Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models
Bibliographic Data
| ID | 20282437 |
|---|---|
| Authors | Rudolf Debelak (0000-0001-8900-2106, University of Zurich, Zurich, Switzerland, corresponding author), Carolin Strobl (0000-0003-0952-3230, University of Zurich, Zurich, Switzerland) |
| Year | 2019 |
| Volume | 79 |
| Issue | 2 |
| Pages | 385-398 |
| Publication date | 2019-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164418777784 |
| PMID | 30911198 |
| OpenAlex | W2803364066 |
| Language | EN |
| Citations received | 2 |
| References cited | 36 |
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 the new method allows the detection of various forms of differential item functioning in these models, which also includes differential discrimination and differential guessing effects. It is also robust against moderate violations of several assumptions made in the item parameter estimation
Differential (mechanical device) · Differential item functioning · Econometrics · Generalization · Item response theory · Mathematical analysis · Nonparametric statistics · Parametric model · Parametric statistics · Psychometrics · Rasch model · Statistics · Applied Mathematics · Cognitive Abilities and Testing · Computer Science · Mathematics · Psychometric Methodologies and Testing · Social and Intergroup Psychology
Statistical Theories of Mental Test Scores
Item Response Theory
Differential Item Functioning
Statistical Approaches to Measurement Invariance
Bayesian Item Response Modeling
Multidimensional Item Response Theory
Strucchange
Detecting Differential Item Functioning Using Logistic Regression Procedures
Rasch Models in Latent Classes
A Generalized Partial Credit Model
Mirt
Model-Based Recursive Partitioning
Tree-Based Global Model Tests for Polytomous Rasch Models
The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning
Item Response Theory With Covariates (IRT-C)
The Interaction of Ability Differences and Guessing When Modeling Differential Item Functioning With the Rasch Model
A Monte Carlo Study of an Iterative Wald Test Procedure for DIF Analysis
Anchor Selection Strategies for DIF Analysis
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |