6 papers
Heterogeneous item populations across individuals: Consequences for the factor model, item inter-correlations, and scale validity
André Beauducel, Norbert Hilger
The paper is devoted to the consequences of blind random selection of items from different item populations that might be based on completely uncorrelated factors for item inter-co…
Score Predictor Factor Analysis as model for the identification of single-item indicators
André Beauducel, Norbert Hilger
Score Predictor Factor Analysis (SPFA) was introduced as a method that allows to compute factor score predictors that are -- under some conditions -- more highly correlated with th…
Score predictor factor analysis: Reproducing observed covariances by means of factor score predictors
André Beauducel, Norbert Hilger
The model implied by factor score predictors does not reproduce the non-diagonal elements of the observed covariance matrix as well as the factor loadings. It is therefore investig…
Varimax rotation based on gradient projection needs between 10 and more than 500 random start loading matrices for optimal performance
Anneke Cleopatra Weide, André Beauducel
Gradient projection rotation (GPR) is a promising method to rotate factor or component loadings by different criteria. Since the conditions for optimal performance of GPR-Varimax a…
On optimal allocation of treatment/condition variance in principal component analysis
André Beauducel, Norbert Hilger
The allocation of a (treatment) condition-effect on the wrong principal component (misallocation of variance) in principal component analysis (PCA) has been addressed in research o…
Differences of Type I error rates for ANOVA and Multilevel-Linear-Models using SAS and SPSS for repeated measures designs
Nicolas Haverkamp, André Beauducel
To derive recommendations on how to analyze longitudinal data, we examined Type I error rates of Multilevel Linear Models (MLM) and repeated measures Analysis of Variance (rANOVA)…