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Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 20
2022
Schneider, Lennart; Strobl, Carolin; Zeileis, Achim und Debelak, Rudolf
(2022):
An R toolbox for score-based measurement invariance tests in IRT models.
In: Behavior Research Methods, Bd. 54, Nr. 5: S. 2101-2113
2019
Seibold, Heidi; Hothorn, Torsten und Zeileis, Achim
(2019):
Generalised linear model trees with global additive effects.
In: Advances in Data Analysis and Classification, Bd. 13, Nr. 3: S. 703-725
2018
Komboz, Basil; Strobl, Carolin und Zeileis, Achim
(2018):
Tree-Based Global Model Tests for Polytomous Rasch Models.
In: Educational and Psychological Measurement, Bd. 78, Nr. 1: S. 128-166
2015
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(2015):
Anchor Selection Strategies for DIF Analysis. Review, Assessment, and New Approaches.
In: Educational and Psychological Measurement, Bd. 75, Nr. 1: S. 22-56
[PDF, 815kB]
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(2015):
A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection.
In: Applied Psychological Measurement, Bd. 39, Nr. 2: S. 83-103
[PDF, 408kB]
2014
Abou El-Komboz, Basil; Zeileis, Achim und Strobl, Carolin
(16. Januar 2014):
Detecting Differential Item and Step Functioning with Rating Scale and Partial Credit Trees.
Department of Statistics: Technical Reports, Nr. 152
[PDF, 548kB]
2013
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(24. November 2013):
Anchor selection strategies for DIF analysis: Review, assessment, and new approaches.
Department of Statistics: Technical Reports, Nr. 150
[PDF, 497kB]
Kopf, Julia; Zeileis, Achim und Strobl, Carolin
(13. März 2013):
Anchor methods for DIF detection: A comparison of the iterative forward, backward, constant and all-other anchor class.
Department of Statistics: Technical Reports, Nr. 141
[PDF, 549kB]
Strobl, Carolin; Kopf, Julia und Zeileis, Achim
(2013):
Rasch trees: A New Method for Detecting Differential Item Functioning in the Rasch Model.
In: Psychometrika: S. 1-28
2011
Strobl, Carolin; Wickelmaier, Florian und Zeileis, Achim
(2011):
Accounting for individual differences in Bradley-Terry models by means of recursive partitioning.
In: Journal of Educational and Behavioral Statistics, Bd. 36, Nr. 2: S. 135-153
[PDF, 269kB]
2010
Strobl, Carolin; Kopf, Julia und Zeileis, Achim
(2010):
A new method for detecting differential item functioning in the Rasch model.
Department of Statistics: Technical Reports, Nr. 92
[PDF, 407kB]
Strobl, Carolin; Kopf, Julia und Zeileis, Achim
(2010):
Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben.
In: Trepte, Sabine und Verbeet, Markus (Hrsg.):
Allgemeinbildung in Deutschland - Erkenntnisse aus dem SPIEGEL-Studentenpisa. Wiesbaden: Springer VS. S. 255-272
2009
Strobl, Carolin; Wickelmaier, Florian und Zeileis, Achim
(April 2009):
Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning.
Department of Statistics: Technical Reports, Nr. 54
[PDF, 536kB]
Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim
(11. Februar 2009):
Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package.
Department of Statistics: Technical Reports, Nr. 50
[PDF, 274kB]
Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim
(2009):
Party on! A new, conditional variable importance measure available in the party package.
In: The R Journal, Bd. 1, Nr. 2: S. 14-17
2008
Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim
(28. März 2008):
Conditional Variable Importance for Random Forests.
Department of Statistics: Technical Reports, Nr. 23
[PDF, 394kB]
Strobl, Carolin und Zeileis, Achim
(30. Januar 2008):
Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance.
Department of Statistics: Technical Reports, Nr. 17
[PDF, 323kB]
Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim
(2008):
Conditional variable importance for random forests.
In: BMC Bioinformatics
9:307
[PDF, 396kB]
2007
Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten
(2007):
Bias in random forest variable importance measures: Illustrations, sources and a solution.
In: BMC Bioinformatics
8:25
[PDF, 368kB]
2006
Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten
(2006):
Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution.
Sonderforschungsbereich 386, Discussion Paper 490
[PDF, 574kB]