Rudolf Debelak
Biographic Data
| ID | 8867900 |
|---|---|
| NAME | Rudolf Debelak |
| GIVEN NAMES | Rudolf |
| FAMILY NAME | Debelak |
| SIGNATURE | DEBELAK R |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0001-8900-2106 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
A New Stopping Criterion for Rasch Trees Based on the Mantel–Haenszel Effect Size Measure for Differential Item Functioning
To detect differential item functioning (DIF), Rasch trees search for optimal splitpoints in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF effects as significant in larger samples. This leads to larger trees, which split the sample into more s…
What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit Model
This simulation study investigated to what extent departures from construct similarity as well as differences in the difficulty and targeting of scales impact the score transformation when scales are equated by means of concurrent calibration using the partial credit model with a common person design. Practical implications of the simulation results are discussed with a focus on scale equating in health-related research settings. The study simula…
Model Selection of Nested and Non-Nested Item Response Models Using Vuong Tests
In this paper, we apply Vuong's general approach of model selection to the comparison of nested and non-nested unidimensional and multidimensional item response theory (IRT) models. Vuong's approach of model selection is useful because it allows for formal statistical tests of both nested and non-nested models. However, only the test of non-nested models has been applied in the context of IRT models to date. After summarizing the statistical theo…
Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter. The Type I error rate and the power of this method were evaluated by a variety of simulation studies. The results suggest that t…
Principal Component Analysis of Smoothed Tetrachoric Correlation Matrices as a Measure of Dimensionality
The application of principal component analysis and parallel analysis to smoothed tetrachoric correlation matrices was investigated in a simulation study. To evaluate the effect of several smoothing algorithms, 360 different types of data sets were simulated. Under each simulated condition, two item sets, each fitting a unidimensional two-parameter logistic model, were combined with each other. The simulations differed in the size of the simulate…
An Algorithm for Testing Unidimensionality and Clustering Items in Rasch Measurement
A new approach to identify item clusters fitting the Rasch model is described and evaluated using simulated and real data. The proposed method is based on hierarchical cluster analysis and constructs clusters of items that show a good fit to the Rasch model. It thus gives an estimate of the number of independent scales satisfying the postulates of sufficiency of total number of correctly answered items for a person’s proficiency, unidimensionalit…
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An Algorithm for Testing Unidimensionality and Clustering Items in Rasch Measurement
A new approach to identify item clusters fitting the Rasch model is described and evaluated using simulated and real data. The proposed method is based on hierarchical cluster analysis and constructs clusters of items that show a good fit to the Rasch model. It thus gives an estimate of the number of independent scales satisfying the postulates of sufficiency of total number of correctly answered items for a person’s proficiency, unidimensionalit…
Principal Component Analysis of Smoothed Tetrachoric Correlation Matrices as a Measure of Dimensionality
The application of principal component analysis and parallel analysis to smoothed tetrachoric correlation matrices was investigated in a simulation study. To evaluate the effect of several smoothing algorithms, 360 different types of data sets were simulated. Under each simulated condition, two item sets, each fitting a unidimensional two-parameter logistic model, were combined with each other. The simulations differed in the size of the simulate…
Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter. The Type I error rate and the power of this method were evaluated by a variety of simulation studies. The results suggest that t…
Model Selection of Nested and Non-Nested Item Response Models Using Vuong Tests
In this paper, we apply Vuong's general approach of model selection to the comparison of nested and non-nested unidimensional and multidimensional item response theory (IRT) models. Vuong's approach of model selection is useful because it allows for formal statistical tests of both nested and non-nested models. However, only the test of non-nested models has been applied in the context of IRT models to date. After summarizing the statistical theo…
A New Stopping Criterion for Rasch Trees Based on the Mantel–Haenszel Effect Size Measure for Differential Item Functioning
To detect differential item functioning (DIF), Rasch trees search for optimal splitpoints in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF effects as significant in larger samples. This leads to larger trees, which split the sample into more s…
What Affects the Quality of Score Transformations? Potential Issues in True-Score Equating Using the Partial Credit Model
This simulation study investigated to what extent departures from construct similarity as well as differences in the difficulty and targeting of scales impact the score transformation when scales are equated by means of concurrent calibration using the partial credit model with a common person design. Practical implications of the simulation results are discussed with a focus on scale equating in health-related research settings. The study simula…
Computer Science (5 works) · Mathematics (5 works) · Psychometric Methodologies and Testing (5 works) · Statistics (5 works) · Item response theory (4 works) · Rasch model (4 works) · Artificial Intelligence (3 works) · Artificial Intelligence (3 works) · Data mining (3 works) · Econometrics (3 works)