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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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Predictors of Sexual Harassment Using Classification and Regression Tree Analyses and Hurdle Models: A Direct
Jan-Louw Kotzé1, Patricia A Frazier1, Kayla A Huber1
1Department of Psychology, University of Minnesota Twin Cities.
Journal of Sex Research
|July 24, 2023
Summary
Sexual harassment is prevalent in US higher education. This study confirmed previous findings on risk factors, showing that younger age, alcohol use, and prior adversity predict peer harassment, while LGBQ+ identity predicts faculty/staff harassment.
Area of Science:
- Sociology
- Higher Education Studies
- Public Health
Background:
- Sexual harassment is a significant issue affecting numerous students in U.S. higher education institutions.
- Previous research identified key risk factors using statistical models.
Purpose of the Study:
- To validate and replicate previously identified risk factors for sexual harassment among college students.
- To assess the robustness of findings from prior hurdle model and classification and regression tree (CART) analyses.
Main Methods:
- Secondary data analysis of 9,552 students from two- and four-year colleges.
- Replication of hurdle models and CART analyses to assess statistical significance and effect size consistency.
- Evaluation of replicability criteria for model coefficients and variable predictions.
Main Results:
- The original findings on sexual harassment risk factors were robustly replicated.
- 91% of effects in hurdle models and 88% of variables in CART analyses met replication criteria.
- Key predictors included younger age, frequent alcohol consumption, four-year college attendance, prior victimization for peer harassment, and LGBQ+ identity for faculty/staff harassment.
Conclusions:
- The identified risk factors for sexual harassment are reliable across different student samples.
- Findings support the development of targeted prevention and intervention strategies in higher education.
- Further research is necessary to elucidate the mechanisms behind demographic and contextual associations with harassment risk.
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