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David Goretzko
David Goretzko
Bestätigte E-Mail-Adresse bei uu.nl
Titel
Zitiert von
Zitiert von
Jahr
Exploratory factor analysis: Current use, methodological developments and recommendations for good practice
D Goretzko, TTH Pham, M Bühner
Current psychology 40, 3510-3521, 2021
4672021
Evaluating model fit of measurement models in confirmatory factor analysis
D Goretzko, K Siemund, P Sterner
Educational and Psychological Measurement 84 (1), 123-144, 2024
752024
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.
D Goretzko, M Bühner
Psychological Methods 25 (6), 776, 2020
482020
Machine learning for the educational sciences
S Hilbert, S Coors, E Kraus, B Bischl, A Lindl, M Frei, J Wild, S Krauss, ...
Review of Education 9 (3), 2021
422021
Pitfalls of machine learning-based Personnel Selection
D Goretzko, LSF Israel
Journal of Personnel Psychology, 2021
352021
Investigating parallel analysis in the context of missing data: a simulation study comparing six missing data methods
D Goretzko, C Heumann, M Bühner
Educational and Psychological Measurement 80 (4), 756-774, 2020
272020
Factor retention using machine learning with ordinal data
D Goretzko, M Bühner
Applied Psychological Measurement 46 (5), 406-421, 2022
202022
Factor retention in exploratory factor analysis with missing data
D Goretzko
Educational and Psychological Measurement 82 (3), 444-464, 2022
192022
Everything has its price: Foundations of cost-sensitive learning and its application in psychology
P Sterner, D Goretzko, F Pargent
Psychological Methods (advance online publication), 2023
13*2023
Robustness of factor solutions in exploratory factor analysis
D Goretzko, M Bühner
Behaviormetrika 49 (1), 131-148, 2022
132022
Prevalence and pattern of acute and chronic multimorbidity across all body systems and age groups in primary health care
M Linden, U Linden, D Goretzko, J Gensichen
Scientific Reports 12 (1), 272, 2022
122022
Exploratory factor analysis trees: Evaluating measurement invariance between multiple covariates
P Sterner, D Goretzko
Structural Equation Modeling: A Multidisciplinary Journal 30 (6), 871-886, 2023
102023
The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysis
D Goretzko, J Ruscio
Behavior Research Methods 56 (3), 1838-1851, 2024
52024
Supporting return to work after psychiatric hospitalization–a cluster randomized study (RETURN-Study)
J Hamann, A Lang, L Riedl, D Blank, M Kohl, A Brucks, D Goretzko, ...
European Psychiatry, 1--21, 2023
42023
Not very powerful
D Goretzko, F Pargent, LNN Sust, M Bühner
European Journal of Psychological Assessment, 2019
42019
Note: Machine Learning Modeling and Optimization Techniques in Psychological Assessment
D Goretzko, M Bühner
Psychological Test and Assessment Modeling 64 (1), 3-21, 2022
32022
A Causal Framework for the Comparability of Latent Variables
P Sterner, F Pargent, D Deffner, D Goretzko
Structural Equation Modeling: A Multidisciplinary Journal, 1-12, 2024
22024
Regularized exploratory factor analysis as an alternative to factor rotation.
D Goretzko
European Journal of Psychological Assessment, 2023
22023
Assessing the dimensionality of a New Italian Covid-19 Conspiracy Beliefs Questionnaire.
L Antichi, D Goretzko, M Giannini
BPA-Applied Psychology Bulletin (Bollettino di Psicologia Applicata), 2022
22022
Florian Pargent, David Goretzko and Timo von Oertzen's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’by Rohe & Zeng
F Pargent, D Goretzko, T von Oertzen
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
12023
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