <given-names>S.</given-names></string-name></person-group> (<year>2015</year>). <article-title>Fitting linear mixed-effects models using lme4.</article-title> <source>Journal of Statistical Software</source>, <volume>67</volume>(<issue>1</issue>), <fpage>1</fpage>–<lpage>48</lpage>. <pub-id pub-id-type="doi">10.18637/jss.v067.i01</pub-id></mixed-citation></ref>
<ref id="r3"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Blake</surname>, <given-names>C.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Klimmt</surname>, <given-names>C.</given-names></string-name></person-group> (<year>2010</year>). <article-title>Geschlechtergerechte Formulierungen in Nachrichtentexten.</article-title> <source>Publizistik</source>, <volume>55</volume>(<issue>3</issue>), <fpage>289</fpage>–<lpage>304</lpage>. <pub-id pub-id-type="doi">10.1007/s11616-010-0093-2</pub-id></mixed-citation></ref>
<ref id="r4"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Bradley</surname>, <given-names>E. D.</given-names></string-name></person-group> (<year>2020</year>). <article-title>The influence of linguistic and social attitudes on grammaticality judgments of singular ‘they’.</article-title> <source>Language Sciences</source>, <volume>78</volume>, <elocation-id>101272</elocation-id>. <pub-id pub-id-type="doi">10.1016/j.langsci.2020.101272</pub-id></mixed-citation></ref>
<ref id="r5"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Braun</surname>, <given-names>F.</given-names></string-name>, <string-name name-style="western"><surname>Gottburgsen</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Sczesny</surname>, <given-names>S.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Stahlberg</surname>, <given-names>D.</given-names></string-name></person-group> (<year>1998</year>). <article-title>Können Geophysiker Frauen sein? Generische Personenbezeichnungen im Deutschen.</article-title> <source>Zeitschrift Für Germanistische Linguistik</source>, <volume>26</volume>(<issue>3</issue>), <fpage>265</fpage>–<lpage>283</lpage>. <pub-id pub-id-type="doi">10.1515/zfgl.1998.26.3.265</pub-id></mixed-citation></ref>
<ref id="r6"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Coltheart</surname>, <given-names>M.</given-names></string-name></person-group> (<year>2006</year>). <article-title>Dual route and connectionist models of reading: An overview.</article-title> <source>London Review of Education</source>, <volume>4</volume>(<issue>1</issue>), <fpage>5</fpage>-<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1080/13603110600574322</pub-id></mixed-citation></ref>
	<ref id="r7"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Coltheart</surname>, <given-names>M.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Freeman</surname>, <given-names>R.</given-names></string-name></person-group> (<year>1974</year>). <article-title>Case alternation impairs word identification.</article-title> <source>Bulletin of the Psychonomic Society</source>, <volume>3</volume>, <fpage>102</fpage>–<lpage>104</lpage>. <pub-id pub-id-type="doi">10.3758/BF03333407</pub-id></mixed-citation></ref>
<ref id="r8"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Coltheart</surname>, <given-names>M.</given-names></string-name>, <string-name name-style="western"><surname>Rastle</surname>, <given-names>K.</given-names></string-name>, <string-name name-style="western"><surname>Perry</surname>, <given-names>C.</given-names></string-name>, <string-name name-style="western"><surname>Langdon</surname>, <given-names>R.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Ziegler</surname>, <given-names>J.</given-names></string-name></person-group> (<year>2001</year>). <article-title>DRC: A dual route cascaded model of visual word recognition and reading aloud.</article-title> <source>Psychological Review</source>, <volume>108</volume>(<issue>1</issue>), <fpage>204</fpage>–<lpage>256</lpage>. <pub-id pub-id-type="doi">10.1037//0033-295X.108.1.204</pub-id><pub-id pub-id-type="pmid">11212628</pub-id></mixed-citation></ref>
<ref id="r9"><mixed-citation publication-type="web">Davies, K. (2023). <italic>Average age of first degree university graduates in Germany from 2003 to 2022 (in years)</italic>. Statista. <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/584325/first-degree-university-graduates-age-germany/">https://www.statista.com/statistics/584325/first-degree-university-graduates-age-germany/</ext-link></mixed-citation></ref>
<ref id="r10"><mixed-citation publication-type="book">Dietsche, L. (2020). <italic>Disambiguierung des generischen Maskulinums: Eine Eye-Tracking-Studie zum Einfluss des grammatischen Geschlechts auf die Interpretation von Personenbezeichnungen mithilfe des Visual-World-Paradigmas</italic> [Master’s thesis]. Albert-Ludwigs-Universität Freiburg, Freiburg.</mixed-citation></ref>
<ref id="r11"><mixed-citation publication-type="book">Diewald, G., &amp; Steinhauer, A. (2017). <italic>Richtig gendern. Wie Sie angmessen und verständlich schreiben</italic>. Dudenverlag.</mixed-citation></ref>
<ref id="r12"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Faul</surname>, <given-names>F.</given-names></string-name>, <string-name name-style="western"><surname>Erdfelder</surname>, <given-names>E.</given-names></string-name>, <string-name name-style="western"><surname>Lang</surname>, <given-names>A.-G.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Buchner</surname>, <given-names>A.</given-names></string-name></person-group> (<year>2007</year>). <article-title>G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.</article-title> <source>Behavior Research Methods</source>, <volume>39</volume>, <fpage>175</fpage>–<lpage>191</lpage>. <pub-id pub-id-type="doi">10.3758/BF03193146</pub-id><pub-id pub-id-type="pmid">17695343</pub-id></mixed-citation></ref>
<ref id="r13"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Friedrich</surname>, <given-names>M. C. G.</given-names></string-name>, <string-name name-style="western"><surname>Drößler</surname>, <given-names>V.</given-names></string-name>, <string-name name-style="western"><surname>Oberlehberg</surname>, <given-names>N.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Heise</surname>, <given-names>E.</given-names></string-name></person-group> (<year>2021</year>). <article-title>The Influence of the Gender Asterisk (“Gendersternchen”) on Comprehensibility and Interest.</article-title> <source>Frontiers in Psychology</source>, <volume>12</volume>, <elocation-id>760062</elocation-id>. <pub-id pub-id-type="doi">10.3389/fpsyg.2021.760062</pub-id><pub-id pub-id-type="pmid">34970191</pub-id></mixed-citation></ref>
<ref id="r14"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Friedrich</surname>, <given-names>M. C. G.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Heise</surname>, <given-names>E.</given-names></string-name></person-group> (<year>2019</year>). <article-title>Does the Use of Gender-Fair Language Influence the Comprehensibility of Texts?</article-title> <source>Swiss Journal of Psychology</source>, <volume>78</volume>(<issue>1-2</issue>), <fpage>51</fpage>–<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1024/1421-0185/a000223</pub-id></mixed-citation></ref>
<ref id="r15"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Gabriel</surname>, <given-names>U.</given-names></string-name>, <string-name name-style="western"><surname>Gygax</surname>, <given-names>P. M.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Kuhn</surname>, <given-names>E. A.</given-names></string-name></person-group> (<year>2018</year>). <article-title>Neutralising linguistic sexism: Promising but cumbersome?</article-title> <source>Group Processes &amp; Intergroup Relations</source>, <volume>21</volume>(<issue>5</issue>), <fpage>844</fpage>–<lpage>858</lpage>. <pub-id pub-id-type="doi">10.1177/1368430218771742</pub-id></mixed-citation></ref>
<ref id="r16"><mixed-citation publication-type="web">Gesellschaft für deutsche Sprache. (2020). <italic>Leitlinien der GfdS zu den Möglichkeiten des Genderings</italic>. <ext-link ext-link-type="uri" xlink:href="https://gfds.de/standpunkt-der-gfds-zu-einer-geschlechtergerechten-sprache/">https://gfds.de/standpunkt-der-gfds-zu-einer-geschlechtergerechten-sprache/</ext-link></mixed-citation></ref>
<ref id="r17"><mixed-citation publication-type="web">Goldhahn, D., Eckart, T., &amp; Quasthoff, U. (2012). Building large monolingual dictionaries at the Leipzig corpora collection: From 100 to 200 languages. <italic>Proceedings of the 8th International Language Resources and Evaluation (LREC'12)</italic>. <ext-link ext-link-type="uri" xlink:href="https://corpora.uni-leipzig.de/de?corpusId=deu_news_2020">https://corpora.uni-leipzig.de/de?corpusId=deu_news_2020</ext-link></mixed-citation></ref>
<ref id="r18"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Grainger</surname>, <given-names>J.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Holcomb</surname>, <given-names>P. J.</given-names></string-name></person-group> (<year>2009</year>). <article-title>Watching the word go by: On the time-course of component processes in visual word recognition.</article-title> <source>Language and Linguistics Compass</source>, <volume>3</volume>(<issue>1</issue>), <fpage>128</fpage>–<lpage>156</lpage>. <pub-id pub-id-type="doi">10.1111/j.1749-818X.2008.00121.x</pub-id><pub-id pub-id-type="pmid">19750025</pub-id></mixed-citation></ref>
<ref id="r19"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Gygax</surname>, <given-names>P.</given-names></string-name>, <string-name name-style="western"><surname>Elmiger</surname>, <given-names>D.</given-names></string-name>, <string-name name-style="western"><surname>Zufferey</surname>, <given-names>S.</given-names></string-name>, <string-name name-style="western"><surname>Garnham</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Sczesny</surname>, <given-names>S.</given-names></string-name>, <string-name name-style="western"><surname>Von Stockhausen</surname>, <given-names>L.</given-names></string-name>, <string-name name-style="western"><surname>Braun</surname>, <given-names>F.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Oakhill</surname>, <given-names>J.</given-names></string-name></person-group> (<year>2019</year>). <article-title>A language index of grammatical gender dimensions to study the impact of grammatical gender on the way we perceive women and men.</article-title> <source>Frontiers in Psychology</source>, <volume>10</volume>, <elocation-id>1604</elocation-id>. <pub-id pub-id-type="doi">10.3389/fpsyg.2019.01604</pub-id><pub-id pub-id-type="pmid">31379661</pub-id></mixed-citation></ref>
<ref id="r20"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Gygax</surname>, <given-names>P.</given-names></string-name>, <string-name name-style="western"><surname>Gabriel</surname>, <given-names>U.</given-names></string-name>, <string-name name-style="western"><surname>Sarrasin</surname>, <given-names>O.</given-names></string-name>, <string-name name-style="western"><surname>Oakhill</surname>, <given-names>J.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Garnham</surname>, <given-names>A.</given-names></string-name></person-group> (<year>2008</year>). <article-title>Generically intended, but specifically interpreted: When beauticians, musicians, and mechanics are all men.</article-title> <source>Language and Cognitive Processes</source>, <volume>23</volume>(<issue>3</issue>), <fpage>464</fpage>–<lpage>485</lpage>. <pub-id pub-id-type="doi">10.1080/01690960701702035</pub-id></mixed-citation></ref>
<ref id="r21"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Gygax</surname>, <given-names>P.</given-names></string-name>, <string-name name-style="western"><surname>Sato</surname>, <given-names>S.</given-names></string-name>, <string-name name-style="western"><surname>Öttl</surname>, <given-names>A.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Gabriel</surname>, <given-names>U.</given-names></string-name></person-group> (<year>2021</year>). <article-title>The masculine form in grammatically gendered languages and its multiple interpretations: A challenge for our cognitive system.</article-title> <source>Language Sciences</source>, <volume>83</volume>, <elocation-id>101328</elocation-id>. <pub-id pub-id-type="doi">10.1016/j.langsci.2020.101328</pub-id></mixed-citation></ref>
<ref id="r22"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Hartigan</surname>, <given-names>J. A.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Hartigan</surname>, <given-names>P. M.</given-names></string-name></person-group> (<year>1985</year>). <article-title>The dip test of unimodality.</article-title> <source>Annals of Statistics</source>, <volume>13</volume>(<issue>1</issue>). <comment>Advance online publication</comment>. <pub-id pub-id-type="doi">10.1214/aos/1176346577</pub-id></mixed-citation></ref>
<ref id="r23"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Hauk</surname>, <given-names>O.</given-names></string-name>, <string-name name-style="western"><surname>Coutout</surname>, <given-names>C.</given-names></string-name>, <string-name name-style="western"><surname>Holden</surname>, <given-names>A.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Chen</surname>, <given-names>Y.</given-names></string-name></person-group> (<year>2012</year>). <article-title>The time-course of single-word reading: Evidence from fast behavioral and brain responses.</article-title> <source>NeuroImage</source>, <volume>60</volume>(<issue>2</issue>), <fpage>1462</fpage>–<lpage>1477</lpage>. <pub-id pub-id-type="doi">10.1016/j.neuroimage.2012.01.061</pub-id><pub-id pub-id-type="pmid">22281671</pub-id></mixed-citation></ref>
<ref id="r24"><mixed-citation publication-type="web">Henninger, F., Shevchenko, Y., Mertens, U., Kieslich, P. J., &amp; Hilbig, B. E. (2023). <italic>lab.js: A free, open, online experiment builder</italic> [Computer software]. Zenodo.</mixed-citation></ref>
<ref id="r25"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Jäckle</surname>, <given-names>S.</given-names></string-name></person-group> (<year>2022</year>). <article-title>Per aspera ad astra – Eine politikwissenschaftliche Analyse der Akzeptanz des Gendersterns in der deutschen Bevölkerung auf Basis einer Online-Umfrage.</article-title> <source>Politische Vierteljahresschrift</source>, <volume>63</volume>(<issue>3</issue>), <fpage>469</fpage>–<lpage>497</lpage>. <pub-id pub-id-type="doi">10.1007/s11615-022-00380-z</pub-id></mixed-citation></ref>
<ref id="r26"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Jones</surname>, <given-names>D.</given-names></string-name></person-group> (<year>2010</year>). <article-title>A WEIRD view of human nature skews psychologists’ studies.</article-title> <source>Science</source>, <volume>328</volume>, <fpage>1627</fpage>. <pub-id pub-id-type="doi">10.1126/science.328.5986.1627</pub-id><pub-id pub-id-type="pmid">20576866</pub-id></mixed-citation></ref>
<ref id="r27"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Keith</surname>, <given-names>N.</given-names></string-name>, <string-name name-style="western"><surname>Hartwig</surname>, <given-names>K.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Richter</surname>, <given-names>T.</given-names></string-name></person-group> (<year>2022</year>). <article-title>Ladies first or ladies last: Do masculine generics evoke a reduced and later retrieval of female exemplars?</article-title> <source>Collabra. Psychology</source>, <volume>8</volume>(<issue>1</issue>), <elocation-id>32964</elocation-id>. <pub-id pub-id-type="doi">10.1525/collabra.32964</pub-id></mixed-citation></ref>
<ref id="r28"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Keuleers</surname>, <given-names>E.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Brysbaert</surname>, <given-names>M.</given-names></string-name></person-group> (<year>2010</year>). <article-title>Wuggy: A multilingual pseudoword generator.</article-title> <source>Behavior Research Methods</source>, <volume>42</volume>(<issue>3</issue>), <fpage>627</fpage>–<lpage>633</lpage>. <pub-id pub-id-type="doi">10.3758/BRM.42.3.627</pub-id><pub-id pub-id-type="pmid">20805584</pub-id></mixed-citation></ref>
<ref id="r29"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Körner</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Abraham</surname>, <given-names>B.</given-names></string-name>, <string-name name-style="western"><surname>Rummer</surname>, <given-names>R.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Strack</surname>, <given-names>F.</given-names></string-name></person-group> (<year>2022</year>). <article-title>Gender Representations Elicited by the Gender Star Form.</article-title> <source>Journal of Language and Social Psychology</source>, <volume>41</volume>(<issue>5</issue>), <fpage>553</fpage>-<lpage>571</lpage>. <pub-id pub-id-type="doi">10.1177/0261927X221080181</pub-id></mixed-citation></ref>
<ref id="r30"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Krome</surname>, <given-names>S.</given-names></string-name></person-group> (<year>2020</year>). <article-title>Zwischen gesellschaftlichem Diskurs und Rechtschreibnormierung: Geschlechtergerechte Schreibung als Herausforderung für gelungene Textrealisation.</article-title> <source>Der Sprachdienst</source>, <volume>64</volume>(<issue>1-2</issue>), <fpage>31</fpage>–<lpage>45</lpage>.</mixed-citation></ref>
<ref id="r31"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Lange</surname>, <given-names>K.</given-names></string-name>, <string-name name-style="western"><surname>Kühn</surname>, <given-names>S.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Filevich</surname>, <given-names>E.</given-names></string-name></person-group> (<year>2015</year>). <article-title>Correction: “Just Another Tool for Online Studies” (JATOS): An Easy Solution for Setup and Management of Web Servers Supporting Online Studies.</article-title> <source>PLoS One</source>, <volume>10</volume>(<issue>7</issue>), <elocation-id>e0134073</elocation-id>. <pub-id pub-id-type="doi">10.1371/journal.pone.0134073</pub-id><pub-id pub-id-type="pmid">26196149</pub-id></mixed-citation></ref>
<ref id="r32"><mixed-citation publication-type="book">Löhr, R. (2022). „Ich denke, es ist sehr wichtig, dass sich so viele Menschen wie möglich repräsentiert fühlen“: Gendergerechte Sprache aus der Sicht nicht-binärer Personen. In G. Diewald &amp; D. Nübling (Eds.), <italic>Linguistik - Impulse et Tendenzen: Band 95. Genus - Sexus - Gender</italic> (pp. 349–379). De Gruyter. <pub-id pub-id-type="doi">10.1515/9783110746396-012</pub-id></mixed-citation></ref>
	<ref id="r33"><mixed-citation publication-type="book">Meuleneers, P. (2024). On the 'invention' of the Gendersprache in German media discourse. In F. Pfalzgraf (Ed.), <italic>Language and social life: Vol. 31. Public attitudes towards gender-inclusive language. A multilingual perspective</italic> (pp. 159–182). De Gruyter Mouton.</mixed-citation></ref>
<ref id="r34"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Misersky</surname>, <given-names>J.</given-names></string-name>, <string-name name-style="western"><surname>Gygax</surname>, <given-names>P. M.</given-names></string-name>, <string-name name-style="western"><surname>Canal</surname>, <given-names>P.</given-names></string-name>, <string-name name-style="western"><surname>Gabriel</surname>, <given-names>U.</given-names></string-name>, <string-name name-style="western"><surname>Garnham</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Braun</surname>, <given-names>F.</given-names></string-name>, <string-name name-style="western"><surname>Chiarini</surname>, <given-names>T.</given-names></string-name>, <string-name name-style="western"><surname>Englund</surname>, <given-names>K.</given-names></string-name>, <string-name name-style="western"><surname>Hanulikova</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Ottl</surname>, <given-names>A.</given-names></string-name>, <string-name name-style="western"><surname>Valdrova</surname>, <given-names>J.</given-names></string-name>, <string-name name-style="western"><surname>Von Stockhausen</surname>, <given-names>L.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Sczesny</surname>, <given-names>S.</given-names></string-name></person-group> (<year>2014</year>). <article-title>Norms on the gender perception of role nouns in Czech, English, French, German, Italian, Norwegian, and Slovak.</article-title> <source>Behavior Research Methods</source>, <volume>46</volume>(<issue>3</issue>), <fpage>841</fpage>–<lpage>871</lpage>. <pub-id pub-id-type="doi">10.3758/s13428-013-0409-z</pub-id><pub-id pub-id-type="pmid">24163213</pub-id></mixed-citation></ref>
<ref id="r35"><mixed-citation publication-type="book">Perfetti, C., Landi, N., &amp; Oakhill, J. (2005). Chapter 13. The acquisition of reading comprehension skill. In M. J. Snowling &amp; C. Hulme (Eds.), <italic>The science of reading: A handbook</italic> (pp. 227–247). Blackwell Publishing. <pub-id pub-id-type="doi">10.1002/9780470757642.ch13</pub-id></mixed-citation></ref>
<ref id="r36"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Pöschko</surname>, <given-names>H.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Prieler</surname>, <given-names>V.</given-names></string-name></person-group> (<year>2018</year>). <article-title>Zur Verständlichkeit und Lesbarkeit von geschlechtergerecht formulierten Schulbuchtexten.</article-title> <source>Zeitschrift Für Bildungsforschung</source>, <volume>8</volume>(<issue>1</issue>), <fpage>5</fpage>–<lpage>18</lpage>. <pub-id pub-id-type="doi">10.1007/s35834-017-0195-2</pub-id></mixed-citation></ref>
<ref id="r37"><mixed-citation publication-type="web">Posit Team. (2023). <italic>RStudio: Integrated development environment for R</italic> [Computer software]. PBC. <ext-link ext-link-type="uri" xlink:href="http://www.posit.co/">http://www.posit.co/</ext-link></mixed-citation></ref>
<ref id="r38"><mixed-citation publication-type="book">Pusch, L. F. (1984). <italic>Das Deutsche als Männersprache</italic>. Suhrkamp Verlag.</mixed-citation></ref>
<ref id="r39"><mixed-citation publication-type="book">Rastle, K. (2016). Visual word recognition. In G. Hickok &amp; S. L. Small (Eds.), <italic>Neurobiology of language</italic> (pp. 255–264). Academic Press/Elsevier.</mixed-citation></ref>
<ref id="r40"><mixed-citation publication-type="web">Rat für deutsche Rechtschreibung. (2021). <italic>Geschlechtergerechte Schreibung: Empfehlungen vom 26.03.2021</italic><italic>.</italic> <ext-link ext-link-type="uri" xlink:href="https://www.rechtschreibrat.com/DOX/rfdr_PM_2021-03-26_Geschlechtergerechte_Schreibung.pdf">https://www.rechtschreibrat.com/DOX/rfdr_PM_2021-03-26_Geschlechtergerechte_Schreibung.pdf</ext-link></mixed-citation></ref>
<ref id="r41"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Renström</surname>, <given-names>E. A.</given-names></string-name>, <string-name name-style="western"><surname>Lindqvist</surname>, <given-names>A.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Sendén</surname>, <given-names>M. G.</given-names></string-name></person-group> (<year>2022</year>). <article-title>The multiple meanings of the gender‐inclusive pronoun hen: Predicting attitudes and use.</article-title> <source>European Journal of Social Psychology</source>, <volume>52</volume>(<issue>1</issue>), <fpage>71</fpage>–<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1002/ejsp.2816</pub-id></mixed-citation></ref>
<ref id="r42"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Sato</surname>, <given-names>S.</given-names></string-name>, <string-name name-style="western"><surname>Gygax</surname>, <given-names>P. M.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Gabriel</surname>, <given-names>U.</given-names></string-name></person-group> (<year>2016</year>). <article-title>Gauging the impact of gender grammaticization in different languages: application of a linguistic-visual paradigm.</article-title> <source>Frontiers in Psychology</source>, <volume>7</volume>, <elocation-id>140</elocation-id>. <pub-id pub-id-type="doi">10.3389/fpsyg.2016.00140</pub-id><pub-id pub-id-type="pmid">26941663</pub-id></mixed-citation></ref>
<ref id="r43"><mixed-citation publication-type="book">Schneider, J. G. (2022). Gendern in institutionellen Leitfäden. Im Spannungsfeld von Indexikalität und grammatischen Erfordernissen. In M. Hennig &amp; R. Niemann (Eds.), <italic>Ratgeben in der spätmodernen Gesellschaft. Ansätze einer linguistischen Ratgeberforschung</italic> (pp. 233–261). Stauffenburg.</mixed-citation></ref>
<ref id="r44"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Schnoebelen</surname>, <given-names>T.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Kuperman</surname>, <given-names>V.</given-names></string-name></person-group> (<year>2010</year>). <article-title>Using Amazon Mechanical Turk for linguistic research.</article-title> <source>Psihologija</source>, <volume>43</volume>(<issue>4</issue>), <fpage>441</fpage>–<lpage>464</lpage>. <pub-id pub-id-type="doi">10.2298/PSI1004441S</pub-id></mixed-citation></ref>
<ref id="r45"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Stahlberg</surname>, <given-names>D.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Sczesny</surname>, <given-names>S.</given-names></string-name></person-group> (<year>2001</year>). <article-title>Effekte des generischen Maskulinums und alternativer Sprachformen auf den gedanklichen Einbezug von Frauen.</article-title> <source>Psychologische Rundschau</source>, <volume>52</volume>(<issue>3</issue>), <fpage>131</fpage>–<lpage>140</lpage>. <pub-id pub-id-type="doi">10.1026//0033-3042.52.3.131</pub-id></mixed-citation></ref>
<ref id="r46"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Steiger-Loerbroks</surname>, <given-names>V.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Von Stockhausen</surname>, <given-names>L.</given-names></string-name></person-group> (<year>2014</year>). <article-title>Mental representations of gender-fair nouns in German legal language: An eye-movement and questionnaire-based study.</article-title> <source>Linguistische Berichte</source>, <volume>237</volume>, <fpage>57</fpage>–<lpage>80</lpage>. <pub-id pub-id-type="doi">10.46771/2366077500237_4</pub-id></mixed-citation></ref>
<ref id="r47"><mixed-citation publication-type="book">van Dijk, T. A., &amp; Kintsch, W. (1983). <italic>Strategies of discourse comprehension</italic>. Academic Press.</mixed-citation></ref>
<ref id="r48"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Vervecken</surname>, <given-names>D.</given-names></string-name>, <string-name name-style="western"><surname>Hannover</surname>, <given-names>B.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Wolter</surname>, <given-names>I.</given-names></string-name></person-group> (<year>2013</year>). <article-title>Changing (S)expectations: How gender fair job descriptions impact children’s perceptions and interest regarding traditionally male occupations.</article-title> <source>Journal of Vocational Behavior</source>, <volume>82</volume>(<issue>3</issue>), <fpage>208</fpage>–<lpage>220</lpage>. <pub-id pub-id-type="doi">10.1016/j.jvb.2013.01.008</pub-id></mixed-citation></ref>
<ref id="r49"><mixed-citation publication-type="web">Welt am Sonntag. (2020). <italic>Bundesweite infratest dimap Umfrage: Vorbehalte gegenüber genderneutraler Sprache</italic>. <ext-link ext-link-type="uri" xlink:href="https://www.infratest-dimap.de/umfragen-analysen/bundesweit/umfragen/aktuell/vorbehalte-gegenueber-genderneutraler-sprache/">https://www.infratest-dimap.de/umfragen-analysen/bundesweit/umfragen/aktuell/vorbehalte-gegenueber-genderneutraler-sprache/</ext-link></mixed-citation></ref>
	<ref id="r50"><mixed-citation publication-type="book">Zacharski, L. (2024). Using pair forms, criticizing the gender star—Attitudes towards binary and non-binary gender-inclusive language in German. In F. Pfalzgraf (Ed.), <italic>Language and social life: Vol. 31. Public attitudes towards gender-inclusive language. A multilingual perspective</italic> (pp. 209–242). De Gruyter Mouton.</mixed-citation></ref>
<ref id="r51"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Zacharski</surname>, <given-names>L.</given-names></string-name>, &amp; <string-name name-style="western"><surname>Ferstl</surname>, <given-names>E. C.</given-names></string-name></person-group> (<year>2023</year>). <article-title>Gendered representations of person referents activated by the nonbinary gender star in German: A word-picture matching task.</article-title> <source>Discourse Processes</source>, <volume>60</volume>(<issue>4-5</issue>), <fpage>294</fpage>–<lpage>319</lpage>. <pub-id pub-id-type="doi">10.1080/0163853X.2023.2199531</pub-id></mixed-citation></ref>
<ref id="r52"><mixed-citation publication-type="data">Zehr, J., &amp; Schwarz, F. (2022). <italic>PennController for internet based experiments (IBEX)</italic><italic>.</italic> Advance online publication. <pub-id pub-id-type="doi">10.17605/OSF.IO/MD832</pub-id></mixed-citation></ref>
</ref-list>
	<sec sec-type="data-availability" id="das"><title>Data Availability</title>
		<p>For this article, data, a codebook, and the code used for data analysis are available (see <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>
	</sec>	

	
	
	
	<sec sec-type="supplementary-material" id="sp1"><title>Supplementary Materials</title>
		<p>Stimulus materials, raw data, a codebook, and the code used for data analysis are available on figshare (see <xref ref-type="bibr" rid="sp1_r1">Zacharski, 2024S</xref>).</p>
		<ref-list content-type="supplementary-material" id="suppl-ref-list">
			<ref id="sp1_r1">
				<mixed-citation publication-type="supplementary-material">
					<person-group person-group-type="author">
							<name name-style="western">
								<surname>Zacharski</surname>
								<given-names>L.</given-names>
							</name>
					</person-group> (<year>2024S</year>). <source>Supplementary materials to "The readability of the non-binary gender star in German: Evidence from a lexical decision task"</source> <comment>[Materials, data, codebook, code]</comment>. <publisher-name>figshare</publisher-name>. <pub-id pub-id-type="doi" xlink:href="https://doi.org/10.6084/m9.figshare.24995900">10.6084/m9.figshare.24995900</pub-id>		
				</mixed-citation>
			</ref>
		</ref-list>
	</sec>
			

<fn-group>
<fn fn-type="conflict"><p>The authors have declared that no competing interests exist.</p></fn>
</fn-group>
</back>
</article>
