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Anzahl der Publikationen: 11
Zeitschriftenartikel
Goretzko, David 
ORCID: https://orcid.org/0000-0002-2730-6347; Siemund, Karik und Sterner, Philipp ORCID: https://orcid.org/0000-0002-8856-4868
(2023):
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis.
In: Educational and Psychological Measurement [Forthcoming]
ORCID: https://orcid.org/0000-0002-2730-6347; Siemund, Karik und Sterner, Philipp ORCID: https://orcid.org/0000-0002-8856-4868
(2023):
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis.
In: Educational and Psychological Measurement [Forthcoming]
Pargent, Florian; Goretzko, David und von Oertzen, Timo
(2023):
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.
In: Journal of the Royal Statistical Society Series B: Statistical Methodology, Bd. 85, Nr. 4: S. 1087-1088
Goretzko, David ORCID: https://orcid.org/0000-0002-2730-6347 und Bühner, Markus
(2022):
Factor Retention Using Machine Learning With Ordinal Data.
In: Applied Psychological Measurement, Bd. 46, Nr. 5: S. 406-421
[PDF, 853kB]
ORCID: https://orcid.org/0000-0002-2730-6347 und Bühner, Markus
(2022):
Factor Retention Using Machine Learning With Ordinal Data.
In: Applied Psychological Measurement, Bd. 46, Nr. 5: S. 406-421
[PDF, 853kB]
Linden, Michael; Linden, Ulrike; Goretzko, David und Gensichen, Jochen
(2022):
Prevalence and pattern of acute and chronic multimorbidity across all body systems and age groups in primary health care.
In: Scientific Reports, Bd. 12, Nr. 1, 272
Goretzko, David ORCID: https://orcid.org/0000-0002-2730-6347
(2021):
Factor Retention in Exploratory Factor Analysis With Missing Data.
In: Educational and Psychological Measurement, Bd. 82, Nr. 3: S. 444-464
[PDF, 198kB]
ORCID: https://orcid.org/0000-0002-2730-6347
(2021):
Factor Retention in Exploratory Factor Analysis With Missing Data.
In: Educational and Psychological Measurement, Bd. 82, Nr. 3: S. 444-464
[PDF, 198kB]
Goretzko, David ORCID: https://orcid.org/0000-0002-2730-6347 und Bühner, Markus
(2021):
Robustness of factor solutions in exploratory factor analysis.
In: Behaviormetrika
[PDF, 874kB]
ORCID: https://orcid.org/0000-0002-2730-6347 und Bühner, Markus
(2021):
Robustness of factor solutions in exploratory factor analysis.
In: Behaviormetrika
[PDF, 874kB]
Goretzko, David und Finja Israel, Laura Sophia
(2021):
Pitfalls of Machine Learning-Based Personnel Selection Fairness, Transparency, and Data Quality.
In: Journal of Personnel Psychology, Bd. 21, Nr. 1: S. 37-47
Goretzko, David; Pham, Trang Thien Huong und Bühner, Markus
(2021):
Exploratory factor analysis: Current use, methodological developments and recommendations for good practice.
In: Current Psychology, Bd. 40, Nr. 7: S. 3510-3521
Goretzko, David; Heumann, Christian und Bühner, Markus
(August 2020):
Investigating Parallel Analysis in the Context of Missing Data. A Simulation Study Comparing Six Missing Data Methods.
In: Educational and Psychological Measurement, Bd. 80, Nr. 4: S. 756-774
Goretzko, David und Bühner, Markus
(März 2020):
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.
In: Psychological Methods, Bd. 5
Goretzko, David; Pargent, Florian; Sust, Larissa N. N. und Bühner, Markus
(2020):
Not Very Powerful The Influence of Negations and Vague Quantifiers on the Psychometric Properties of Questionnaires.
In: European Journal of Psychological Assessment, Bd. 36, Nr. 4: S. 563-572