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Evaluating measurement models in clinical research: covariance structure analysis of latent variable models of self-conception.

Publication ,  Journal Article
Hoyle, RH
Published in: Journal of consulting and clinical psychology
February 1991

Indirect measures of psychological constructs are vital to clinical research. On occasion, however, the meaning of indirect measures of psychological constructs is obfuscated by statistical procedures that do not account for the complex relations between items and latent variables and among latent variables. Covariance structure analysis (CSA) is a statistical procedure for testing hypotheses about the relations among items that indirectly measure a psychological construct and relations among psychological constructs. This article introduces clinical researchers to the strengths and limitations of CSA as a statistical procedure for conceiving and testing structural hypotheses that are not tested adequately with other statistical procedures. The article is organized around two empirical examples that illustrate the use of CSA for evaluating measurement models with correlated error terms, higher-order factors, and measured and latent variables.

Duke Scholars

Published In

Journal of consulting and clinical psychology

DOI

EISSN

1939-2117

ISSN

0022-006X

Publication Date

February 1991

Volume

59

Issue

1

Start / End Page

67 / 76

Related Subject Headings

  • Software
  • Self Concept
  • Research Design
  • Regression Analysis
  • Psychotherapy
  • Personality Inventory
  • Models, Statistical
  • Male
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hoyle, R. H. (1991). Evaluating measurement models in clinical research: covariance structure analysis of latent variable models of self-conception. Journal of Consulting and Clinical Psychology, 59(1), 67–76. https://doi.org/10.1037//0022-006x.59.1.67
Hoyle, R. H. “Evaluating measurement models in clinical research: covariance structure analysis of latent variable models of self-conception.Journal of Consulting and Clinical Psychology 59, no. 1 (February 1991): 67–76. https://doi.org/10.1037//0022-006x.59.1.67.
Hoyle, R. H. “Evaluating measurement models in clinical research: covariance structure analysis of latent variable models of self-conception.Journal of Consulting and Clinical Psychology, vol. 59, no. 1, Feb. 1991, pp. 67–76. Epmc, doi:10.1037//0022-006x.59.1.67.

Published In

Journal of consulting and clinical psychology

DOI

EISSN

1939-2117

ISSN

0022-006X

Publication Date

February 1991

Volume

59

Issue

1

Start / End Page

67 / 76

Related Subject Headings

  • Software
  • Self Concept
  • Research Design
  • Regression Analysis
  • Psychotherapy
  • Personality Inventory
  • Models, Statistical
  • Male
  • Humans
  • Female