Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Abstract

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

Social Anxiety and Mental Health Service Use Among Asian American High School Students

“…It is possible that discrimination from peers, which has been found to be more frequent in Asian Americans than other ethnic minorities [28, 29], may increase specific risk for SA. Another possibility is that the elevated social distress among Asian American high school students is related to discomfort in academic situations.…”

“…First, Asian Americans may experience SA more frequently than other ethnic groups, possibly due to factors such as socialized inhibition [20, 27] or racially motivated peer discrimination [28, 29]. While Black and Latino students report more institutional discrimination and discrimination from adults, Asian American adolescents report more harassment and discrimination from peers [30, 31].…”

Factorial structure of the 20-item Toronto Alexithymia Scale in a large sample of somatoform patients

“…Because of its methodological soundness and validity this approach is commonly used in psychometric research (e.g. Miller et al, 2012;Van Prooijen and van der Kloot, 2001).…”

Evaluation of Psychosocial Problems Among African University Students in Uganda: Development and Validation of a Screening Instrument

“…The CFA was run using the software package of IBM SPSS Amos 21. The following indices as a minimum number to be reported to support model fit were used (Kline, 2005;Crockett, 2012): (1) The model chi-square with corresponding degrees of freedom and level of statistical significance; (2) RMSEA (the Root Mean Square-Error of Approximation) with corresponding 90% confidence intervals, in the present study (RMSEA) was at or below 0.05, with values at or less than 0.05 indicate close model fit, which is customarily considered acceptable (Crockett, 2012;Worthington & Whittaker, 2006); (3) CFI (the comparative fit index) is an incremental fit index, values range between 0.0 and 1.0 with values equal to or exceeding 0.90 indicating a good fit (Crockett, 2012;Miller, Kim, Chen, & Alvarez, 2012;Hu & Bentler, 1999); and (4) Values for RMR (the root mean square residual), values range from 0.0 to 1.0 with well-fitting models obtaining values less than 0.05 (Byrne, 2006), however, values as high as 0.08 are deemed acceptable (Hu & Bentler, 1999).…”

“…To evaluate the model adequacy, four measures of fit were used: chi-square, RMR value less than or equal to 0.09, RMSEA values less than 0.10, and CFI, values greater than or equal to 0.90 are individually indicative of adequate model fit (Bentler, 1990;Browne & Cudeck, 1992;Hu & Bentler, 1999;Miller, Kim, Chen, & Alvarez, 2012;Crockett, 2012). An examination of the coefficients of hypothesized relationships between the structural and the hypothesized model suggested that the model was a reasonably acceptable fit to the data, given the guidelines described earlier.…”