Literature DB >> 26765135

Testing Specific Hypotheses Concerning Latent Group Differences in Multi-group Covariance Structure Analysis with Structured Means.

C V Dolan, P C Molenaar.   

Abstract

This article concerns multi-group covariance structure analysis with structured means. The traditional latent selection model is formulated as a special case of phenotypic selection, that is, selection based not on latent variables, but on observed variables. This formulation has the advantage that it enables one to test very specific hypotheses concerning selection on latent variables. Illustrations are given using simulated and real data.

Year:  1994        PMID: 26765135     DOI: 10.1207/s15327906mbr2903_1

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  2 in total

1.  Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules.

Authors:  C V Dolan; P C Molenaar; D I Boomsma
Journal:  Behav Genet       Date:  1994-01       Impact factor: 2.805

2.  Using confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).

Authors:  Thomas M Atkinson; Barry D Rosenfeld; Laura Sit; Tito R Mendoza; Mike Fruscione; Dawn Lavene; Mary Shaw; Yuelin Li; Jennifer Hay; Charles S Cleeland; Howard I Scher; William S Breitbart; Ethan Basch
Journal:  J Pain Symptom Manage       Date:  2010-12-04       Impact factor: 3.612

  2 in total

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