David Goretzko
David Goretzko
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Exploratory factor analysis: Current use, methodological developments and recommendations for good practice
D Goretzko, TTH Pham, M Bühner
Current Psychology 40 (7), 3510-3521, 2021
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
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
Robustness of factor solutions in exploratory factor analysis
D Goretzko, M Bühner
Behaviormetrika 49 (1), 131-148, 2022
Not very powerful
D Goretzko, F Pargent, LNN Sust, M Bühner
European Journal of Psychological Assessment, 2019
Pitfalls of Machine Learning-Based Personnel Selection
D Goretzko, LSF Israel
Journal of Personnel Psychology, 2021
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
Factor retention in exploratory factor analysis with missing data
D Goretzko
Educational and Psychological Measurement 82 (3), 444-464, 2022
Factor retention using machine learning with ordinal data
D Goretzko, M Bühner
Applied Psychological Measurement, 01466216221089345, 2022
Everything has its price: Foundations of cost-sensitive learning and its application in psychology
P Sterner, D Goretzko, F Pargent
PsyArXiv, 2021
Note: Machine Learning Modeling and Optimization Techniques in Psychological Assessment
D Goretzko, M Bühner
Psychological Test and Assessment Modeling 64 (1), 3-21, 2022
Factor retention revised: analyzing current practice and developing new methods
D Goretzko
lmu, 2020
Investigating target ballistic characteristics of conventional and alternative shotgun ammunition for the applicability in hunting.
J Fäth, D Goretzko, F Pargent, M Gessinger, W Pfeiffer, L Brack, T Liu, ...
Allgemeine Forst-und Jagdzeitung 189 (9/10), 161-172, 2018
Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates
P Sterner, D Goretzko
PsyArXiv, 2022
The confidence/significance level implies a certain cost ratio between type I error and type II error: For a stronger focus on decision theory in psychological assessment-Das …
P Sterner, B Friemelt, D Goretzko, EB Kraus, M Bühner, F Pargent
PsyArXiv, 2022
New Insights into PCA+ Varimax for Psychological Researchers: A short commentary on Rohe & Zeng (2022)
F Pargent, D Goretzko, T von Oertzen
PsyArXiv, 2022
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), 1-8, 2022
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
The 95%-CI decision rule in psychological assessment from a decision theoretic perspective
F Pargent, D Goretzko, B Friemelt
Experiences & Tools
L Antichi, D Goretzko, M Giannini, MS Colombarolli, FM Koich, L Giromini, ...
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