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The British Journal of Mathematical and Statistical Psychology
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September 14, 2022
Penalization approaches in the conditional maximum likelihood and Rasch modelling context
Can Gürer, Clemens Draxler
Behavior Research Methods
|
January 8, 2025
Testing measurement invariance in a conditional likelihood framework by considering multiple covariates simultaneously
Clemens Draxler, Andreas Kurz
Psychometrika
|
July 10, 2015
Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model
Clemens Draxler, Rainer W Alexandrowicz
Psychometrika
|
August 27, 2022
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT
Felix Zimmer, Clemens Draxler, Rudolf Debelak
Psychological Methods
|
August 17, 2011
Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices
Moritz Heene, Sven Hilbert, Clemens Draxler, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
The British Journal of Mathematical and Statistical Psychology
|
September 14, 2022
Penalization approaches in the conditional maximum likelihood and Rasch modelling context
Can Gürer, Clemens Draxler
Behavior Research Methods
|
January 8, 2025
Testing measurement invariance in a conditional likelihood framework by considering multiple covariates simultaneously
Clemens Draxler, Andreas Kurz
Psychometrika
|
July 10, 2015
Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model
Clemens Draxler, Rainer W Alexandrowicz
Psychometrika
|
August 27, 2022
Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT
Felix Zimmer, Clemens Draxler, Rudolf Debelak
Psychological Methods
|
August 17, 2011
Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices
Moritz Heene, Sven Hilbert, Clemens Draxler, et al.
Page
of 1