2013
DOI: 10.1097/nmd.0b013e31827f627d
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The Factorial Invariance Across Gender of Three Well-Supported Models

Abstract: Three well-supported latent models of posttraumatic stress disorder (PTSD; i.e., Emotional Numbing, Dysphoria, and Dysphoric Arousal [DA] models) were examined using factorial invariance across gender. There is a notable lack of studies that have investigated the factorial invariance of the PTSD models across gender, and, to date, no study has assessed the factorial invariance of the DA model across gender. The current sample consisted of 571 children and adolescent earthquake survivors (297 male and 274 femal… Show more

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Cited by 30 publications
(20 citation statements)
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“…This model has provided an optimal representation of PTSD symptoms in trauma-exposed adults (Harpaz-Rotem et al, 2014; Pietrzak et al, 2012) and youth (Elhai et al, 2013). To date, virtually all research on the dysphoric arousal model in disaster-exposed youth has been conducted in Chinese adolescent earthquake survivors (e.g., Wang, Armour et al, 2013; Wang, Long et al, 2011). Our results extend work on the dysphoric arousal model in disaster-exposed youth to both a new cultural context and natural disaster.…”
Section: Discussionmentioning
confidence: 99%
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“…This model has provided an optimal representation of PTSD symptoms in trauma-exposed adults (Harpaz-Rotem et al, 2014; Pietrzak et al, 2012) and youth (Elhai et al, 2013). To date, virtually all research on the dysphoric arousal model in disaster-exposed youth has been conducted in Chinese adolescent earthquake survivors (e.g., Wang, Armour et al, 2013; Wang, Long et al, 2011). Our results extend work on the dysphoric arousal model in disaster-exposed youth to both a new cultural context and natural disaster.…”
Section: Discussionmentioning
confidence: 99%
“…We examined whether the best-fitting model was invariant across adolescent gender and younger (12–14 years) and older (15–17 years) age using a comprehensive invariance testing approach (Meredith and Teresi, 2006; Wang, Armour et al, 2013). We tested a series of models that imposed increasingly stringent restrictions across groups: 1) Configural invariance model (same factor structure across groups but all parameters allowed to vary); 2) Weak factorial/metric invariance model (factor loadings constrained to be equal across groups); 3) Strong factorial/scalar invariance model (observed variable thresholds constrained to be equal across groups to assess equivalence in item severity); 4) Strict factorial invariance model (residual error variances constrained to be equal across groups to assess equivalence in measurement error across groups); 5) Invariance of factor variances and covariances (factor variances and covariances constrained to be equal across groups); and 6) Invariance of factor means (factor means constrained to be equal across groups).…”
Section: Methodsmentioning
confidence: 99%
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