Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation

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Title: Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation
Language: English
Authors: Esther Kaufmann (ORCID 0000-0003-1177-5146)
Source: SAGE Open. 2025 15(3).
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Secondary Education
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Attitude Change, Adoption (Ideas), Teacher Response, Media Adaptation, Validity, Reliability, World Views, Perspective Taking
Geographic Terms: Germany, United States
DOI: 10.1177/21582440251358999
ISSN: 2158-2440
Abstract: Teachers continuously make numerous judgments and engage with various educational stakeholders, whose perspectives are eventually integrated into their judgments. Given the differing viewpoints of these stakeholders, one may ask how receptive teachers are to diverse perspectives. In the present study, a German adaption of the Minson's Receptiveness to Opposing Views scale for German-speaking teachers and non-teachers was introduced as the first German instrument for cross-cultural comparisons. To evaluate the scale, a cross-cultural comparison was conducted (358 US and German teachers). After the validity and reliability of the German version of the Receptiveness to Opposing Views scale were confirmed, English- and German-speaking teachers significant differences between their overall scale results and their results for the subscales of Intellectual Curiosity, Derogation of Opponents, and Taboo Issues were found. A research agenda and its implications for practice, teacher development, and education is presented.
Abstractor: As Provided
Notes: https://osf.io/26pfr/?view_only=97ab45a3c1be44058a88b3509b5d01e1
Entry Date: 2025
Accession Number: EJ1486872
Database: ERIC
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  Value: <anid>AN0188423771;[kbz6]01jul.25;2025Oct07.03:06;v2.2.500</anid> <title id="AN0188423771-1">Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation </title> <p>Teachers continuously make numerous judgments and engage with various educational stakeholders, whose perspectives are eventually integrated into their judgments. Given the differing viewpoints of these stakeholders, one may ask how receptive teachers are to diverse perspectives. In the present study, a German adaption of the Minson's Receptiveness to Opposing Views scale for German-speaking teachers and non-teachers was introduced as the first German instrument for cross-cultural comparisons. To evaluate the scale, a cross-cultural comparison was conducted (358 US and German teachers). After the validity and reliability of the German version of the Receptiveness to Opposing Views scale were confirmed, English- and German-speaking teachers significant differences between their overall scale results and their results for the subscales of Intellectual Curiosity, Derogation of Opponents, and Taboo Issues were found. A research agenda and its implications for practice, teacher development, and education is presented.</p> <p>Plain Language Summary: Showing how to get information about teachers' openness to different perspectives This present study examines how receptive teachers are to different perspectives by adapting the Receptiveness to Opposing Views scale for German-speaking teachers for a cross-cultural comparison. The adapted-scale results of samples of German-speaking teachers and non-teachers were compared to the original-scale results of a sample of US teachers to assess the adapted scale's reliability. The findings confirm the validity of the adapted scale. Through a cross-cultural comparison, notable differences between English- and German-speaking teachers in areas such as intellectual curiosity, attitudes toward opposing views, and sensitivity to taboo topics were revealed. This article concludes with recommendations for future research and discusses how the study's findings can inform teacher development and educational practices.</p> <p>Keywords: teacher development; judgment; decision-making; receptiveness to opposing views</p> <hd id="AN0188423771-2">Introduction</hd> <p>Teachers make many judgments during their work days, not only in emerging crisis, such as the COVID-19 pandemic ([<reflink idref="bib43" id="ref1">43</reflink>]). For example, teachers assess students' competence and motivation and adapt their teaching to improve student learning. They also determine whether any learning progress has been achieved by the changes made in the classroom. To improve teachers' judgments, the help from and collaboration with different stakeholders in education systems are needed ([<reflink idref="bib28" id="ref2">28</reflink>]; [<reflink idref="bib34" id="ref3">34</reflink>]; [<reflink idref="bib38" id="ref4">38</reflink>]; [<reflink idref="bib61" id="ref5">61</reflink>]; [<reflink idref="bib71" id="ref6">71</reflink>]). Thus, contemporary schools are striving to become learning organizations ([<reflink idref="bib59" id="ref7">59</reflink>]) that emphasize the critical role of collaboration in fostering school development ([<reflink idref="bib57" id="ref8">57</reflink>]), with an overreaching goal of improving student learning.</p> <p>Needless to say, teachers' collaboration has the potential to influence the accuracy of teachers' judgments and students' achievement ([<reflink idref="bib56" id="ref9">56</reflink>]). However, judgments are often biased ([<reflink idref="bib67" id="ref10">67</reflink>]), as are teachers ([<reflink idref="bib6" id="ref11">6</reflink>]; [<reflink idref="bib12" id="ref12">12</reflink>]; [<reflink idref="bib13" id="ref13">13</reflink>]; [<reflink idref="bib15" id="ref14">15</reflink>]; [<reflink idref="bib16" id="ref15">16</reflink>]; [<reflink idref="bib17" id="ref16">17</reflink>]; [<reflink idref="bib18" id="ref17">18</reflink>]; [<reflink idref="bib65" id="ref18">65</reflink>]; [<reflink idref="bib74" id="ref19">74</reflink>]). Inaccurate judgments warrant attention because they can contribute to social inequality among students. Therefore, judgment and decision-making are essential professional core competencies for teachers and foundational teaching skills ([<reflink idref="bib61" id="ref20">61</reflink>]). Thus, they are integral components of teacher education programs, such as in Germany (KMK [Sekretariat der Staändigen Konferenz der Kultusminister der Laänder in der Bundesrepublik Deutschland], [<reflink idref="bib60" id="ref21">60</reflink>]).</p> <p>Due to its importance, several reviews have summarized teachers' judgment accuracy in various aspects, such as academic achievement ([<reflink idref="bib28" id="ref22">28</reflink>], [<reflink idref="bib27" id="ref23">27</reflink>]; [<reflink idref="bib62" id="ref24">62</reflink>]), cognitive abilities ([<reflink idref="bib45" id="ref25">45</reflink>]), and creativity ([<reflink idref="bib19" id="ref26">19</reflink>]) or intelligence ([<reflink idref="bib2" id="ref27">2</reflink>]). There are also reviews that compare these different meta-analyses ([<reflink idref="bib68" id="ref28">68</reflink>]). The different overviews show that there is still room to improve teachers' judgment accuracy.</p> <p>In general, there are many other factors that influence teachers' judgments. The lens model framework ([<reflink idref="bib10" id="ref29">10</reflink>]; [<reflink idref="bib27" id="ref30">27</reflink>]) summarizes the factors influencing judgment. Based on the lens model framework, the following determinants of teachers' judgments were identified: teachers and their characteristics (e.g., teaching experience and age), the information available to teachers based on which they can make judgments, such as students' performance and characteristics (e.g., gender and socioeconomic status), and the evaluation criteria used to assess the accuracy of teachers' judgments (e.g., teste and opinion of another teacher).</p> <p>However, in a broader sense, teachers' judgments are also influenced by cultural factors. For example, [<reflink idref="bib72" id="ref31">72</reflink>] revealed cross-cultural variations in judgment accuracy. There are also cultural differences in learning and teaching ([<reflink idref="bib23" id="ref32">23</reflink>]) because teachers and students are embedded within different school systems (see [<reflink idref="bib14" id="ref33">14</reflink>], for a classification of different school systems or [<reflink idref="bib66" id="ref34">66</reflink>]).</p> <hd id="AN0188423771-3">Collaboration to Reduce and Reveal Potential Bias</hd> <p>To enhance the accuracy of teachers' and other experts' judgments and to mitigate potential biases, they must scrutinize their judgments and perspectives to identify any inherent biases. Collaboration with other professionals, such as school psychologists, can assist teachers in reducing bias in their judgments. For example, school psychologists demonstrate less bias than teachers regarding students' migrant backgrounds, as they tend to approach assessments in a more culturally neutral manner ([<reflink idref="bib40" id="ref35">40</reflink>]). Therefore, being open to opposing views is essential for teachers to assess their judgments effectively and potentially mitigate bias. According to [<reflink idref="bib50" id="ref36">50</reflink>], biases occur at three major stages of information processing: (a) information seeking, (b) information attention, and (c) information evaluation, which co-vary as a function of an individual's level of receptiveness ([<reflink idref="bib49" id="ref37">49</reflink>]). They define receptiveness to opposing views as a willingness to access, consider, and evaluate opposing views in an impartial manner and consider these three main information processing stages in this definition. Higher receptiveness to opposing views means less biased information processing, or many cognitive biases stem from a common source: lack of receptiveness ([<reflink idref="bib49" id="ref38">49</reflink>]). The goal of receptiveness is not to change minds but to check the information process.</p> <p>Although accepting another point of view is required to productively collaborate and free the information process from bias, it is currently unknown whether teachers' acceptance of opposing views is given and whether teachers who need to collaborate in their daily business are more prone to greater acceptance of opposing views than non-teachers. As we outlined, a cross-cultural comparison is needed to reveal teachers' receptiveness to opposing views due to the factors influencing teachers' judgments. An instrument measuring the acceptance of opposing views has already been successfully developed and evaluated for English-speaking countries, but there is currently no similar instrument for German-speaking countries (e.g., Germany, Switzerland, Austria, Luxembourg and Liechtenstein). Such an instrument is needed for a cross-cultural comparison. In the present study, we translated and evaluated the original English instrument of measuring the acceptance of opposing views developed by [<reflink idref="bib50" id="ref39">50</reflink>] and adapted it to German-speaking countries. We used a teacher sample to evaluate the adapted instrument, providing an evaluated tool for research projects within education science addressing the need to measure teachers' acceptance of opposing views. To check the validity of the scale, different comparisons were made, beginning with comparison of teachers from different countries. A teacher sample from the United States was used to make it comparable with the US sample used by [<reflink idref="bib50" id="ref40">50</reflink>] to develop the scale and provide information.</p> <p>First, the evaluation determined whether the Receptiveness to Opposing Views scale also works with a specific group of teachers.</p> <p>Second, a comparison was made between the US teacher sample and the German-speaking teachers to determine whether scale applied to the latter.</p> <p>Finally, a German-speaking non-teacher sample was also considered to reveal any differences between teachers and non-teachers in terms of receptiveness to opposing views.</p> <p>Overall, the German-speaking teachers' opposing views scale adaption was compared with that of the US teacher sample or the German non-teacher sample to examine the specificity of either speaking in German or being part of a teacher sample as a cross-cultural comparison.</p> <p>In sum, the overall goal of the present study was to provide a reliable and valid adaption of the original Receptiveness to Opposing Views scale developed by [<reflink idref="bib50" id="ref41">50</reflink>] for German-speaking teachers. The study was also a first step toward the application of the Receptiveness of Opposing Views instrument to a German-speaking non-teacher sample in future research because it also verified the validity of the adapted instrument with a non-teacher sample.</p> <hd id="AN0188423771-4">Test Instrument</hd> <p>The self-reporting scale for accepting opposing views consists of a set of 18 items developed by [<reflink idref="bib50" id="ref42">50</reflink>] (Figure 1 in the Supplemental Appendix). Readers interested in the development of the scale may refer to [<reflink idref="bib50" id="ref43">50</reflink>]. In this article, we highlight our adaption of the scale to the German context. In the German version of the original scale also consisted of 18 items. These 18 items were statements that participants needed to evaluate on a seven-point Likert scale, ranging from <emph>Strongly Disagree</emph> (<reflink idref="bib1" id="ref44">1</reflink>) to <emph>Strongly Agree</emph> (<reflink idref="bib7" id="ref45">7</reflink>). Six of the items were reverse coded. Moreover, the 18 items are categorized into four factors: (a) Negative Emotions (four items), (b) Intellectual Curiosity (five items), (c) Derogation of Opponents (five items), and (d) Taboo Issues (four items). Negative Emotions tap emotional reactions to incongruent views (e.g., anger, frustration, and disgust). Intellectual Curiosity reflects the desire for greater insight into and information about others' beliefs. Derogation of opponents considers the negative beliefs of holders of opposing views (e.g., their intelligence and motives). Taboo Issues capture the belief that some topics are off limits and not subject to debate.</p> <hd id="AN0188423771-5">Validity and Reliability Evaluation</hd> <p>The Receptiveness to Opposing Views scale has a high overall scale reliability value (α =.87). Each of the four factors is represented by high reliability values (Negative Emotions: α =.86; Intellectual Curiosity α =.85; Derogation of Opponents: α =.80; Taboo issues: α =.78; see Study 1) ([<reflink idref="bib50" id="ref46">50</reflink>]). Prior research has demonstrated the internal, convergent, and discriminant validities of the scale and its predictive validity for the US population ([<reflink idref="bib50" id="ref47">50</reflink>]). For example, the application of the scale shows that more receptive individuals were more willing to consume information from US senators representing the opposing party, exhibited less mind wandering when viewing a speaker with which they disagreed, or evaluated supporting and opposing policy arguments more impartially. In addition, more receptive liberal voters were more likely to watch President Trump's first inaugural address, evaluate the address in a more balanced manner, and consider a more heterogeneous selection of relevant news coverage ([<reflink idref="bib50" id="ref48">50</reflink>]). Therefore, the scale predicts behavior in both the lab and the field.</p> <p>Currently, the scale is applied to English-speaking participants. Therefore, in the following, the original scale to German-speaking participants to obtain a suitable scale for research projects in German-speaking countries is adapted and lays the ground work for any cross-country comparison.</p> <hd id="AN0188423771-6">Purpose of the Study</hd> <p>To reveal German-speaking teachers' receptiveness to opposing views, the original instrument developed for US samples was adapted to German samples and validated in the present study. Below are the overall objectives of the present study.</p> <p></p> <ulist> <item> (<reflink idref="bib1" id="ref49">1</reflink>) To investigate the back-to-back translation of the original Receptiveness to Opposing View instrument into German to have an available resource for researchers and for the research community measuring receptiveness to opposing views for international comparison;</item> <p></p> <item> (<reflink idref="bib2" id="ref50">2</reflink>) To evaluate the validity and reliability of the adapted instrument using a large German-speaking sample and a test in German;</item> <p></p> <item> (<reflink idref="bib3" id="ref51">3</reflink>) To compare the German version of the Receptiveness to Opposing Views instrument with similar constructs to establish convergent validity.</item> </ulist> <p>After evaluating the adapted instrument, we compared different countries, regions (the United States vs. Germany), and professions (teachers vs. non-teachers) to reveal country-specific teachers' receptiveness to opposing views were compared.</p> <p>Due to the differences between the US and German teacher education systems ([<reflink idref="bib24" id="ref52">24</reflink>]), we expect German teachers to have higher values on the teachers' Receptiveness to Opposing Views scale than their US counterparts and German students. There are no expectations of whether US teachers show higher values than German students on the teachers' Receptiveness to Opposing Views scale.</p> <hd id="AN0188423771-7">Methods</hd> <p></p> <hd id="AN0188423771-8">Sample</hd> <p>For the instrument evaluation in the present study, we considered four different samples. Overall, there were participants with different professions other than teaching, and the participants were working in different countries. To evaluate the profession and country-independency of the instrument, these two different types of samples—whether the participants were teachers (profession: teachers vs. students) and whether they were located in the United States (country: the United States vs. Germany)—were compared with each other.</p> <p>All data for our study are available at the Open Science Framework (OSF): https://osf.io/26pfr/?view_only=97ab45a3c1be44058a88b3509b5d01e1</p> <hd id="AN0188423771-9">Teachers: US and German</hd> <p>Our teacher data collection procedure was associated with a comprehensive research project (for details, see [<reflink idref="bib29" id="ref53">29</reflink>]; [<reflink idref="bib30" id="ref54">30</reflink>]).</p> <p>Our sample consisted of an international teacher sample considering teachers from the United States and from Germany.[<reflink idref="bib7" id="ref55">7</reflink>] First, we compared our sample of 88 US teachers to check if the instrument also applies to teachers because the original instrument was not developed explicitly for teachers. When then checked the instrument using the German teacher sample, consisted of teachers and teacher students (preservice-teachers). Table 1 presents the teacher sample characteristics. Aside from the place where they teach, they were also asked about their teaching level and gender. For the US teachers, a mixed sample of middle and high school teachers were available, with the high school teachers being higher in number. Aside from the US teacher sample, also two German samples were considered. Unfortunately, only in one teacher sample consisting of 163 teachers, teachers' characteristic information is available. Across countries, we had a bi-national teacher sample of 358 teachers in total.</p> <p>Table 1. Teachers' Characteristics of the Three Different Teacher Samples.</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left" colspan="2">Country</th><th align="center" colspan="3">Teaching level</th><th align="center" colspan="2">Gender</th></tr><tr><th align="left">US</th><th align="center">Germany</th><th align="center">Middle</th><th align="center">High</th><th align="center">Both</th><th align="center">Female</th><th align="center">Male</th></tr></thead><tbody><tr><td>88</td><td /><td>30</td><td>56</td><td>2</td><td>70</td><td>18</td></tr><tr><td /><td>107</td><td align="center">—</td><td align="center">—</td><td align="center">—</td><td align="center">—</td><td align="center">—</td></tr><tr><td /><td>163</td><td>39</td><td>97</td><td>27</td><td>72</td><td>91</td></tr><tr><td>88</td><td>270</td><td>69</td><td>153</td><td>29</td><td>142</td><td>109</td></tr></tbody></table> </ephtml> </p> <p>For our subsequent analysis and determination of the sample size, we focused on [<reflink idref="bib50" id="ref56">50</reflink>]. Hence, the overall sample of 270 German teachers was comparable to the sample size used by [<reflink idref="bib50" id="ref57">50</reflink>] in their evaluation of the scale development (see [<reflink idref="bib50" id="ref58">50</reflink>], sample size in study 1a and 1b, considering 202 and 205 participants, respectively), demonstrating that the scale possessed an appropriate level of internal, convergent, and discriminant validity for the US sample. Thus, in the following section, the two German teacher samples are collapsed and reported together.</p> <hd id="AN0188423771-10">Non-teachers</hd> <p>In addition to the teacher samples, there was also a sample also consisting of 160 German non-teachers. The data for the German-speaking non-teacher sample were collected from students from the University of Konstanz, in Germany, who were recruited using a university-specific tool.</p> <p>After the dataset preparation, three students were excluded because they answered the seriousness check ([<reflink idref="bib1" id="ref59">1</reflink>]; [<reflink idref="bib53" id="ref60">53</reflink>], [<reflink idref="bib54" id="ref61">54</reflink>]) negatively (see the next section), resulting in 157 student data. In this sample, information on age (<emph>m</emph> = 22 years) and gender (84% women) was available.</p> <hd id="AN0188423771-11">Adapted Instrument</hd> <p>For our German samples, the original instrument of Receptiveness to Opposing Views is adapted, hence, all 18 items were translated to German, and checked by experts. The original instrument of Receptiveness to Opposing views were adapted to an online version, considering the standards for online measures ([<reflink idref="bib5" id="ref62">5</reflink>]; [<reflink idref="bib53" id="ref63">53</reflink>], [<reflink idref="bib54" id="ref64">54</reflink>]). For example, the high-hurdle technique is applied, which aims to exclude less motivated participants through a higher respondent burden (e.g., longer loading time on the first page of a study). As the data collection procedure was embedded in additional research projects, less motivated participants could leave the survey before answering the questions about receptiveness to opposing views. Thus, the previous questions also served as hurdles to the Receptiveness to Opposing Views instrument.</p> <p>In addition, a seriousness check was considered in the student survey sample ([<reflink idref="bib1" id="ref65">1</reflink>]; [<reflink idref="bib53" id="ref66">53</reflink>], [<reflink idref="bib54" id="ref67">54</reflink>]). The original answer format option on a seven-point Likert scale were maintained. The adapted online version is presented in Figure 2 in the Appendix.</p> <hd id="AN0188423771-12">Analysis Strategy</hd> <p></p> <hd id="AN0188423771-13">Scale Evaluation</hd> <p>For the analyses, we used [<reflink idref="bib51" id="ref68">51</reflink>] and [<reflink idref="bib35" id="ref69">35</reflink>] software. Before conducting any analyses, we checked the data based on descriptive statistics, and we determined whether there was a systematic dropout in specified items revealing by missing values (see [<reflink idref="bib7" id="ref70">7</reflink>]). The items were then scored according to [<reflink idref="bib50" id="ref71">50</reflink>]: items 6 to 18 were reverse coded and then averaged to calculate the total receptiveness score. The factors were coded according to [<reflink idref="bib50" id="ref72">50</reflink>] as follows:</p> <p></p> <ulist> <item> Factor 1 (Negative Emotions [NE]) comprises items 15–18 (R15_r, R16_r, R17_r, and R18_r).</item> <p></p> <item> Factor 2 (Intellectual Curiosity [IC]) comprises items 1–5 (R1, R2, R3, R4, and R5).</item> <p></p> <item> Factor 3 (Derogation of Opponents [DO]) comprises items 6, 7, 8, 13, and 14.</item> <p></p> <item> Factor 4 (Taboo Issues [TI]) comprises items 9–12.</item> </ulist> <p>The key features of the items and the scale depending on the sample (US vs. German, teachers vs. non-teachers) and country were described. The evaluation criterion of Cronbach's alpha greater than.7 ([<reflink idref="bib33" id="ref73">33</reflink>]) was used.</p> <p>To compare our scale evaluation results directly with the results of the original scale developed by [<reflink idref="bib50" id="ref74">50</reflink>], we followed their analysis strategy. Hence, in line with [<reflink idref="bib50" id="ref75">50</reflink>] an exploratory factor analysis with varimax rotation ([<reflink idref="bib25" id="ref76">25</reflink>]), assuming four factors, was used to check the construct validity of the scale and the four factors for each subsample. Chi-square (χ<sups>2</sups>) values, root mean square error of approximation (RMSEA), comparative fit index (CFI), and Tucker–Lewis Index (TLI) were applied to evaluate the model fit. CFI/TLI values of.90 or greater ([<reflink idref="bib4" id="ref77">4</reflink>]) and RMSEA values less than.08 ([<reflink idref="bib9" id="ref78">9</reflink>]; [<reflink idref="bib44" id="ref79">44</reflink>]) suggested a good model fit. Items with standardized factor loadings over.40 were considered meaningful loadings ([<reflink idref="bib64" id="ref80">64</reflink>]). To check the results, the analyses were repeated with an oblique rotation to allow factor correlation.</p> <p>To evaluate the construct validity, we used in line with [<reflink idref="bib50" id="ref81">50</reflink>], the BigFive Personality Test ([<reflink idref="bib52" id="ref82">52</reflink>], see also [<reflink idref="bib36" id="ref83">36</reflink>]; [<reflink idref="bib58" id="ref84">58</reflink>]).</p> <hd id="AN0188423771-14">Cross-Cultural Comparison</hd> <p>After the test evaluation, the newly developed instrument is used to evaluate whether German teachers reached the expected high values in the Receptiveness to Opposing Views instrument. Finally, group comparison analyses were performed to check for differences due to language (United States vs. German-speaking countries) or profession (teachers vs. non-teachers).</p> <hd id="AN0188423771-15">Results</hd> <p></p> <hd id="AN0188423771-16">Scale Evaluation</hd> <p></p> <hd id="AN0188423771-17">Descriptive Item Values</hd> <p>In this section, the item characteristics for each sample is reported separately before combining them. Table 1 in the Appendix shows the item-dependent descriptive characteristics separated by the samples. There is only a small portion of missing values, with two maximal values for all samples. We found no systematic drop-out by any items, revealing the participants' overall acceptance of the adapted scale. Although the missing values were negligible in the interpretation of the following results, we excluded them from the following analyses (e.g., excluded cases pairwise).</p> <p>Item 10 had the lowest mean item value (<emph>m</emph> = 3.03, student sample), and item 3 had the highest mean item value (<emph>m</emph> = 6.48, first German-speaking teacher sample) and the smallest SD (0.76). Item 12 had the highest SD (2.21, second German-speaking teacher sample). Because these extreme values of the scale were represented by the German-speaking samples, there seemed to be no country-specific differences at first glance.</p> <hd id="AN0188423771-18">Reliability and Validity of the Scale</hd> <p></p> <hd id="AN0188423771-19">Reliability</hd> <p>The overall reliability was quite high (α =.82), although it was slightly lower than that of the original scale (α =.87; Table 2).</p> <p>Table 2. Overall and Dimension-specific Reliability Values of Each and Across Samples.</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left">Sample</th><th /><th align="center">Overall</th><th align="center" colspan="4">Dimension-specific</th></tr><tr><th /><th /><th /><th align="center">NE</th><th align="center">IC</th><th align="center">DO</th><th align="center">TI</th></tr></thead><tbody><tr><td>Teacher</td><td>US</td><td>.83</td><td>.83</td><td>.87</td><td>.84</td><td>.64</td></tr><tr><td /><td>German</td><td>.81</td><td>.79</td><td>.76</td><td>.77</td><td>.67</td></tr><tr><td>Teacher</td><td>Overall</td><td>.82</td><td>.79</td><td>.80</td><td>.79</td><td>.70</td></tr><tr><td>Non-teachers</td><td /><td>.81</td><td>.81</td><td>.73</td><td>.77</td><td>.54</td></tr><tr><td>Overall</td><td>German</td><td>.82</td><td>.80</td><td>.76</td><td>.77</td><td>.67</td></tr><tr><td>Overall</td><td /><td>.83</td><td>.80</td><td>.78</td><td>.79</td><td>.67</td></tr><tr><td>Minson<xref ref-type="table-fn" rid="tfn2">a</xref></td><td /><td>.87</td><td>.86</td><td>.85</td><td>.80</td><td>.78</td></tr></tbody></table> </ephtml> </p> <p>1 <emph>Note.</emph> NE = Negative emotions; IC = Intellectual curiosity; DO = Derogation of opponents; TI = Taboo issues.</p> <p>2 [<reflink idref="bib50" id="ref85">50</reflink>], first study).</p> <p>The region-dependent reliability values were very close to each other (α =.83 for the US sample and α =.82 for all three German-speaking samples), assuming no region-dependent differences or teacher profession differences (.82 for teachers vs..81 for non-teachers).</p> <p>Although each of the four dimensions had slightly lower values than the original evaluation by [<reflink idref="bib50" id="ref86">50</reflink>], the overall tendency was similar as the Taboo Issue subscale had the lowest value among the four dimensions in each dataset. However, the reliability value of the Taboo Issue subscale was slightly below a satisfying value, mainly due to the US teacher sample (α =.64) and the German non-teacher sample (α =.54).</p> <hd id="AN0188423771-20">Construct Validity: Factor Analysis</hd> <p>The Bartlett test ([<reflink idref="bib3" id="ref87">3</reflink>]) showed that the data were suitable for factor analyses (<emph>X</emph><sups>2</sups>(<reflink idref="bib153" id="ref88">153</reflink>, _I_N_i_ = 515) = 2861, <emph>p</emph> <.001) because the correlation matrix was not random. The Kaiser–Meyer–Olkin statistic ([<reflink idref="bib26" id="ref89">26</reflink>]) was.80, well above the minimum standard for conducting factor analysis. Thus, the correlation matrix was appropriate for factor analysis. As suggested by [<reflink idref="bib50" id="ref90">50</reflink>], the four-factor solution was examined for adequacy using exploratory factor analysis and then confirmed (Supplemental Appendix Table 2a and Figure 3).</p> <p>The four factors explained 45.7% of the variance: 23.1% for Derogation of Opponents, 10.7% for Intellectual Curiosity, 6.7% for Negative Emotions, and 5.3% for Taboo Issue. The analysis confirmed [<reflink idref="bib50" id="ref91">50</reflink>] finding of keeping the Taboo Issue factor even if its Eigenvalue was below 1 (0.95). Our analyses show an RMSEA statistic of 0.05 and a TLI of 0.94, indicating a good model fit and confirming [<reflink idref="bib50" id="ref92">50</reflink>] results. The same analysis was rerun for each subsample, and it mostly confirmed our results (Table 2b–g in the Supplemental Appendix), except for the two teacher samples. A three-factor structure with an oblique rotation was conducted (Table 2b, c, g in the Supplemental Appendix). For the US teacher sample, Derogation of Opponents and Taboo Issues were combined into a single factor (Table 2b, g in the Supplemental Appendix). In the first German-speaking teacher sample, Negative Emotions and Derogation of Opponents were recommended to be combined into one factor using oblique rotation (Table 2c, g in the Supplemental Appendix). Given that oblique rotation suggested a three-factor structure for both samples, Derogation of Opponents was not confirmed. Hence, this factor seems to be the most critical, especially in the teacher sample.</p> <hd id="AN0188423771-21">Construct Validity: Big Five</hd> <p>Due to missing data on the Big Five scale ([<reflink idref="bib52" id="ref93">52</reflink>]), our construct validity was limited to the subsample of US teachers and the second German-speaking teacher sample (Table 1). In these two subsamples, the correlation between the overall Receptiveness to Opposing Views scale and their subscales and the Big Five scale are compared. Thus, the construct validity was not yet given for the non-teacher German sample.</p> <p>As shown in Table 3, the overall scale is largely associated with extraversion and agreeableness but not with the other Big Five measures, such as conscientiousness, emotion reactivity, or openness. Thus, it seems that there is an overlap between the Big Five measures and Receptiveness to Opposing Views, but the latter is considered as a distinct construct ([<reflink idref="bib50" id="ref94">50</reflink>], Table 3).</p> <p>Table 3. Correlations Between Receptiveness to Opposing Views and the Big Five measures.</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left">Big Five</th><th align="center">NE</th><th align="center">IC</th><th align="center">DO</th><th align="center">TI</th><th align="center">Overall scale</th></tr></thead><tbody><tr><td>Extraversion</td><td>.15<xref ref-type="table-fn" rid="tfn3">*</xref> (.23)</td><td>.25<xref ref-type="table-fn" rid="tfn3">***</xref> (.09)</td><td>.23<xref ref-type="table-fn" rid="tfn3">***</xref> (.10)</td><td>.17<xref ref-type="table-fn" rid="tfn3">***</xref> (−.08)</td><td>.30<xref ref-type="table-fn" rid="tfn3">***</xref> (.12)</td></tr><tr><td>Agreeableness</td><td>.22<xref ref-type="table-fn" rid="tfn3">***</xref> (.28)</td><td>.17<xref ref-type="table-fn" rid="tfn3">**</xref> (.17)</td><td>.27<xref ref-type="table-fn" rid="tfn3">***</xref> (.24)</td><td>.08 (−.13)</td><td>.28<xref ref-type="table-fn" rid="tfn3">***</xref> (.19)</td></tr><tr><td>Conscientiousness</td><td>.19<xref ref-type="table-fn" rid="tfn3">**</xref> (.16)</td><td>.13<xref ref-type="table-fn" rid="tfn3">*</xref> (.13)</td><td>.02 (.08)</td><td>−.02 (−.11)</td><td>.10 (.09)</td></tr><tr><td>Emotion reactivity</td><td>−.22<xref ref-type="table-fn" rid="tfn3">***</xref> (−.34)</td><td>−.14<xref ref-type="table-fn" rid="tfn3">*</xref> (−.06)</td><td>.03 (−.10)</td><td>.04(−.03)</td><td>−.08 (−.19)</td></tr><tr><td>Openness to</td><td>−.03 (.01)</td><td>.14<xref ref-type="table-fn" rid="tfn3">*</xref> (.23)</td><td>.03 (−.23)</td><td>.04 (.09)</td><td>.07 (.03)</td></tr></tbody></table> </ephtml> </p> <ulist> <item>3 <emph>p</emph> <.05. **<emph>p</emph> <.01. ***<emph>p</emph> <.001.</item> <item>4 NE = Negative emotions; IC = Intellectual curiosity; DO = Derogation of opponents; TI = Taboo issues.</item> </ulist> <hd id="AN0188423771-22">Summary</hd> <p>Our comprehensive instrument evaluation shows that our adapted instrument for a German sample is reliable and valid for both a teacher and a non-teacher sample. Due to the validity and reliability of the adapted Receptiveness to Opposing Views instrument in the German sample and the teacher sample, the differences in the sample is checked in the following.</p> <hd id="AN0188423771-23">Cross-Cultural Comparison: Comparison of Teachers' Opposing Views</hd> <p>Table 4 presents the descriptive statistics of the Receptiveness to Opposing Views scale and its subscales for each sample. Figure 4 in the Supplemental Appendix illustrates a plotted visualization of the results, and Figure 5 in the Supplemental Appendix shows the results for each subscale. The intercorrelation of the four subscales is also checked, which were significantly correlated with each other (Figure 6 in the Supplemental Appendix).</p> <p>Table 4. Descriptive Values (m , SD) of the Receptiveness to Opposing Views Scale and Their Four Subscales.</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left">Sample</th><th /><th align="center">Overall</th><th align="center" colspan="4">Subscales</th></tr><tr><th /><th /><th /><th align="center">NE</th><th align="center">IC</th><th align="center">DO</th><th align="center">TI</th></tr></thead><tbody><tr><td>Teacher</td><td>US</td><td>4.50 (0.80)</td><td>4.05 (1.34)</td><td>5.70 (1.10)</td><td>4.14 (1.43)</td><td>3.85 (1.20)</td></tr><tr><td /><td>German</td><td>4.82 (0.81)</td><td>4.12 (1.4)</td><td>5.97 (0.85)</td><td>4.46 (1.23)</td><td>4.31(1.49)</td></tr><tr><td>Teacher</td><td>Overall</td><td>4.74 (0.82)</td><td>4.10 (1.36)</td><td>5.91 (0.92)</td><td>4.38 (1.27)</td><td>4.19 (1.43)</td></tr><tr><td>Non-teacher</td><td /><td>4.43 (0.75)</td><td>3.56 (1.26)</td><td>5.55 (0.86)</td><td>4.37 (1.13)</td><td>3.72 (1.18)</td></tr><tr><td>Overall</td><td>German</td><td>4.68 (0.81)</td><td>4.1 (1.36)</td><td>5.91 (0.93)</td><td>4.34 (1.23)</td><td>4.20 (1.43)</td></tr><tr><td>Overall</td><td /><td>4.65 (0.81)</td><td>3.94 (1.35)</td><td>5.8 (0.92)</td><td>4.38 (1.23)</td><td>4.05 (1.38)</td></tr></tbody></table> </ephtml> </p> <p>5 NE = Negative emotions; IC = Intellectual curiosity; DO = Derogation of opponents; TI = Taboo issues.</p> <p>To check for group differences, group comparison analyses on language (English vs. German) and the profession (teacher vs. non-teacher) factors were conducted. Our analyses of the different samples' Receptiveness to Opposing Views scale results showed significant group differences (<emph>F</emph>[<reflink idref="bib2" id="ref95">2</reflink>, 510] = 13.58, <emph>p</emph> <.001). In particular, the group difference analyses revealed that although the US teachers (<emph>m</emph> = 4.5, <emph>SD</emph> = 0.8) had lower values than the German teachers and non-teachers (<emph>m</emph> = 4.7, <emph>SD</emph> = 0.81), this difference was slightly not confirmed as a significant difference by group comparisons (<emph>t</emph>[<reflink idref="bib511" id="ref96">511</reflink>] = −1.81, <emph>p</emph> =.07), but the US teachers showed significantly lower values than the German teachers (<emph>m</emph> = 4.81; <emph>SD</emph> = 0.81, <emph>t</emph>[<reflink idref="bib356" id="ref97">356</reflink>] = -3.17, <emph>p</emph> =.05). This significant difference was confirmed by three of the four subscales (Intellectual Curiosity (IC) (<emph>t</emph>[<reflink idref="bib358" id="ref98">358</reflink>] = −2.49, <emph>p</emph> <.05), Derogation of Opponents (DO) (<emph>t</emph>[<reflink idref="bib356" id="ref99">356</reflink>] = −2.08, <emph>p</emph> <.05), and Taboo Issues (TI) (<emph>t</emph>[<reflink idref="bib356" id="ref100">356</reflink>] = −2.61, <emph>p</emph> <.001)). There were no differences between the US and German teachers in the Negative Emotions subscale (NE) (<emph>t</emph>[<reflink idref="bib357" id="ref101">357</reflink>] = −0.44, <emph>p</emph> <.66), implying that the emotional reaction to incongruent views was comparable between the US and German teachers (Figure 1).</p> <p>Graph: Figure 1. Comparison between the US- and German-speaking teacher samples in the Receptiveness to Opposing Views scale and its subscales.</p> <p>In sum, due to the cross-cultural differences, for example, in their education systems, is expected that the German teachers to show higher values on the teachers' Receptiveness to Opposing Views scale than their US counterparts and German students. Our analyses showed that the results were in accordance with our expectations. Therefore, it seems that the varying samples differ in terms of their value in the Receptiveness to Opposing Views scale and its subscales, except for the Negative Emotions subscale.</p> <hd id="AN0188423771-24">Discussion</hd> <p>Teachers' receptiveness to opposing views is required in teachers' daily tasks, such as students' evaluation, staff or parent meetings, and school development projects. Due to its daily relevance, we adapted and evaluated an instrument for future studies on teachers' receptiveness to opposing views using a German sample for cross-cultural comparison.</p> <p>Our study provides a reliable and valid instrument for measuring participants' opposing views. Our adapted instrument is ideal for future research, especially on school development projects. However, it needs to be mention that in two teacher samples, namely the US sample and the first German sample, the Derogation of Opponents factor was not completely confirmed. Thus, future studies should use it with caution and further explore this factor, especially in a teacher sample.</p> <p>After evaluating the psychometric properties of the adapted test instrument, we used the scale for a cross-cultural comparison. The results showed differences between teachers in the United States and German-speaking countries in the overall Openness to Opposing Views scale and its subscales, except the Negative Emotion subscale.</p> <p>These results are surprising. The Swiss education system has the unique learning goal of educating students to develop Swiss civic-economic competency—that is, to become citizens who can face current political and economic challenges as a society ([<reflink idref="bib24" id="ref102">24</reflink>]). This unique goal of the Swiss education system is linked to the right of each Swiss citizen to become a voting citizen at the age of 18 years, as being a citizen of a direct democracy, such as Switzerland, is known for being considerate about people's opinions. Thus, specifically in the Swiss teacher sample a higher value on the Receptiveness to Opposing Views scale because this was part of their education program is expected. Interestingly, there are significant differences between the samples, leading to the conclusion that teachers could be prone to being more open to opposing views than US teachers, as measured by our adapted instrument. Receptiveness to opposing views does not cover the complete construct of teachers' civic–economic competency ([<reflink idref="bib22" id="ref103">22</reflink>]). Thus, future studies should evaluate teachers' economic-civic competency, consider the adapted instrument, and use multiple measures. Moreover, as the German teacher sample consisted only of Swiss teachers, future studies should also compare teachers from Germany and Austria who also teach in a German-speaking country but in a different education system (see [<reflink idref="bib14" id="ref104">14</reflink>]; [<reflink idref="bib66" id="ref105">66</reflink>]).</p> <p>We are not aware of any previous studies in which the aforementioned scale was used with teachers or other education professionals. We also see the possibility of using the scale further and evaluating it with the participation of teachers in other countries with different teacher training systems and requirements. Another interesting application could be the evaluation of interdisciplinary educational teams working together on the development of students' competences (e.g., teachers and headmasters or school counselors). Because of the increased need for teacher collaboration, we see the potential of our adapted scale for use by German-speaking teachers and in further research (see [<reflink idref="bib20" id="ref106">20</reflink>]; [<reflink idref="bib63" id="ref107">63</reflink>]; [<reflink idref="bib69" id="ref108">69</reflink>]). Finally, we highlight that in further cross-cultural projects, teacher characteristics (e.g., age) should also be considered, in part because no benchmark of the original US scale evaluation currently exists.</p> <p>In addition to the main conclusion of this study, our study also benefits judgment and decision-making research because it provides a more precise picture of teachers' judgment and decision-making potential. According to [<reflink idref="bib49" id="ref109">49</reflink>], there is a potential to increase receptiveness through intervention studies, and there should be separate interventions for each of the four components of the Receptiveness to Opposing Views scale. Therefore, our scale adaption can be used in future intervention studies to increase teachers' receptiveness and awareness of it to reduce biased information processes.</p> <p>Moreover, future studies should increase receptiveness not only through giving other opinions but also through giving digital advice, which may have another opinion or contradicting advice to teachers' opinion. Schools face digital changes, and more and more data on students are available, which could ideally be integrated into a digital advice support tool for teachers ([<reflink idref="bib30" id="ref110">30</reflink>]; [<reflink idref="bib32" id="ref111">32</reflink>]). Therefore, in future intervention studies, receptiveness may increase the acceptance of digital advice tools, which are mostly not provided by in-service and pre-service teachers ([<reflink idref="bib29" id="ref112">29</reflink>]; [<reflink idref="bib30" id="ref113">30</reflink>]) and other experts or non-experts ([<reflink idref="bib8" id="ref114">8</reflink>]; [<reflink idref="bib37" id="ref115">37</reflink>]; [<reflink idref="bib31" id="ref116">31</reflink>]; [<reflink idref="bib46" id="ref117">46</reflink>]). New challenges also arise due to new opportunities, such as in advice interpretation (see [<reflink idref="bib39" id="ref118">39</reflink>]; [<reflink idref="bib42" id="ref119">42</reflink>]; [<reflink idref="bib47" id="ref120">47</reflink>]; [<reflink idref="bib48" id="ref121">48</reflink>]) and in checking whether given digital advice given may also impact teachers' judgment (de-) biasing (see [<reflink idref="bib11" id="ref122">11</reflink>]).</p> <hd id="AN0188423771-25">Conclusions</hd> <p></p> <hd id="AN0188423771-26">Implications for Practice: School Development Projects</hd> <p>For school developments for becoming learning organizations, it is ideal to be open to different views. Therefore, our development approach has practical relevance for school development.</p> <p>School development is an interplay of the triad of organizational, personnel, and teaching development, and its overarching goal is to increase the learning process of students ([<reflink idref="bib55" id="ref123">55</reflink>]; [<reflink idref="bib70" id="ref124">70</reflink>]). We argue that our adapted instruments may measure and evaluate the potential to launch school development projects as we consider openness to opposing views a precondition for any successful school development. A low value on the Receptiveness to Opposing Views scale may indicate a focus on teachers' personnel development as a school development project.</p> <hd id="AN0188423771-27">Outlook</hd> <p>Our adapted scale is a self-reported instrument that is also prone to several reporting biases, such as social desirability ([<reflink idref="bib21" id="ref125">21</reflink>]; [<reflink idref="bib41" id="ref126">41</reflink>]), which are not controlled in the outlined studies but require further consideration in future studies. For example, [<reflink idref="bib73" id="ref127">73</reflink>] developed a natural language processing algorithm that identifies language features (words, phrases, and syntax) that reliably predict how receptive particular individuals are perceived by their partners, thus overcoming potential reporting bias. This approach provides a means of precisely capturing the nature of the disconnect between people's evaluations of their own receptiveness and others' perceptions and should be considered in future research on teachers to evaluate self-reports on opposing views. However, this approach is only available for English-speaking teachers. Future research may initiate such a project for German-speaking teachers or use it for the subgroup of English teachers in German-speaking countries as a further step for a cross-cultural comparison of teachers' receptiveness to other views.</p> <hd id="AN0188423771-28">Supplemental Material</hd> <p>Graph: Supplemental material, sj-docx-1-sgo-10.1177_21582440251358999 for Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation by Esther Kaufmann in SAGE Open</p> <ref id="AN0188423771-29"> <title> References </title> <blist> <bibl id="bib1" idref="ref44" type="bt">1</bibl> <bibtext> Aust F., Diedenhofen B., Ullrich S., Musch J. (2013). Seriousness checks are useful to improve data validity in online research. Behavior Research Methods, 45, 527–535.</bibtext> </blist> <blist> <bibl id="bib2" idref="ref27" type="bt">2</bibl> <bibtext> Baudson T. G., Fischbach A., Preckel F. (2016). Teacher judgments as measures of children's cognitive ability: A multilevel analysis. Learning and Individual Differences, 52, 148–156.</bibtext> </blist> <blist> <bibl id="bib3" idref="ref51" type="bt">3</bibl> <bibtext> Bartlett M. S. (1954). A further note on the multiplying factors for various chi-square approximations in factor analysis. Journal of the Royal Statistical Society, Series B, 16, 296–298.</bibtext> </blist> <blist> <bibl id="bib4" idref="ref77" type="bt">4</bibl> <bibtext> Bentler P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–46.</bibtext> </blist> <blist> <bibl id="bib5" idref="ref62" type="bt">5</bibl> <bibtext> Birnbaum M. H. (2004). Human research and data collection via the internet. Annual Review of Psychology, 55, 803–832. https://doi.org/10.1146/annurev.psych.55.090902.141601</bibtext> </blist> <blist> <bibl id="bib6" idref="ref11" type="bt">6</bibl> <bibtext> Bonefeld M., Dickhäuser O. (2018). (Biased) grading of students' performance: Students' names, performance level, and implicit attitudes. Frontiers in Psychology, 9, 481.</bibtext> </blist> <blist> <bibl id="bib7" idref="ref45" type="bt">7</bibl> <bibtext> Bosnjak M., Tuten T. L. (2001). Classifying response behaviors in web-based surveys. Journal of Computer-Mediated Communication, 6(3), JCMC636.</bibtext> </blist> <blist> <bibl id="bib8" idref="ref114" type="bt">8</bibl> <bibtext> Burton J. W., Stein M., Jensen T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220–239. https://doi.org/10.1002/bdm.2155</bibtext> </blist> <blist> <bibl id="bib9" idref="ref78" type="bt">9</bibl> <bibtext> Browne M. W., Cudeck R. (1993). Alternative ways of assessing model fit. In Bollen K. A., Long J. S. (Eds.), Testing structural equation models (pp. 136–162). Sage.</bibtext> </blist> <blist> <bibtext> Brunswik E. (1956). Perception and the representative design of psychological experiments (2nd ed.). University of California Press.</bibtext> </blist> <blist> <bibtext> Chacon A., Kaufmann E. (2025). An overview of the effects of algorithm use on judgmental biases affecting forecasting. International Journal of Forecasting, 41(2), 424–439. https://doi.org/10.1016/j.ijforecast.2024.09.007</bibtext> </blist> <blist> <bibtext> Dickert J., Glock S. (2025). Exploring the role of parental education level in preservice teachers' judgments. The Journal of Experimental Education. Advance online publication. https://doi.org/10.1080/00220973.2025.2459383</bibtext> </blist> <blist> <bibtext> Dünnebier K., Gräsel C., Krolak-Schwerdt S. (2009). Biases in teachers' assessments of student performance: An experimental study of anchoring effects. Zeitschrift für Pädagogische Psychologie, 23(34), 187–195. https://doi.org/10.1024/1010-0652.23.34.187</bibtext> </blist> <blist> <bibtext> Fend H. (2006). Neue Theorie der Schule. Einfuährung in das Verstehen von Bildungssystemen [Introduction to educational systems]. Verlag fuär Sozialwissenschaften.</bibtext> </blist> <blist> <bibtext> Fiedler K., Walther E., Freytag P., Plessner H. (2002). Judgment biases in a simulated classroom—a cognitive-environmental approach. Organizational Behavior and Human Decision Processes, 88, 527–561. https://doi.org/10.1006/obhd.2001.2981</bibtext> </blist> <blist> <bibtext> Glock S., Kleen H. (2023). Disentangling the confounding effects of students' ethnicity and socioeconomic background on preservice teachers' judgments. International Journal of Intercultural Relations, 95, 101830.</bibtext> </blist> <blist> <bibtext> Glock S., Krolak-Schwerdt S. (2013). Does nationality matter? The impact of stereotypical expectations on student teachers' judgments. Social Psychology Education, 16, 111–127. https://doi.org/10.1007/s11218-012-9197-z</bibtext> </blist> <blist> <bibtext> Glock S., Krolak-Schwerdt S., Klapproth F., Böhmer M. (2013). Beyond judgment bias: How students' ethnicity and academic profile consistency influence teachers' tracking judgments. Social Psychology of Education, 16(4), 555–573.</bibtext> </blist> <blist> <bibtext> Gralewski J., Karwowski M. (2018). Are teachers' implicit theories of creativity related to the recognition of their students' creativity? The Journal of Creative Behavior, 52(2), 156–167. https://doi.org/10.1002/jocb.140</bibtext> </blist> <blist> <bibtext> García-Martínez I., Montenegro-Rueda M., Molina-Fernández E., Fernández-Batanero J. M. (2021). Mapping teacher collaboration for school success. School Effectiveness and School Improvement, 32(4), 631–649.</bibtext> </blist> <blist> <bibtext> He J., van De Vijver F. J., Dominguez Espinosa A., Abubakar A., Dimitrova R., Adams B. G., Aydinli A., Atitsogbe K., Alonso-Arbiol I., Bobowik M., Fischer R., Jordanov V., Mastrotheodoros S., Neto F., Ponizovsky Y. J., Reb J., Sim S., Sovet L., Stefenel D., Villieux A. (2015). Socially desirable responding: Enhancement and denial in 20 countries. Cross-Cultural Research, 49(3), 227–249.</bibtext> </blist> <blist> <bibtext> Holtsch D., Eberle F. (Eds.). (2018). Studies on teaching-learning processes in the commercial sector: Results from the Leading House LINCA and conclusions for practice [Untersuchungen zu Lehr-Lernprozessen im kaufmännischen Bereich: Ergebnisse aus dem Leading House LINCA und Schlussfolgerungen für die Praxis]. Waxmann Verlag.</bibtext> </blist> <blist> <bibtext> Hofstede G. (1986). Cultural differences in teaching and learning. International Journal of Intercultural Relations, 10(3), 301–320.</bibtext> </blist> <blist> <bibtext> Eberle F., Schumann S., Kaufmann E., Jüttler A., Ackermann N. (2016). Modellierung und Messung wirtschaftsbürgerlicher Kompetenz von kaufmännischen Auszubildenden in der Schweiz und in Deutschland [Modelling and measuring civic-economical competence in commercial apprenticeship in Switzerland and Germany]. In Beck K., Landenberger M., Oser F. (Eds.), Technologiebasierte Kompetenzmessung in der beruflichen Bildung – Ergebnisse aus der BMBF-Förderinitiative ASCOT. Reihe Wirtschaft – Beruf – Ethik, Bd. 32 (S. 93–117). W. Bertelsmann.</bibtext> </blist> <blist> <bibtext> Kaiser H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187–200. https://doi:10.1007/BF02289233</bibtext> </blist> <blist> <bibtext> Kaiser H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36. https://doi:10.1007/BF02291575</bibtext> </blist> <blist> <bibtext> Kaufmann E. (2024). Teachers' judgment accuracy: A replication check by psychometric meta-analysis. PLoS ONE, 19(7), e0307594. https://doi.org/10.1371/journal.pone.0307594</bibtext> </blist> <blist> <bibtext> Kaufmann E. (2023). Lens model studies: Revealing teachers' judgements for teacher education. Journal of Education for Teaching, 49(2), 236–251. https://doi.org/10.1080/02607476.2022.2061336</bibtext> </blist> <blist> <bibtext> Kaufmann E. (2021). Algorithm appreciation or aversion? In-service and pre-service teachers' acceptance of computerized expert models. Computers & Education: Artificial Intelligence, 2, 10028. https://doi.org/10.1016/j.caeai.2021.100028</bibtext> </blist> <blist> <bibtext> Kaufmann E., Budescu D. V. (2020). Do teachers consider advice? On the acceptance of computerized expert models. Journal of Educational Measurement, 57(2), 311–342. https://doi.org/10.1111/jedm.12251</bibtext> </blist> <blist> <bibtext> Kaufmann E., Chacon A., Kausel E., Herrera N., Reyes T. (2023). Task-specific algorithm advice acceptance: A review and directions for future research. Data and Information Management, 7(3), 100040, https://doi.org/10.1016/j.dim.2023.100040</bibtext> </blist> <blist> <bibtext> Kaufmann E., Wittmann W. W. (2016). The success of linear bootstrapping models: Decision domain-, expertise-, and criterion-specific meta-analysis. PLoS ONE. 11(6): e0157914. https://doi:10.1371/journal.pone.0157914</bibtext> </blist> <blist> <bibtext> Kline P. (1993). The handbook of psychological testing. Routledge. (AERA).</bibtext> </blist> <blist> <bibtext> Krolak-Schwerdt S., Pit-ten Cate I. M., Hörstermann T. (2018). Teachers' judgments and decision-making: Studies concerning the transition from primary to secondary education and their implications for teacher education. In Assessment of learning outcomes in higher education: Cross-national comparisons and perspectives (pp. 73-101). Springer International Publishing.</bibtext> </blist> <blist> <bibtext> JASP Team. (2023). JASP (Version 0.17.3)[Computer software].</bibtext> </blist> <blist> <bibtext> John O. P. (2021). History, measurement, and conceptual elaboration of the Big-Five trait taxonomy: The paradigm matures. In John O. P., Robins R. W. (Eds.), Handbook of personality: Theory and research (4th ed., pp. 35–82). The Guilford Press.</bibtext> </blist> <blist> <bibtext> Jussupow E., Benbasat I., Heinzl A. (2020). Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion. ECIS 2020 Proceedings.</bibtext> </blist> <blist> <bibtext> Lai M. K., Fjørtoft H., Li M. (2025). Improving how teachers discuss data for data-based decision-making. Teaching and Teacher Education, 155, 104884.</bibtext> </blist> <blist> <bibtext> Lai M. K., Schildkamp K. (2013). Data-based decision making: An overview. In: Schildkamp K., Lai M., Earl L. (Eds.), Data-based decision making in education (Vol. 17). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4816-3_2</bibtext> </blist> <blist> <bibtext> Lanfranchi A. (2016). Zuweisung von Kindern mit Schulproblemen zu sonderpädagogischen Maßnahmen: Schulpsychologen weniger diskriminierend als Lehrkräfte. Praxis der Kinderpsychologie und Kinderpsychiatrie, 65(2), 113–126.</bibtext> </blist> <blist> <bibtext> Larson K. E., Bradshaw C. P. (2017). Cultural competence and social desirability among practitioners: A systematic review of the literature. Children and Youth Services Review, 76, 100–111. https://doi.org/10.1016/j.childyouth.2017.02.034</bibtext> </blist> <blist> <bibtext> Lee J., Alonzo D., Beswick K., Oo C. Z., Anson D., Abril J. M. V. (2024). Data literacy of principals in K–12 school contexts: A systematic review. Educational Research Review, 45, 100649.</bibtext> </blist> <blist> <bibtext> Lepp L., Aaviku T., Leijen Ä., Pedaste M., Saks K. (2021). Teaching during COVID-19: The decisions made in teaching. Education Sciences, 11(2), 47.</bibtext> </blist> <blist> <bibtext> MacCallum R. C., Browne M. W., Sugawara H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130</bibtext> </blist> <blist> <bibtext> Machts N., Kaiser J., Schmidt F. T., Moeller J. (2016). Accuracy of teachers' judgments of students' cognitive abilities: A meta-analysis. Educational Research Review, 19, 85–103. https://doi.org/10.1016/j.edurev.2016.06.003</bibtext> </blist> <blist> <bibtext> Mahmud H., Islam A. N., Ahmed S. I., Smolander K. (2022). What influences algorithmic decision-making? A systematic literature review on algorithm aversion. Technological Forecasting and Social Change, 175, 121390. https://doi.org/10.1016/j.techfore.2021.121390</bibtext> </blist> <blist> <bibtext> Marsh J. A., Bertrand M., Huguet A. (2015). Using data to alter instructional practice: The mediating role of coaches and professional learning communities. Teachers College Record, 117(4), 1–40.</bibtext> </blist> <blist> <bibtext> Merk S., Ophoff J. G., Kelava A. (2023). Rich data, poor information? Teachers' perceptions of mean differences in graphical feedback from statewide tests. Learning and Instruction, 84, 101717.</bibtext> </blist> <blist> <bibtext> Minson J. A., Chen F. S. (2022). Receptiveness to opposing views: Conceptualization and integrative review. Personality and Social Psychology Review, 26(2), 93–111. https://doi.org/10.1177/10888683211061037</bibtext> </blist> <blist> <bibtext> Minson J. A., Chen F. S., Tinsley C. H. (2020). Why won't you listen to me? Measuring receptiveness to opposing views. Management Science, 66(7), 3069–3094.</bibtext> </blist> <blist> <bibtext> R Core Team. (2021). R: A language and environment for statistical computing. (Version 4.0.5, 2021-03-31). R Foundation for Statistical Computing, Vienna, Austria. https://<ulink href="http://www.R-project.org/">www.R-project.org/</ulink>.</bibtext> </blist> <blist> <bibtext> Rammstedt B., Danner D. (2016). Die Facettenstruktur des Big Five Inventory (BFI) [The facet structure of the Big Five Inventory (BFI): Validation for the German adaptation of the BFI]. Diagnostica, 63(1), 70–84. https://doi.org/10.1026/0012-1924/a000161.</bibtext> </blist> <blist> <bibtext> Reips U.-D. (2002). Standards for Internet-based experimenting. Experimental Psychology, 49(4), 243–256. https://doi.org/10.1027//1618-3169.49.4.243</bibtext> </blist> <blist> <bibtext> Reips U.-D. (2021). Web-based research in psychology: A review. Zeitschrift für Psychologie, 229(4), 198–213. https://doi.org/10.1027/2151-2604/a000475</bibtext> </blist> <blist> <bibtext> Rolff H.-G. (2009). Schulentwicklung als Trias von Organisations-, Unterrichts- und Personalentwicklung [School development as a triad of organizational, teaching and personnel development]. In Bohl Th., Helsper W., Holtappels H. G., Schelle C. (Hrsg.), Handbuch Schulentwicklung (S. 29–36). Klinkhardt.</bibtext> </blist> <blist> <bibtext> Ronfeldt M., Farmer S., McQueen K., Grissom J. (2015). Teacher collaboration in instructional teams and student achievement. American Educational Research Journal, 52(3), 475–514.</bibtext> </blist> <blist> <bibtext> Schildkamp K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational Research, 61(3), 257–273.</bibtext> </blist> <blist> <bibtext> Schmitt D. P., Allik J., Mccrae R. R., Benet-Martínez V. (2007). The Geographic distribution of Big Five personality traits: Patterns and profiles of human self-description across 56 Nations. Journal of Cross-Cultural Psychology, 38(2), 173–212. https://doi.org/10.1177/0022022106297299</bibtext> </blist> <blist> <bibtext> Schön D., Argyris C. (1996). Organizational learning II: Theory, method, and practice. Reading: Addison Wesley, 305(2), 107–120.</bibtext> </blist> <blist> <bibtext> Sekretariat der Ständigen Konferenz der Kultusminister der Länder in der Bundesrepublik Deutschland [Standing Conference of the Ministers of Education and Cultural Affairs of the Länder in the Federal Republic of Germany]. (2004). Standards fuär die Lehrerbildung: Bildungswissenschaften [Standards of teaching education: Educational science, Germany], 16, 2004 Beschluss der Kultusministerkonferenz vom December. Bonn.</bibtext> </blist> <blist> <bibtext> Shavelson R. (1973). What is the basic teaching skill? Journal of Teacher Education, 24(2), 144–151. https://doi.org/10.1177/002248717302400213</bibtext> </blist> <blist> <bibtext> Suädkamp A., Kaiser J., Möller J. (2012). Accuracy of teachers' judgments of students' academic achievement: A meta-analysis. Journal of Educational Psychology, 104(3), 743–763. https://doi.org/10.1037/a0027627.</bibtext> </blist> <blist> <bibtext> Sugarman S. (2025). Public Learning: A collaborative practice for cultivating educators' decision-making power and advancing equity in schools. Social and Emotional Learning: Research, Practice, and Policy, 5, 100083</bibtext> </blist> <blist> <bibtext> Stevens J. P. (2012). Applied multivariate statistics for the social sciences. Routledge.</bibtext> </blist> <blist> <bibtext> Strahl F., Jansen T., Kilian J., Reble R., Schneider R., Möller J. (2025). Context counts: Unveiling the impact of achievement level on teachers' text assessment. Learning and Instruction, 95, 102046.</bibtext> </blist> <blist> <bibtext> Tatto M. T., Lerman S., Novotná J. (2009). Overview of teacher education systems across the world. In The professional education and development of teachers of mathematics: The 15th ICMI study (pp. 15–23). Springer US.</bibtext> </blist> <blist> <bibtext> Tversky A., Kahneman D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. <ulink href="http://www.jstor.org/stable/1738360">http://www.jstor.org/stable/1738360</ulink></bibtext> </blist> <blist> <bibtext> Urhahne D., Wijnia L. (2021). A review on the accuracy of teacher judgments. Educational Research Review, 32. https://doi.org/10.1016/j.edurev.2020.100374.</bibtext> </blist> <blist> <bibtext> Vangrieken K., Dochy F., Raes E., Kyndt E. (2015). Teacher collaboration: A systematic review. Educational Research Review, 15, 17–40. https://doi.org/10.1016/j.edurev.2015.04.002</bibtext> </blist> <blist> <bibtext> Vangrieken K., Meredith C., Packer T., Kyndt E. (2017). Teacher communities as a context for professional development: A systematic review. Teaching and Teacher Education, 61, 47–59.</bibtext> </blist> <blist> <bibtext> Vanlommel K., Van Gasse R., Vanhoof J., Van Petegem P. (2017). Teachers' decision-making: Data based or intuition driven? International Journal of Educational Research, 83, 75–83.</bibtext> </blist> <blist> <bibtext> Yates J. F., Lee J. W., Shinotsuka H., Patalano A. L., Sieck W. R. (1998). Cross-cultural variations in probability judgment accuracy: Beyond general knowledge overconfidence? Organizational Behavior and Human Decision Processes, 74(2), 89–117.</bibtext> </blist> <blist> <bibtext> Yeomans M., Shah A. K., Mullainathan S., Kleinberg J. (2019). Making sense of recommendations. Journal of Behavioral Decision Making, 32(4), 403–414. https://doi.org/10.1002/bdm.2118</bibtext> </blist> <blist> <bibtext> Yendell O., Claus C., Bonefeld M., Karst K. (2024). "I wish I could say, 'yeah, both the same'": Cultural stereotypes and individual differentiations of preservice teachers about different low socioeconomic origins. Social Psychology of Education: An International Journal, 27(3), 777–812. https://doi.org/10.1007/s11218-023-09815-w</bibtext> </blist> </ref> <ref id="AN0188423771-30"> <title> Footnotes </title> <blist> <bibtext> Esther Kaufmann</bibtext> </blist> <blist> <bibtext>Graph https://orcid.org/0000-0003-1177-5146</bibtext> </blist> <blist> <bibtext> Our local ethics committee does not check it because the sample are adults and our study is embedded in a comprehensive research projects. Participants got at the beginning of the online survey an informed consent.</bibtext> </blist> <blist> <bibtext> The author(s) received no financial support for the research, authorship, and/or publication of this article.</bibtext> </blist> <blist> <bibtext> The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</bibtext> </blist> <blist> <bibtext> The datasets generated during the current study are available in the following Open Science Framework repository, https://osf.io/26pfr/?view_only=97ab45a3c1be44058a88b3509b5d01e1.</bibtext> </blist> <blist> <bibtext> Supplemental material for this article is available online.</bibtext> </blist> <blist> <bibtext> To enhance clarity in our text, we talked about German teachers throughout our manuscript, but we want to emphasize that they were actually Swiss teachers, specifically from the German-speaking part of Switzerland. Therefore, our samples of Swiss teachers and German students refers to a German-speaking population, which we summarize as "German" in the following text.</bibtext> </blist> </ref> <aug> <p>By Esther Kaufmann</p> <p>Reported by Author</p> </aug> <nolink nlid="nl1" bibid="bib43" firstref="ref1"></nolink> <nolink nlid="nl2" bibid="bib28" firstref="ref2"></nolink> <nolink nlid="nl3" bibid="bib34" firstref="ref3"></nolink> <nolink nlid="nl4" bibid="bib38" firstref="ref4"></nolink> <nolink nlid="nl5" bibid="bib61" firstref="ref5"></nolink> <nolink nlid="nl6" bibid="bib71" firstref="ref6"></nolink> <nolink nlid="nl7" bibid="bib59" firstref="ref7"></nolink> <nolink nlid="nl8" bibid="bib57" firstref="ref8"></nolink> <nolink nlid="nl9" bibid="bib56" firstref="ref9"></nolink> <nolink nlid="nl10" bibid="bib67" firstref="ref10"></nolink> <nolink nlid="nl11" bibid="bib12" firstref="ref12"></nolink> <nolink nlid="nl12" bibid="bib13" firstref="ref13"></nolink> <nolink nlid="nl13" bibid="bib15" firstref="ref14"></nolink> <nolink nlid="nl14" bibid="bib16" firstref="ref15"></nolink> <nolink nlid="nl15" bibid="bib17" firstref="ref16"></nolink> <nolink nlid="nl16" bibid="bib18" firstref="ref17"></nolink> <nolink nlid="nl17" bibid="bib65" firstref="ref18"></nolink> <nolink nlid="nl18" bibid="bib74" firstref="ref19"></nolink> <nolink nlid="nl19" bibid="bib60" firstref="ref21"></nolink> <nolink nlid="nl20" bibid="bib27" firstref="ref23"></nolink> <nolink nlid="nl21" bibid="bib62" firstref="ref24"></nolink> <nolink nlid="nl22" bibid="bib45" firstref="ref25"></nolink> <nolink nlid="nl23" bibid="bib19" firstref="ref26"></nolink> <nolink nlid="nl24" bibid="bib68" firstref="ref28"></nolink> <nolink nlid="nl25" bibid="bib10" firstref="ref29"></nolink> <nolink nlid="nl26" bibid="bib72" firstref="ref31"></nolink> <nolink nlid="nl27" bibid="bib23" firstref="ref32"></nolink> <nolink nlid="nl28" bibid="bib14" firstref="ref33"></nolink> <nolink nlid="nl29" bibid="bib66" firstref="ref34"></nolink> <nolink nlid="nl30" bibid="bib40" firstref="ref35"></nolink> <nolink nlid="nl31" bibid="bib50" firstref="ref36"></nolink> <nolink nlid="nl32" bibid="bib49" firstref="ref37"></nolink> <nolink nlid="nl33" bibid="bib24" firstref="ref52"></nolink> <nolink nlid="nl34" bibid="bib29" firstref="ref53"></nolink> <nolink nlid="nl35" bibid="bib30" firstref="ref54"></nolink> <nolink nlid="nl36" bibid="bib53" firstref="ref60"></nolink> <nolink nlid="nl37" bibid="bib54" firstref="ref61"></nolink> <nolink nlid="nl38" bibid="bib51" firstref="ref68"></nolink> <nolink nlid="nl39" bibid="bib35" firstref="ref69"></nolink> <nolink nlid="nl40" bibid="bib33" firstref="ref73"></nolink> <nolink nlid="nl41" bibid="bib25" firstref="ref76"></nolink> <nolink nlid="nl42" bibid="bib44" firstref="ref79"></nolink> <nolink nlid="nl43" bibid="bib64" firstref="ref80"></nolink> <nolink nlid="nl44" bibid="bib52" firstref="ref82"></nolink> <nolink nlid="nl45" bibid="bib36" firstref="ref83"></nolink> <nolink nlid="nl46" bibid="bib58" firstref="ref84"></nolink> <nolink nlid="nl47" bibid="bib153" firstref="ref88"></nolink> <nolink nlid="nl48" bibid="bib26" firstref="ref89"></nolink> <nolink nlid="nl49" bibid="bib511" firstref="ref96"></nolink> <nolink nlid="nl50" bibid="bib356" firstref="ref97"></nolink> <nolink nlid="nl51" bibid="bib358" firstref="ref98"></nolink> <nolink nlid="nl52" bibid="bib357" firstref="ref101"></nolink> <nolink nlid="nl53" bibid="bib22" firstref="ref103"></nolink> <nolink nlid="nl54" bibid="bib20" firstref="ref106"></nolink> <nolink nlid="nl55" bibid="bib63" firstref="ref107"></nolink> <nolink nlid="nl56" bibid="bib69" firstref="ref108"></nolink> <nolink nlid="nl57" bibid="bib32" firstref="ref111"></nolink> <nolink nlid="nl58" bibid="bib37" firstref="ref115"></nolink> <nolink nlid="nl59" bibid="bib31" firstref="ref116"></nolink> <nolink nlid="nl60" bibid="bib46" firstref="ref117"></nolink> <nolink nlid="nl61" bibid="bib39" firstref="ref118"></nolink> <nolink nlid="nl62" bibid="bib42" firstref="ref119"></nolink> <nolink nlid="nl63" bibid="bib47" firstref="ref120"></nolink> <nolink nlid="nl64" bibid="bib48" firstref="ref121"></nolink> <nolink nlid="nl65" bibid="bib11" firstref="ref122"></nolink> <nolink nlid="nl66" bibid="bib55" firstref="ref123"></nolink> <nolink nlid="nl67" bibid="bib70" firstref="ref124"></nolink> <nolink nlid="nl68" bibid="bib21" firstref="ref125"></nolink> <nolink nlid="nl69" bibid="bib41" firstref="ref126"></nolink> <nolink nlid="nl70" bibid="bib73" firstref="ref127"></nolink>
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  Group: Ti
  Data: Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation
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  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Esther+Kaufmann%22">Esther Kaufmann</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1177-5146">0000-0003-1177-5146</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22SAGE+Open%22"><i>SAGE Open</i></searchLink>. 2025 15(3).
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
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  Data: 12
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  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
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  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+School+Teachers%22">Secondary School Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+Change%22">Attitude Change</searchLink><br /><searchLink fieldCode="DE" term="%22Adoption+%28Ideas%29%22">Adoption (Ideas)</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Response%22">Teacher Response</searchLink><br /><searchLink fieldCode="DE" term="%22Media+Adaptation%22">Media Adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Validity%22">Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability%22">Reliability</searchLink><br /><searchLink fieldCode="DE" term="%22World+Views%22">World Views</searchLink><br /><searchLink fieldCode="DE" term="%22Perspective+Taking%22">Perspective Taking</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1177/21582440251358999
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  Label: ISSN
  Group: ISSN
  Data: 2158-2440
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Teachers continuously make numerous judgments and engage with various educational stakeholders, whose perspectives are eventually integrated into their judgments. Given the differing viewpoints of these stakeholders, one may ask how receptive teachers are to diverse perspectives. In the present study, a German adaption of the Minson's Receptiveness to Opposing Views scale for German-speaking teachers and non-teachers was introduced as the first German instrument for cross-cultural comparisons. To evaluate the scale, a cross-cultural comparison was conducted (358 US and German teachers). After the validity and reliability of the German version of the Receptiveness to Opposing Views scale were confirmed, English- and German-speaking teachers significant differences between their overall scale results and their results for the subscales of Intellectual Curiosity, Derogation of Opponents, and Taboo Issues were found. A research agenda and its implications for practice, teacher development, and education is presented.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: Note
  Label: Notes
  Group: Note
  Data: https://osf.io/26pfr/?view_only=97ab45a3c1be44058a88b3509b5d01e1
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1486872
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1486872
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/21582440251358999
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Secondary School Teachers
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Attitude Change
        Type: general
      – SubjectFull: Adoption (Ideas)
        Type: general
      – SubjectFull: Teacher Response
        Type: general
      – SubjectFull: Media Adaptation
        Type: general
      – SubjectFull: Validity
        Type: general
      – SubjectFull: Reliability
        Type: general
      – SubjectFull: World Views
        Type: general
      – SubjectFull: Perspective Taking
        Type: general
      – SubjectFull: Germany
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Teachers' Receptiveness to Opposing Views: A Cross-Cultural Scale Adaption and Evaluation
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Esther Kaufmann
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2158-2440
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: SAGE Open
              Type: main
ResultId 1