Conceptual and methodological complexity of narrow trait measures in personality-outcome research: Better knowledge by partitioning variance from multiple latent traits and measurement artifacts

Ones, D. S., Wiernik, B. M., Wilmot, M. P., & Kostal, J. W.
European Journal of Personality, 30(4), 319-321
(2016) http://doi.org/10/bp27

Increased conceptual clarity and methodological rigor is needed in personality-outcome research. We describe the hierarchical nature of personality, with implications for prediction and explanation. Latent traits exist at all levels of the hierarchy. Traits should not be confused with their measures. Attention to criteria to be predicted is essential. Measurement error arising from raters, measures, and assessment occasions should be controlled before bi-factor modeling can separate sources of associated variance. We illustrate these points using meta-analytic data to estimate variance sources in typical other-rated Achievement items and scales.

Downloadable file includes online supplement
Ones, D. S., Wiernik, B. M., Wilmot, M. P., & Kostal, J. W. (2016). Online supplement to Ones, D. S., Wiernik, B. M., Wilmot, M. P., & Kostal, J. W. (2016). Conceptual and methodological complexity of narrow trait measures in personality-outcome research: Better knowledge by partitioning variance from multiple latent traits and measurement artifacts. European Journal of Personality, 30(4), 304–340. http://doi.org/10/bp27. figshare. http://doi.org/10/bp28