7 papers · 1 filter
How does the elimination of group mean-differences affect factor score determinacy?
André Beauducel, Norbert Hilger
The present study investigates to what degree the common variance of the factor score predictor with the original factor, i.e., the determinacy coefficient or the validity of the f…
Coefficients of factor score determinacy for mean plausible values of Bayesian factor analysis
André Beauducel, Norbert Hilger
In the context of Bayesian factor analysis, it is possible to compute mean plausible values, which might be used as covariates or predictors or in order to provide individual score…
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…
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…