In this paper, we study the relation between within-person variability in personality (the extent to which one changes in personality across situations) and career adaptability.
In this paper, we propose to generalize the use of Nested Logit Models and implement its use for online personnel selection procedures that use reasoning tests with multiple choices (e.g., matrix-type tests). We find that using such models results in gains of reliability, especially at low ability levels.
In this paper, we propose the use of the last series of the last series of the Standard Progressive Matrices (SPM-LS) as a viable snapshot measure of g. We provide an extensive Item-Response Theory (IRT) analysis of the instrument, based on the binary (pass/fail) and nominal (response categories) data.
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