首页 | 本学科首页   官方微博 | 高级检索  
     


Taxometric and factor analytic models of anxiety sensitivity: Integrating approaches to latent structural research.
Authors:Bernstein, Amit   Zvolensky, Michael J.   Norton, Peter J.   Schmidt, Norman B.   Taylor, Steven   Forsyth, John P.   Lewis, Sarah F.   Feldner, Matthew T.   Leen-Feldner, Ellen W.   Stewart, Sherry H.   Cox, Brian
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. (PsycINFO Database Record (c) 2011 APA, all rights reserved)
Keywords:anxiety sensitivity   taxometrics   factor analysis   anxiety disorders
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号