Revisiting the latent structure of eating disorders: Taxometric analyses with nonbehavioral indicators

被引:34
作者
Tylka, TL
Subich, LM
机构
[1] Ohio State Univ, Dept Psychol, Marion, OH 43302 USA
[2] Univ Akron, Dept Psychol, Akron, OH 44325 USA
关键词
D O I
10.1037/0022-0167.50.3.276
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Researchers have debated whether clinical eating disorders are best conceptualized as one extreme along a continuum of degree or as qualitatively different from less severe eating disturbances. Taxometric analysis, a set of procedures that assess the structure of a given disorder by detecting whether a latent taxon exists among its indicators, has just begun to be applied to eating disorder research. Its application to this domain may clarify whether eating disorders best conform to a dimensional (i.e., continuum) or taxonic model. The latent structure of eating disorders was examined in a sample of 532 college women by using 2 popular taxometric procedures (i.e., maximum covariance analysis and latent mode analysis) with 5 nonbehavioral indicators of eating disorder symptomatology. Results across procedures suggest that the data are more indicative of a dimensional solution, as no latent taxon was uncovered.
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页码:276 / 286
页数:11
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