André Beauducel
Biographic Data
| ID | 4236673 |
|---|---|
| NAME | André Beauducel |
| GIVEN NAMES | André |
| FAMILY NAME | Beauducel |
| SIGNATURE | BEAUDUCEL A |
| AFFILIATIONS | University of Bonn |
| ORCID | 0000-0002-9197-653X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
How to Improve the Regression Factor Score Predictor When Individuals Have Different Factor Loadings
Previous research has shown that ignoring individual differences of factor loadings in conventional factor models may reduce the determinacy of factor score predictors. Therefore, the aim of the present study is to propose a heterogeneous regression factor score predictor (HRFS) with larger determinacy than the conventional regression factor score predictor (RFS) when individuals have different factor loadings. First, a method for the estimation …
Frontal alpha asymmetry as a marker of approach motivation? Insights from a cooperative forking path analysis
740). Frontal asymmetry was measured during a resting period, a picture viewing task, and a guessing task, which were expected to trigger different levels of approach motivation. Results showed that frontal asymmetry was not reliably affected by task manipulations and did not relate to self-reported traits. Furthermore, Bayesian statistics and a cooperative forking path analysis were used to supplement the preregistered analyses. To conclude, thi…
The Trade-Off Between Factor Score Determinacy and the Preservation of Inter-Factor Correlations
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor score predictors have been proposed. However, correlation-preserving factor score predictors have smal…
Coefficients of Factor Score Determinacy for Mean Plausible Values of Bayesian Factor Analysis
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the generating factor scores. However, the mean correlation of sets of single plausible values of differe…
On the Detection of the Correct Number of Factors in Two-Facet Models by Means of Parallel Analysis
Methods for optimal factor rotation of two-facet loading matrices have recently been proposed. However, the problem of the correct number of factors to retain for rotation of two-facet loading matrices has rarely been addressed in the context of exploratory factor analysis. Most previous studies were based on the observation that two-facet loading matrices may be rank deficient when the salient loadings of each factor have the same sign. It was s…
Identification of Facet Models by Means of Factor Rotation: A Simulation Study and Data Analysis of a Test for the Berlin Model of Intelligence Structure
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and…
Modeling the construct validity of the Berlin Intelligence Structure Model
The Berlin Intelligence Structure Model is a hierarchical and faceted model which is originally based on an almost representative sample of tasks found in the literature. Therefore, the Berlin Intelligence Structure Model is an integrative model with a high degree of generality. The present paper investigates the construct validity of this model by using different confirmatory factor analysis models. The results show that the model assumptions ar…
Extending the Debate Between Spearman and Wilson 1929: When do Single Variables Optimally Reproduce the Common Part of the Observed Covariances
The covariances of observed variables reproduced from conventional factor score predictors are generally not the same as the covariances reproduced from the common factors. We sought to find a factor score predictor that optimally reproduces the common part of the observed covariances. It was found algebraically that-under some conditions-the single observed variable with highest loading on a factor reproduces the non-diagonal elements of the obs…
Changes in Brain Electrical Activity After Cognitive Behavioral Therapy for Posttraumatic Stress Disorder in Patients Injured in Motor Vehicle Accidents
OBJECTIVE: To explore changes for the first time in neural processing due to effective cognitive behavioral therapy (CBT) in posttraumatic stress disorder (PTSD) after severe motor vehicle accidents. Recent studies have highlighted the role of right hemisphere activation during withdrawal-related emotions (e.g., anxiety). There has been little research on changes in brain function due to cognitive-behavioral interventions in anxiety disorders. ME…
On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
This simulation study compared maximum likelihood (ML) estimation with weighted least squares means and variance adjusted (WLSMV) estimation. The study was based on confirmatory factor analyses with 1, 2, 4, and 8 factors, based on 250, 500, 750, and 1,000 cases, and on 5, 10, 20, and 40 variables with 2, 3, 4, 5, and 6 categories. There was no model misspecification. The most important results were that with 2 and 3 categories the rejection rate…
Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure
Fit indexes were compared with respect to a specific type of model misspecification. Simple structure was violated with some secondary loadings that were present in the true models that were not specified in the estimated models. The c2 test, Comparative Fit Index, Goodness-of-Fit Index, Incremental Fit Index, Nonnormed Fit Index, root mean squared error of approximation, standardized root mean square residual, and the c2/df values were investiga…
Frontal alpha asymmetry as a marker of approach motivation? Insights from a cooperative forking path analysis
740). Frontal asymmetry was measured during a resting period, a picture viewing task, and a guessing task, which were expected to trigger different levels of approach motivation. Results showed that frontal asymmetry was not reliably affected by task manipulations and did not relate to self-reported traits. Furthermore, Bayesian statistics and a cooperative forking path analysis were used to supplement the preregistered analyses. To conclude, thi…
Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure
Fit indexes were compared with respect to a specific type of model misspecification. Simple structure was violated with some secondary loadings that were present in the true models that were not specified in the estimated models. The c2 test, Comparative Fit Index, Goodness-of-Fit Index, Incremental Fit Index, Nonnormed Fit Index, root mean squared error of approximation, standardized root mean square residual, and the c2/df values were investiga…
On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
This simulation study compared maximum likelihood (ML) estimation with weighted least squares means and variance adjusted (WLSMV) estimation. The study was based on confirmatory factor analyses with 1, 2, 4, and 8 factors, based on 250, 500, 750, and 1,000 cases, and on 5, 10, 20, and 40 variables with 2, 3, 4, 5, and 6 categories. There was no model misspecification. The most important results were that with 2 and 3 categories the rejection rate…
Changes in Brain Electrical Activity After Cognitive Behavioral Therapy for Posttraumatic Stress Disorder in Patients Injured in Motor Vehicle Accidents
OBJECTIVE: To explore changes for the first time in neural processing due to effective cognitive behavioral therapy (CBT) in posttraumatic stress disorder (PTSD) after severe motor vehicle accidents. Recent studies have highlighted the role of right hemisphere activation during withdrawal-related emotions (e.g., anxiety). There has been little research on changes in brain function due to cognitive-behavioral interventions in anxiety disorders. ME…
Modeling the construct validity of the Berlin Intelligence Structure Model
The Berlin Intelligence Structure Model is a hierarchical and faceted model which is originally based on an almost representative sample of tasks found in the literature. Therefore, the Berlin Intelligence Structure Model is an integrative model with a high degree of generality. The present paper investigates the construct validity of this model by using different confirmatory factor analysis models. The results show that the model assumptions ar…
Extending the Debate Between Spearman and Wilson 1929: When do Single Variables Optimally Reproduce the Common Part of the Observed Covariances
The covariances of observed variables reproduced from conventional factor score predictors are generally not the same as the covariances reproduced from the common factors. We sought to find a factor score predictor that optimally reproduces the common part of the observed covariances. It was found algebraically that-under some conditions-the single observed variable with highest loading on a factor reproduces the non-diagonal elements of the obs…
Identification of Facet Models by Means of Factor Rotation: A Simulation Study and Data Analysis of a Test for the Berlin Model of Intelligence Structure
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and…
On the Detection of the Correct Number of Factors in Two-Facet Models by Means of Parallel Analysis
Methods for optimal factor rotation of two-facet loading matrices have recently been proposed. However, the problem of the correct number of factors to retain for rotation of two-facet loading matrices has rarely been addressed in the context of exploratory factor analysis. Most previous studies were based on the observation that two-facet loading matrices may be rank deficient when the salient loadings of each factor have the same sign. It was s…
Coefficients of Factor Score Determinacy for Mean Plausible Values of Bayesian Factor Analysis
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the generating factor scores. However, the mean correlation of sets of single plausible values of differe…
The Trade-Off Between Factor Score Determinacy and the Preservation of Inter-Factor Correlations
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor score predictors have been proposed. However, correlation-preserving factor score predictors have smal…
Frontal alpha asymmetry as a marker of approach motivation? Insights from a cooperative forking path analysis
740). Frontal asymmetry was measured during a resting period, a picture viewing task, and a guessing task, which were expected to trigger different levels of approach motivation. Results showed that frontal asymmetry was not reliably affected by task manipulations and did not relate to self-reported traits. Furthermore, Bayesian statistics and a cooperative forking path analysis were used to supplement the preregistered analyses. To conclude, thi…
How to Improve the Regression Factor Score Predictor When Individuals Have Different Factor Loadings
Previous research has shown that ignoring individual differences of factor loadings in conventional factor models may reduce the determinacy of factor score predictors. Therefore, the aim of the present study is to propose a heterogeneous regression factor score predictor (HRFS) with larger determinacy than the conventional regression factor score predictor (RFS) when individuals have different factor loadings. First, a method for the estimation …
Statistics (9 works) · Mathematics (8 works) · Psychometric Methodologies and Testing (6 works) · Computer Science (5 works) · Econometrics (5 works) · Psychology (5 works) · Factor analysis (4 works) · Advanced Statistical Modeling Techniques (3 works) · Cognitive Abilities and Testing (3 works) · Determinacy (3 works)