Skip to main navigation Skip to search Skip to main content

Taxometric and factor analytic models of anxiety sensitivity: Integrating approaches to latent structural research

  • Amit Bernstein
  • , Michael J. Zvolensky
  • , Peter J. Norton
  • , Norman B. Schmidt
  • , Steven Taylor
  • , John P. Forsyth
  • , Sarah F. Lewis
  • , Matthew T. Feldner
  • , Ellen W. Leen-Feldner
  • , Sherry H. Stewart
  • , Brian Cox

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This study represents an effort to better understand the latent structure of anxiety sensitivity (AS), as indexed by the 16-item Anxiety Sensitivity Index (ASI; S. Reiss, R. A. Peterson, M. Gursky, & R. J. McNally, 1986), by using taxometric and factor-analytic approaches in an integrative manner. Taxometric analyses indicated that AS has a taxonic latent class structure (i.e., a dichotomous latent class structure) in a large sample of North American adults (N = 2,515). As predicted, confirmatory factor analyses indicated that a multidimensional 3-factor model of AS provided a good fit for the AS complement class (normative or low-risk form) but not the AS taxon class (high-risk form). Exploratory factor analytic results suggested that the AS taxon may demonstrate a unique, unidimensional factor solution, though there are alternative indications that it may be characterized by a 2-factor solution. Findings suggest that the latent structural nature of AS can be conceptualized as a taxonic latent class structure composed of 2 types or forms of AS, each of these forms characterized by its own unique latent continuity and dimensional structure.
Original languageEnglish
Pages (from-to)74-87
Number of pages14
JournalPsychological Assessment
Volume19
Issue number1
DOIs
Publication statusPublished - 2007
Externally publishedYes

Fingerprint

Dive into the research topics of 'Taxometric and factor analytic models of anxiety sensitivity: Integrating approaches to latent structural research'. Together they form a unique fingerprint.

Cite this