Evaluating causal models: An application of maximum-likelihood analysis of structural equations

Geoffrey M Maruyama, Bill McGarvey

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

Describes how causal modeling techniques can be improved through the use of maximum-likelihood analysis of structural equations. Within the context of scholastic achievement, the logic of applying this approach to causal modeling studies is presented, and the advantages of such an approach are elaborated. As a demonstration, a computer program called Linear Structural Relations, appropriate for causal modeling techniques, is used to analyze data that explore hypothesized causal relations between peer acceptance and classroom achievement. (28 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved).

Original languageEnglish (US)
Pages (from-to)502-512
Number of pages11
JournalPsychological Bulletin
Volume87
Issue number3
DOIs
StatePublished - May 1 1980

Keywords

  • maximum likelihood analysis of structural equations, evaluation of causal models

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