|Title||The performance of the IES-R for Latinos and non-Latinos: Assessing measurement invariance.|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||Tiemensma, J, Depaoli, S, Winter, SD, Felt, JM, Rus, HM, Arroyo, AC|
|Keywords||Adolescent, Adult, California, Ethnic Groups, Hispanic Americans, Humans, Population Surveillance, Psychometrics, Reproducibility of Results, Stress Disorders, Post-Traumatic, Students, Universities, Young Adult|
Violent acts on university campuses are becoming more frequent. Enrollment rates of Latinos at universities is increasing. Research has indicated that youths are more susceptible to trauma, particularly Latinos. Thus, it is imperative to evaluate the validity of commonly used posttraumatic stress measures among Latino college students. The Impact of Event Scale-Revised (IES-R) is one of the most commonly used metrics of posttraumatic stress disorder symptomatology. However, it is largely unknown if the IES-R is measuring the same construct across different sub-samples (e.g. Latino versus non-Latino). The current study aimed to assess measurement invariance for the IES-R between Latino and non-Latino participants. A total of 545 participants completed the IES-R. One- and three-factor scoring solutions were compared using confirmatory factor analyses. Measurement invariance was then evaluated by estimating several multiple-group confirmatory factor analytic models. Four models with an increasing degree of invariance across groups were compared. A significant χ2 difference test was used to indicate a significant change in model fit between nested models within the measurement invariance testing process. The three-factor scoring solution could not be used for the measurement invariance process because the subscale correlations were too high for estimation (rs 0.92-1.00). Therefore, the one-factor model was used for the invariance testing process. Invariance was met for each level of invariance: configural, metric, scalar, and strict. All measurement invariance testing results indicated that the one-factor solution for the IES-R was equivalent for the Latino and non-Latino participants.
|Alternate Journal||PLoS One|
|PubMed Central ID||PMC5882119|