Paul Lodder has been honored with the 2020 Elsevier & EAPM Young Investigators Award. Congratulations!
Work Synopsis:
Type D personality, a combination of the two personality traits negative affectivity (NA) and social inhibition (SI), has been associated with various medical and psychosocial outcomes. Type D effects can be analyzed according to several methods. In this study, a computer simulation revealed that classifying people in personality groups produced false positive Type D effects when only one of the underlying personality traits (NA or SI) was related to an outcome. This problem did not occur when modeling Type D using the continuous NA and SI scores. Reanalysis of two published studies showed that significant Type D effects based on personality groups were no longer significant when using the continuous method. These findings suggest that all reported Type D effects based on personality groups should be reconsidered using the continuous method.
Paul Lodder is a PhD candidate at Tilburg University, the Netherlands. His dissertation is a collaboration between the Department of Methodology and Statistics and the Center of Research on Psychological and Somatic disorders. This interdisciplinary research focuses on methodological issues in research on Type D personality. Apart from his own research, Paul works as a statistical consultant for the Department of Medical and Clinical Psychology. His research interests include personality, cardiovascular disease, psychometrics, meta-analysis, and longitudinal data analysis. He has published on these issues in journals like The British Medical Journal, Scientific Reports, The Journal of Experimental Psychology: General, The Journal of Psychosomatic Research, and Multivariate Behavioral Research.
Please read more about his work here in the Editor’s choice June 2020
