A Confirmatory Factor Analysis Approach to Test Anxiety

Peter F. Halpin, Cibele da-Silva, Paul De Boeck

Research output: Contribution to journalArticle

Abstract

This article addresses the role of test anxiety in aptitude testing. Our approach is rooted in confirmatory factor analysis (CFA). We find that the usual parameter constraints used for model identification in CFA have nontrivial implications for the effects of interest. We suggest 2 methods for dealing with this identification problem. First, we consider testable parameter constraints that identify the proposed model. Second, we consider structural relations that do not depend on model identification. In particular we derive the partial factor correlation between a test and an external variable, conditional on test anxiety, and show that this correlation (a) is not affected by the choice of model identification constraints, and (b) can be estimated using true score theory.

Original languageEnglish (US)
Pages (from-to)455-467
Number of pages13
JournalStructural Equation Modeling
Volume21
Issue number3
DOIs
StatePublished - 2014

Fingerprint

Confirmatory Factor Analysis
Anxiety
Model Identification
Factor analysis
factor analysis
anxiety
Identification (control systems)
Identification Problem
aptitude
Partial
Testing
Confirmatory factor analysis
Model

Keywords

  • confirmatory factor analysis
  • model identification
  • partial correlation
  • test anxiety

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Modeling and Simulation
  • Sociology and Political Science
  • Economics, Econometrics and Finance(all)

Cite this

A Confirmatory Factor Analysis Approach to Test Anxiety. / Halpin, Peter F.; da-Silva, Cibele; De Boeck, Paul.

In: Structural Equation Modeling, Vol. 21, No. 3, 2014, p. 455-467.

Research output: Contribution to journalArticle

Halpin, Peter F. ; da-Silva, Cibele ; De Boeck, Paul. / A Confirmatory Factor Analysis Approach to Test Anxiety. In: Structural Equation Modeling. 2014 ; Vol. 21, No. 3. pp. 455-467.
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