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Data from: Apologies as signals for change? Implicit theories of personality and reactions to apologies during the #MeToo movement
Internal Dataset

UID: 90

Author(s): Schumann, Karina*+ * Corresponding Author + University of Pittsburgh Author
Description

This dataset was generated from a survey of 720 participants (366 females, 354 males) recruited from Qualtrics in December of 2017 when the #MeToo movement was still at its peak. The survey examined people's reactions to apologies offered by prominent public figures in response to allegations of sexual misconduct (ranging from sexual harassment to rape) with a focus on whether their implicit theories of personality-their beliefs about whether personality is changeable-influenced their evaluations of the apologies and the men who issued them.

In randomized order, participants read and responded to statements that had been publicly offered by Harvey Weinstein, Kevin Spacey, Russell Simmons, and Al Franken. As a comparison, participants also read and responded to a high-profile denial statement offered by Roy Moore (full text of public statements are available in the supplementary materials).

This dataset includes .sav files of the raw data and the survey instrument in .docx. The unnested file presents the data in wide format suitable for within-subjects comparisons; the other file presents the data in long format, suitable for multilevel modeling (i.e., responses to each of the five statements nested within participants).

Timeframe
2017
Geographic Coverage
United States
Subject Sex
Male
Female
Keywords
Forgiveness
Personality
Psychology
Sex Offenses
Social Perception
Access via OSF

.sav files and survey instrument in .docx
Accession #: 10.17605/OSF.IO/3U7XS

Access Restrictions
Free to all
Access Instructions
Download data and survey instrument via Open Science Framework (OSF).
Associated Publications
Schumann K. Apologies as signals for change? Implicit theories of personality and reactions to apologies during the #MeToo movement. PLoS One. 2019 Dec 23;14(12):e0226047. doi: 10.1371/journal.pone.0226047. PMID: 31869325; PMCID: PMC6927633.
Data Type
Survey
Software Used
G*Power

Power analysis program for statistical tests commonly used in social and behavioral research.

Qualtrics

Web-based survey platform

SPSS

Software package used for statistical analysis.

Dataset Format(s)
SPSS data file (.SAV)
Resource Type(s)
Dataset
Data Catalog Record Updated
2020-09-08

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