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Journal of Psychopathology and Behavioral Assessment

Gepubliceerd in:

01-09-2014

A Bifactor Model of Anxiety Sensitivity: Analysis of the Anxiety Sensitivity Index-3

Auteurs: Chad Ebesutani, Alison C. McLeish, Christina M. Luberto, John Young, Danielle J. Maack

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 3/2014

Abstract

The purpose of the current study was to investigate the fit of a bifactor model of the Anxiety Sensitivity Index-3 (ASI-3; Taylor et al. Psychological Assessment, 19, 176–188, 2007) as well as to examine measurement invariance of the ASI-3 across gender. Participants were undergraduate students from the University of Cincinnati (n = 954; 63 % female). Results indicated that the bifactor model was the best fit to the data, and that this model of AS is fully invariant in terms of gender. The current findings suggest that anxiety sensitivity consists of a general factor and three independent group factors (rather than a higher-order factor with three correlated lower-order factors). The ASI-3 subscales from the bifactor model however did not provide incremental predictive utility above and beyond the general AS factor with respect to an external anxiety criterion. Related research and clinical implications are discussed.

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It is important to remind readers and researchers that data derived from Likert-scales are ordinal (i.e., ordered-categorical data) and should be modeled as such (cf. Millsap and Yun-Tein 2004). Although some researchers have appropriately treated their ASI data as ordinal (e.g., Taylor et al. 2007), other researchers either did not treat their ASI data as ordinal or did not report how they treated their data (e.g., Armstrong et al. 2006; Bernstein et al. 2010; Osman et al. 2010).

It is notable that these cut-offs for “good model fit” were derived from simulation studies based on continuous data (e.g., Chen et al. 2008). Therefore, although these cut-offs are currently the best guidelines available to follow when conducting analyses on categorical data, the degree to which these cut-offs are applicable to categorical-based results (as in the present study) is largely unknown.

Regarding the 3-factor correlated traits model, all three subscales were significantly associated with one another. The correlation between the physical concerns and social concerns subscale was .56 (p < .001) and between the physical concerns and cognitive concerns subscales was .65 (p < .001). The correlation between the social and cognitive concerns subscale was .67 (p < .001).

The standard bivariate correlation coefficient between the ASI-3 total score and STAI total score was .59.

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Titel: A Bifactor Model of Anxiety Sensitivity: Analysis of the Anxiety Sensitivity Index-3
Auteurs: Chad Ebesutani
Alison C. McLeish
Christina M. Luberto
John Young
Danielle J. Maack
Publicatiedatum: 01-09-2014
Uitgeverij: Springer US
Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment / Uitgave 3/2014
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI: https://doi.org/10.1007/s10862-013-9400-3

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