No abstract

No abstract

The impact of socially desirable responding or faking on noncognitive assessments remains an issue of strong debate. One of the main reasons for the controversy is the lack of a statistical method to model such response sets. This article introduces a new way to model faking based on the assumption that faking occurs due to an interaction between person and situation. The technique combines a control group design with structural equation modeling and allows a separation of trait and faking variance. The model is introduced and tested in an example. The results confirm a causal influence of faking on means and covariance structure of a Big 5 questionnaire. Both effects can be reversed by the proposed model. Finally, a real-life criterion was implemented and predicted by both variance sources. In this example, it was the trait but not the faking variance that was predictive. Implications for research and practice are discussed.

No abstract

The aim of this study was to confirm that coordination and storage in the context of processing are significant predictors of reasoning even if crystallized intelligence is controlled for. It was also expected that sustained attention and coordination would be highly correlated. Therefore, 20 working memory tests, 2 attention tests, and 18 intelligence subtests were administered to 121 students. We were able to replicate results indicating that storage in the context of processing and coordination are significant predictors of reasoning. Controlling for crystallized intelligence did not decrease the common variance between working memory and reasoning. The study also revealed that the factors coordination and sustained attention were highly correlated. Finally, a model is presented with the latent variables speed and g, which can explain almost all of the common variance of the applied aggregates. A detailed discussion of the results supports the view that working memory and intelligence share about 70% of the common variance.