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Transient error or specificity? An alternative to the staggered equivalent split-half procedure.

Stéphane Vautier1, Saïd Jmel

  • 1Centre d'Etude et de Recherche en Psychopathologie, Université de Toulouse Le Mirail, France. vautier@univ-tlse2.fr

Psychological Methods
|August 20, 2003
PubMed
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This study compares two reliability coefficients for psychological measures. The model-based specificity and consistency coefficients offer a testable alternative to data-based staggered equivalent split-half procedure coefficients.

Area of Science:

  • Psychometrics
  • Psychological Measurement
  • Statistical Modeling

Background:

  • Traditional reliability coefficients like coefficient alpha can be influenced by transient error.
  • Existing methods for assessing reliability include data-based procedures like the staggered equivalent split-half procedure (SESHP).
  • Model-based approaches offer alternative frameworks for estimating reliability.

Purpose of the Study:

  • To compare data-based reliability coefficients (SESHP) with model-based coefficients (specificity and consistency) from latent state-trait models (LSTM).
  • To evaluate the utility of specificity and consistency coefficients as a testable alternative to SESHP.
  • To explore the modeling and estimation of state residual variance within the LSTM framework.

Main Methods:

Related Experiment Videos

  • Comparison of G. Becker's (2000) SESHP coefficients with R. Steyer et al.'s (1999) LSTM-based specificity and consistency coefficients.
  • Application of both approaches to State-Trait Anxiety Inventory data collected on two occasions from French adults.
  • Theoretical and empirical analyses to evaluate the proposed reliability coefficients.

    • Main Results:

    • Specificity and consistency coefficients derived from LSTM provide a viable alternative to SESHP coefficients.
    • The LSTM framework allows for the modeling and estimation of dynamics in state residual variance.
    • Empirical data supported the theoretical advantages of the model-based approach.

    Conclusions:

    • Model-based reliability coefficients (specificity and consistency) offer a robust and testable alternative to traditional data-based methods.
    • Latent state-trait modeling provides a powerful tool for understanding the structure and dynamics of psychological constructs.
    • The findings have implications for the accurate assessment of state and trait anxiety and other psychological measures.