Nils Myszkowski

Affiliations: 
Pace University, New York, NY, United States 
Area:
Psychometrics, Personality, Creativity
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"Nils Myszkowski"
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Publications

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Myszkowski N, Storme M. (2024) Modeling Sequential Dependencies in Progressive Matrices: An Auto-Regressive Item Response Theory (AR-IRT) Approach. Journal of Intelligence. 12
Myszkowski N, Zenasni F. (2020) Using Visual Aesthetic Sensitivity Measures in Museum Studies. Frontiers in Psychology. 11: 414
Myszkowski N, Çelik P, Storme M. (2020) Commentary on Corradi et al.'s (2019) new conception of aesthetic sensitivity: Is the ability conception dead? British Journal of Psychology (London, England : 1953). 111: 659-662
Storme M, Celik P, Myszkowski N. (2020) A forgotten antecedent of career adaptability: A study on the predictive role of within-person variability in personality Personality and Individual Differences. 160: 109936
Brunet-Gouet E, Myszkowski N, Ehrminger M, et al. (2019) Confirmation of a Two-Factor Solution to the Questionnaire of Cognitive and Affective Empathy in a French Population of Patients With Schizophrenia Spectrum Disorders. Frontiers in Psychiatry. 10: 751
Storme M, Myszkowski N, Baron S, et al. (2019) Same Test, Better Scores: Boosting the Reliability of Short Online Intelligence Recruitment Tests with Nested Logit Item Response Theory Models. Journal of Intelligence. 7
Myszkowski N, Storme M, Tavani JL. (2019) Are reflective models appropriate for very short scales? Proofs of concept of formative models using the Ten-Item Personality Inventory. Journal of Personality. 87: 363-372
Myszkowski N, Storme M. (2019) Judge response theory? A call to upgrade our psychometrical account of creativity judgments. Psychology of Aesthetics, Creativity, and the Arts. 13: 167-175
Myszkowski N, Çelik P, Storme M. (2018) A meta-analysis of the relationship between intelligence and visual “taste” measures. Psychology of Aesthetics, Creativity, and the Arts. 12: 24-33
Myszkowski N, Storme M. (2018) A snapshot of g ? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS) Intelligence. 68: 109-116
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