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Measuring individual differences in responses to date‐rape vignettes using latent variable models
Author(s) -
Tuliao Antover P.,
Hoffman Lesa,
McChargue Dennis E.
Publication year - 2016
Publication title -
aggressive behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.223
H-Index - 92
eISSN - 1098-2337
pISSN - 0096-140X
DOI - 10.1002/ab.21662
Subject(s) - vignette , latent variable , psychology , perception , latent variable model , variable (mathematics) , blueprint , covariate , cognitive psychology , event (particle physics) , syntax , computer science , social psychology , artificial intelligence , machine learning , engineering , mathematics , mechanical engineering , mathematical analysis , physics , quantum mechanics , neuroscience
Vignette methodology can be a flexible and powerful way to examine individual differences in response to dangerous real‐life scenarios. However, most studies underutilize the usefulness of such methodology by analyzing only one outcome, which limits the ability to track event‐related changes (e.g., vacillation in risk perception). The current study was designed to illustrate the dynamic influence of risk perception on exit point from a date‐rape vignette. Our primary goal was to provide an illustrative example of how to use latent variable models for vignette methodology, including latent growth curve modeling with piecewise slopes, as well as latent variable measurement models. Through the combination of a step‐by‐step exposition in this text and corresponding model syntax available electronically, we detail an alternative statistical “blueprint” to enhance future violence research efforts using vignette methodology. Aggr. Behav. 43:60–73, 2017. © 2016 Wiley Periodicals, Inc.