Examination of relationships among trait-like individual differences, state-like individual differences, and learning performance.

Chen, Gilad, Gully, Stanley M., Whiteman, Jon-Andrew, Kilcullen, Robert N.·2000·Journal of Applied Psychology

Abstract

Several authors (e.g., J.T. Austin & H.J. Klein, 1996; R. Kanfer, 1990b, 1992) have urged researchers to examine comprehensive models of distal individual differences as predictors of proximal motivational processes and performance. Two field studies in an academic setting tested a model of relationships among trait-like individual differences (cognitive ability, general self-efficacy, and goal orientation), state-like individual differences (state anxiety, task-specific self-efficacy, and goals), and learning performance. Most hypothesized relationships among these constructs received support when tested on 2 samples, when examining different performance episodes, and when using different goal orientation and state-anxiety measures. In general, state-like individual differences were found to mediate the relationships between trait-like individual differences and learning performance. Implications of these results are discussed and suggestions for future research are provided.

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  3. Modeling the antecedents of proactive behavior at work.
    Parker, Sharon K., Williams, Helen M., Turner, Nick · 2006 · Journal of Applied Psychology
  4. A meta-analytic examination of the goal orientation nomological net.
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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Examination of relationships among trait-like individual differences, state-like individual differences, and learning performance. https://app.cochat.ai/papers/10.1037//0021-9010.85.6.835
The paper
Chen, G., Gully, S. M., Whiteman, J.-A., & Kilcullen, R. N. (2000). Examination of relationships among trait-like individual differences, state-like individual differences, and learning performance. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.85.6.835

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.