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Effects of the Generic Masculine or its Alternatives? A Multi-lab Replication and Extension of Stahlberg, Sczesny, and Braun, 2001 Projektbeschreibung In languages such as German, French, or Hindi, plural forms of job occupations and societal roles are often in a generic-masculine form instead of a gender-neutral form. Although meant as “generic”, this generic-masculine form excludes women from everyday language and might even entail the cognitive effect that listeners and readers will less likely think of women. Several studies have demonstrated this and related cognitive effects in the past. Due to the societal relevance of gender-neutral language, I and my collaborators propose a direct replication and extension of a classic study by Stahlberg, Sczesny, and Braun (2001, Experiment 2) in a multi-lab setting. In this study, German speaking participants were asked to name celebrities from several domains, such as politics, music and sports. When they were asked in a gender-neutral form (e.g., “Bitte nennen Sie Politikerinnen und Politiker”; English: “Please name male and female politicians”), participants came up with more women than when the generic-masculine form was used (“Bitte nennen Sie Politiker”; English: “Please name politicians”). However, the original study did not control for potentially relevant control variables and moderators, such as the participants’ political orientation. Hence, to achieve sufficient statistical power, the proposed multi-lab study will be conducted among 12 labs, collecting data from at least N = 2,000 participants. October 2020 The manuscript for the mulitlab study was finalized and submitted at the International Review of Social Psychology (https://www.rips-irsp.com/) The editors of this journal welcomed the submission and created a new OSF project (https://osf.io/fdrn6/) In to bring the manuscript in a standardized format, I had to split it up into four parts: Theoretical Rationale and Hypotheses, Pilot Data, Methods and Procedures, and Planned Analyses Reviewers were found quickly November 2020 By the end of the month, one reviewer had submitted his review. Overall, this first review was positive about the multi-lab study and only had minor ideas how to improve both the manuscript and the research design of study These changes will be implemented as soon as the second reviewer has submitted his review December 2020 The second reviewer was positive about the overall aim of the project and appreciated the multi-lab approach He also suggested several changes and improvements, which will be summarized here (the full review can be accessed after completion of the project: https://osf.io/c3rvw/) Adding some theoretical information on the "perceived base rate" in the theory section Reorganization of the manuscript: putting the pre-studies into the supplementary materials and focussing on the description of the main study Clarification of the power analysis (i.e., how we justify our sample size) across all labs Adding multi-level analyses (i.e., controlling for lab effects and participant effects directly in the statistical model) MILESTONE: Resubmission of the article after the revision (planned for the 23rd of December) January 2021 (planned) Receiving a second round of reviews and an in-principle acceptance The online survey is already available but needs to be uploaded and adjusted according to the multi-lab setting Distribution of the surveys to the labs MILESTONE: Start of the data collection procedure February 2021 (planned) MILESTONE: End of the data collection procedure Data then needs to be coded by two trained raters (student assistants), which will take approximately one month. Autor/in Name: Hilmar Brohmer Institution: University of Graz Kontakt: hilmar.brohmer <AT> uni-graz.at Data Management Plan A Data Management Plan will be provided on the project page of the Open Science Framework