Literature DB >> 17012524

Structural equation modeling for conducting tests of differences in multiple means.

Samuel B Green1, Marilyn S Thompson.   

Abstract

Multivariate methods for analyzing group differences in means on dependent variables include multivariate analysis of variance, discriminant analysis, and multivariate analysis of factor means. To make appropriate choices among these methods, researchers should understand the statistical models underlying them. We present these models using path diagrams within a structural equation modeling framework. Results for the different methods are presented for an example concerning coping with asthma.

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Year:  2006        PMID: 17012524     DOI: 10.1097/01.psy.0000237859.06467.ab

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   4.312


  3 in total

1.  A brief image-based prevention intervention for adolescents.

Authors:  Chudley E Chad Werch; Hui Bian; Carlo C Diclemente; Michelle J Moore; Dennis Thombs; Steven C Ames; I-Chan Huang; Steven Pokorny
Journal:  Psychol Addict Behav       Date:  2010-03

2.  Statistical Power of Alternative Structural Models for Comparative Effectiveness Research: Advantages of Modeling Unreliability.

Authors:  Emil N Coman; Eugen Iordache; Lisa Dierker; Judith Fifield; Jean J Schensul; Suzanne Suggs; Russell Barbour
Journal:  J Mod Appl Stat Methods       Date:  2014-05-01

3.  Interpersonal problems in social anxiety disorder across different relational contexts.

Authors:  Natasha A Tonge; Michelle H Lim; Marilyn L Piccirillo; Katya C Fernandez; Julia K Langer; Thomas L Rodebaugh
Journal:  J Anxiety Disord       Date:  2020-07-30
  3 in total

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