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Oliver Lüdtke Alexander Robitzsch Stephen G. West 《Multivariate behavioral research》2020,55(3):361-381
AbstractWhen estimating multiple regression models with incomplete predictor variables, it is necessary to specify a joint distribution for the predictor variables. A convenient assumption is that this distribution is a multivariate normal distribution, which is also the default in many statistical software packages. This distribution will in general be misspecified if predictors with missing data have nonlinear effects (e.g., x2) or are included in interaction terms (e.g., x·z). In the present article, we introduce a factored regression modeling approach for estimating regression models with missing data that is based on maximum likelihood estimation. In this approach, the model likelihood is factorized into a part that is due to the model of interest and a part that is due to the model for the incomplete predictors. In three simulation studies, we showed that the factored regression modeling approach produced valid estimates of interaction and nonlinear effects in regression models with missing values on categorical or continuous predictor variables under a broad range of conditions. We developed the R package mdmb, which facilitates a user-friendly application of the factored regression modeling approach, and present a real-data example that illustrates the flexibility of the software. 相似文献
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Luc Watrin Lucas Weihrauch Oliver Wilhelm 《International Journal of Selection & Assessment》2023,31(2):286-301
A key finding in personnel selection is the positive correlation between conscientiousness and job performance. Evidence predominantly stems from concurrent validation studies with incumbent samples but is readily generalized to predictive settings with job applicants. This is problematic because the extent to which faking and changes in personality affect the measurement likely vary across samples and study designs. Therefore, we meta-analytically investigated the relation between conscientiousness and job performance, examining the moderating effects of sample type (incumbent vs. applicant) and validation design (concurrent vs. predictive). The overall correlation of conscientiousness and job performance was in line with previous meta-analyses (). In our analyses, the correlation did not differ across validation designs (concurrent: ; predictive: ), sample types (incumbents: ; applicants: ), or their interaction. Critically, however, our review revealed that only a small minority of studies (~12%) were conducted with real applicants in predictive designs. Thus, barely a fraction of research is conducted under realistic conditions. Therefore, it remains an open question if self-report measures of conscientiousness retain their predictive validity in applied settings that entail faked responses. We conclude with a call for more multivariate research on the validity of selection procedures in predictive settings with actual applicants. 相似文献
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Personality development research heavily relies on the comparison of scale means across age. This approach implicitly assumes that the scales are strictly measurement invariant across age. We questioned this assumption by examining whether appropriate personality indicators change over the lifespan. Moreover, we identified which types of items (e.g. dispositions, behaviours, and interests) are particularly prone to age effects. We reanalyzed the German Revised NEO Personality Inventory normative sample (N = 11,724) and applied a genetic algorithm to select short scales that yield acceptable model fit and reliability across locally weighted samples ranging from 16 to 66 years of age. We then examined how the item selection changes across age points and item types. Emotion‐type items seemed to be interchangeable and generally applicable to people of all ages. Specific interests, attitudes, and social effect items—most prevalent within the domains of Extraversion, Agreeableness, and Openness—seemed to be more prone to measurement variations over age. A large proportion of items were systematically discarded by the item‐selection procedure, indicating that, independent of age, many items are problematic measures of the underlying traits. The implications for personality assessment and personality development research are discussed. © 2019 European Association of Personality Psychology 相似文献
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