Empirical Insights for Improving Sexual Assault Prevention: Evidence From Baseline Data for a Cluster-Randomized Trial of IMPower and Sources of Strength.


Journal

Violence against women
ISSN: 1552-8448
Titre abrégé: Violence Against Women
Pays: United States
ID NLM: 9506308

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 27 11 2019
medline: 19 8 2021
entrez: 27 11 2019
Statut: ppublish

Résumé

The empirical science of measuring and preventing sexual assault is in its infancy, especially when considering adolescents in developing nations. We analyze pre-intervention data collected in a two-arm cluster-randomized controlled trial of a classroom-based sexual assault prevention program deployed to Class 6 students around Nairobi, Kenya. We estimate that 7.2% of girls were raped in the prior 12 months. We identify school- and individual-level risk factors for rape. We isolate, as much as possible, variation in probability of rape attributable to a subset of these risk factors. We discuss statistical challenges and solutions in each of these domains.

Identifiants

pubmed: 31766987
doi: 10.1177/1077801219886380
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1855-1875

Auteurs

Evan Rosenman (E)

Department of Statistics, Stanford University, Stanford, CA, USA.

Clea Sarnquist (C)

Stanford Prevention Research Center, Stanford, CA, USA.

Rina Friedberg (R)

Department of Statistics, Stanford University, Stanford, CA, USA.

Mary Amuyunzu-Nyamongo (M)

African Institute for Health & Development, Nairobi, Kenya.

Gabriel Oguda (G)

African Institute for Health & Development, Nairobi, Kenya.

Dorothy Otieno (D)

African Institute for Health & Development, Nairobi, Kenya.

Michael Baiocchi (M)

Department of Statistics, Stanford University, Stanford, CA, USA.
Stanford Prevention Research Center, Stanford, CA, USA.

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Classifications MeSH