In this paper, we study how within-person variability (the tendency of a person to vary in personality) predicts success in negotiations.
In this paper, using log-normal Item-Response Theory models for response time data, we study how personality traits predict response speed trajectories in low-stakes reasoning tasks. We found that some traits are associated with increasing in speed vs. decreasing in speed, controlling for item effects.
In this paper, we introduce new psychometric models for count/fluency tasks (tasks in which individuals have to provide many instances). Notably, we extent the Rasch Poisson Counts Model (RPCM) to account for variable discrimination (2-Parameter Poisson Counts Model) and to account for local dependencies/nuisance factors (Bifactor 2-Parameter Poisson Counts Model).
In this paper, we provide a meta-analysis of correlations between (un)ethical behavior and creativity, notably controlling for how the constructs were measured – which, as it turns out, is important when considering the heterogeneity of the findings.
In this paper, I reanalyze a dataset for a special issue of Journal of Intelligence. The analysis uses the framework of Mokken Scale Analysis (MSA), which is a non-parametric approach to relations between item responses and attributes (i.e. Item-Response Theory).
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