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Structural Equation Modeling for Conducting Tests of Differences in Multiple Means

Bibliographic Data

ID19306642
AuthorsSamuel B Green (0000-0002-6136-6204, Arizona State University, corresponding author), Marilyn S Thompson (0000-0002-4419-6290)
Year2006
Volume68
Issue5
Pages706-717
Publication date2006-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychosomatic Medicine (JOURNAL)
Journal identifiersISSN: 0033-3174 • E-ISSN: 1534-7796
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.psy.0000237859.06467.ab
PMID17012524
OpenAlexW2073836348
LanguageEN
Citations received5
References cited15

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. ANOVA = analysis of variance; MANOVA = multivariate analysis of variance; SEM = structural equation modeling; MIMIC = multiple-indicator, multiple-cause; RMSEA = root mean square error of approximation

Analysis of variance · Econometrics · Multivariate analysis · Multivariate analysis of variance · Multivariate statistics · Path analysis (statistics) · Path coefficient · Statistics · Structural equation modeling · Variance (accounting) · Advanced Statistical Modeling Techniques · Mathematics · Psychometric Methodologies and Testing · Statistical Methods and Applications

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Unique citing works5
Citations per year0,28
Citation span2008 - 2026 (19)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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