Formulating Clinical Research Hypotheses as Structural Equation Models: A Conceptual Overview

Rick H. Hoyle, Gregory T. Smith

Research output: Contribution to journalArticlepeer-review

568 Scopus citations

Abstract

Structural equation modeling is a comprehensive, flexible approach to research design and data analysis. Although in recent years there has been phenomenal growth in the literature on technical aspects of structural equation modeling, relatively little attention has been devoted to conceiving research hypotheses as structural equation models. The aim of this article is to provide a conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.

Original languageEnglish
Pages (from-to)429-440
Number of pages12
JournalJournal of Consulting and Clinical Psychology
Volume62
Issue number3
DOIs
StatePublished - Jun 1994

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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