Expanding Use of the Social Reactions Questionnaire among Diverse Women, Denver, Colorado, 2013-2016 [electronic resource] Anne P. DePrince

2018-09-19

Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 2018

1 online resource

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These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The Social Reactions Questionnaire (SRQ) is a widely used instrument designed to measure perceptions of social reactions. Studies using the SRQ have generally asked women to report on social reactions from "other persons told about the assault," without specifying which persons. The purpose of this study was to test a modified version of the SRQ that asked women to report separately on social reactions from criminal justice personnel, community-based providers, and informal supports. The researchers sought to examine changes in social reactions longitudinally as well as the impact of social reactions on criminal justice engagement and post-traumatic distress among diverse women following a recent sexual assault. The study included testing hypotheses about the inter-relationships among social reactions, victim well-being (e.g., psychological distress), and criminal justice variables (e.g., victim engagement with prosecution). Addressing the dearth of longitudinal research on social reactions, this study examined causal links among variables. In particular, researchers tested hypotheses about changes in social reactions over time in relation to criminal justice cases and victims' post-traumatic reactions. The data included as part of this collection includes one SPSS data file (2_1-Data_Quantiative-Variables-Updated-20180611.sav) with 3,310 variables for 228 cases. Demographic variables included: respondent's age, race, ethnicity, country of origin, sexual orientation, marital status, education level, employment status, income source, economic level, religion, household characteristics, and group identity. The data also contain transcripts of qualitative interviews and one SPSS qualitative coding dataset (file7-2_4_Data_Open_ended_Codes_from_Transcripts.sav) with 19 variables and 225 cases, which are not included in this fast track release. Cf: http://doi.org/10.3886/ICPSR36776.v1

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June 17, 2019

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