Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Structural equation models in medical research.

P M Bentler1, J A Stein

  • 1Department of Psychology, University of California, Los Angeles 90024-1563.

Statistical Methods in Medical Research
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Highlighting the need for prospective randomized studies on the management of dysplastic naevi.

The British journal of dermatology·2018
Same author

The role of access to care in acral lentiginous melanoma survival.

The British journal of dermatology·2017
Same author

Invariant Standardized Estimated Parameter Change for Model Modification in Covariance Structure Analysis.

Multivariate behavioral research·2016
Same author

A NEW MATRIX FOR THE ASSESSMENT OF FACTOR CONTRIBUTIONS.

Multivariate behavioral research·2016
Same author

Brief Report: An Additional Minimal Transformation To Orthonormality.

Multivariate behavioral research·2016
Same author

The Relationship Of Personality Structure To Patterns Of Adolescent Substance Use.

Multivariate behavioral research·2016
Same journal

A joint model for a longitudinal outcome and a progressive multistate model under a mixed observation scheme.

Statistical methods in medical research·2026
Same journal

Efficient semi-supervised estimation of optimal individualized treatment regimes with survival outcome.

Statistical methods in medical research·2026
Same journal

Asymptotic online FWER control for dependent test statistics.

Statistical methods in medical research·2026
Same journal

Regression analysis of misclassified current status data with potentially unknown test accuracy.

Statistical methods in medical research·2026
Same journal

Bayesian multivariate linear mixed-effects models with varied association structures.

Statistical methods in medical research·2026
Same journal

Inference about the ratio of age-standardized rates between two overlapping populations.

Statistical methods in medical research·2026
See all related articles

Structural Equation Modeling (SEM) statistically evaluates causal hypotheses using complex data. This review details SEM

Area of Science:

  • Statistics
  • Biostatistics
  • Psychometrics

Background:

  • Structural Equation Modeling (SEM) is a statistical technique for hypothesis testing.
  • It analyzes intercorrelated nonexperimental data to evaluate causal relationships.
  • SEM compares model-predicted data with empirical variances, covariances, and means.

Purpose of the Study:

  • To review the statistical theory and rationale behind SEM.
  • To discuss confirmatory factor analysis and latent variable path models.
  • To highlight SEM's application in assessing reliability and validity.

Main Methods:

  • Description of the underlying statistical theory of SEM.
  • Discussion of confirmatory factor analysis and latent variable path models.

Related Experiment Videos

  • Presentation of a detailed SEM example and review of medical literature applications.

    • Main Results:

    • SEM provides a framework for evaluating causal hypotheses with observational data.
    • The technique allows for statistical assessment of model fit to empirical data.
    • SEM is applicable to evaluating measurement reliability and construct validity.

    Conclusions:

    • SEM is a powerful tool for causal inference in various research fields.
    • Understanding SEM's methodology is crucial for accurate interpretation.
    • Future directions suggest expanded use of SEM in medical research.