16 citations · 30 across the 14 of their papers we have counts for
14 papers
How to improve the regression factor score predictor when individuals have different factor loadings
André Beauducel, Norbert Hilger, Anneke C. Weide
Previous research has shown that ignoring individual differences of factor loadings in conventional factor models may reduce the determinacy of factor score predictors. Therefore,…
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…
Robust oblique Target-rotation for small samples
André Beauducel, Norbert Hilger
Introduction: Oblique Target-rotation in the context of exploratory factor analysis is a relevant method for the investigation of the oblique independent clusters model. It was arg…
Bias of determinacy coefficients in confirmatory factor analysis based on categorical variables
André Beauducel, Norbert Hilger, Anneke Weide
The relevance of determinacy coefficients as indicators for the validity of factor score predictors has regularly been emphasized. Previous simulation studies revealed biased deter…
The trade-off between factor score determinacy and the preservation of inter-factor correlations
André Beauducel, Norbert Hilger, Tobias Kuhl
Regression factor score predictors have the maximum factor score determinacy, i.e., the maximum correlation with the corresponding factor, but they do not have the same inter-corre…
Correlation-preserving mean plausible values as a basis for prediction in the context of Bayesian structural equation modeling
André Beauducel, Norbert Hilger
Mean plausible values can be computed when Bayesian structural equation modeling (BSEM) is performed. As mean plausible values do not preserve the inter-factor correlations, they y…
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…
Treating reflective indicators as causal-formative indicators in order to compute factor score estimates or unit-weighted scales
André Beauducel, Anja Leue, Norbert Hilger
Individual scores on common factors are required in some applied settings (e.g., business and marketing settings). Common factors are based on reflective indicators, but their scor…
Reliability estimates for three factor score predictors
Andre Beauducel, Christopher Harms, Norbert Hilger
Estimates for the reliability of Thurstone's regression factor score predictor, Bartlett's factor score predictor, and McDonald's factor score predictor were proposed. As in Kuder-…
Extending the debate between Spearman and Wilson 1929: When do single variables optimally reproduce the common part of the observed covariances?
Andre Beauducel, Norbert Hilger
Because the covariances of observed variables reproduced from conventional factor score predictors are generally not the same as the covariances reproduced from the common factors,…