2026-06-27T20:47:53Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

3423db46d677009d0d7ff311f8390642260139fdd51d0d79d55baf7278b037be 2026-06-02T13:50:28Z language:enopenaire_data

DDI study level documentation for study 10.7802/2742 Gender biases in assessing applicants for assistant professorships in Germany: A factorial survey experiment Gender biases in assessing applicants for assistant professorships in Germany: A factorial survey experiment Gender biases in assessing applicants for assistant professorships in Germany: A factorial survey experiment 10.7802/274210.7802/274210.7802/274210.7802/2742 Rusconi, Alessandra Rusconi, Alessandra Solga, Heike Solga, Heike [WZB Berlin Social Science Center [=] Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy – The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689) [=] German Centre for Higher Education Research and Science Studies (DZHW)] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften Gender inequalityAcademiaGender preferential selectionVignette studyGender inequalityAcademiaGender preferential selectionVignette study Higher education institutions have implemented various affirmative action policies aimed at increasing the representation of female professors, including measures to reduce gender bias in professorship appointments. This raises the question of whether nowadays biases against women are expressed, suppressed, or even reversed in the evaluation of applicants for professorships. Research on gender bias in assistant professor appointments is very sparse and inconsistent. This factorial survey experiment with German university professors from different disciplines (mathematics, physics, economics, sociology, political science, and German studies) addresses this research gap. To simulate the situation of hiring prospective faculty by incumbent faculty, we addressed assistant, associate, and full professors who are all eligible to serve in appointment committees in Germany. The respondents evaluated short descriptions of hypothetical applicants for assistant professorships on a scale from 1 (lowest) to 7 (highest) on two aspects: “perceived qualification” (i.e., whether they consider the applicant to be qualified for an assistant professorship) and “invitation propensity” (i.e., how likely they would invite the applicant to a job interview). Respondents evaluated the applicants’ profiles relative to their own disciplines. To avoid social desirability, we combine a between-subject design for applicant’s gender and a within-subject design for all other profile dimensions.Higher education institutions have implemented various affirmative action policies aimed at increasing the representation of female professors, including measures to reduce gender bias in professorship appointments. This raises the question of whether nowadays biases against women are expressed, suppressed, or even reversed in the evaluation of applicants for professorships. Research on gender bias in assistant professor appointments is very sparse and inconsistent. This factorial survey experiment with German university professors from different disciplines (mathematics, physics, economics, sociology, political science, and German studies) addresses this research gap. To simulate the situation of hiring prospective faculty by incumbent faculty, we addressed assistant, associate, and full professors who are all eligible to serve in appointment committees in Germany. The respondents evaluated short descriptions of hypothetical applicants for assistant professorships on a scale from 1 (lowest) to 7 (highest) on two aspects: “perceived qualification” (i.e., whether they consider the applicant to be qualified for an assistant professorship) and “invitation propensity” (i.e., how likely they would invite the applicant to a job interview). Respondents evaluated the applicants’ profiles relative to their own disciplines. To avoid social desirability, we combine a between-subject design for applicant’s gender and a within-subject design for all other profile dimensions. DeutschlandDeutschland Professors from the departments of mathematics, physics, economics, political science, sociology and social sciences (combining political science and sociology), and German studies at German universities. Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)Selbstausfüller:CAWI(Computerunterstütztes Web-Interview) Restricted Access - To get access to the research data, the original data depositor's consent is needed.Eingeschränkter Zugang - Für den Zugang zu den Forschungsdaten muss eine Einwilligung der Datengebenden eingeholt werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2742 2025-04-28 ddi:codebook:2_5