| Title: |
A Group Fit Statistic for the Multilevel Item Response Model |
| Language: |
English |
| Authors: |
Yishan Ding (ORCID 0000-0002-4798-1040); Ji Seung Yang; Youngjin Han (ORCID 0000-0002-0780-6272) |
| Source: |
Journal of Educational Measurement. 2026 63(1). |
| Availability: |
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: |
Y |
| Page Count: |
27 |
| Publication Date: |
2026 |
| Document Type: |
Journal Articles; Reports - Research |
| Descriptors: |
Hierarchical Linear Modeling; Item Response Theory; Goodness of Fit; Test Wiseness; Behavior Patterns; Error Patterns; Prediction; Cheating; Test Items |
| DOI: |
10.1111/jedm.70024 |
| ISSN: |
0022-0655; 1745-3984 |
| Abstract: |
Aberrant behaviors among test-takers in large-scale assessments are often more prevalent within specific groups or testing sites. While various techniques have been developed to detect individual-level test-takers' aberrant behaviors, research in detecting those behaviors at the group level is rare. We propose a group fit statistic l[subscript z][subscript 2] by extending the l[subscript z] statistic to a multilevel item response model. This new statistic demonstrates adequate power and effectively controls the Type I error rate, particularly when true latent variable values are used or when group sizes are large, such as 500. When latent variable estimates are employed, an adjustment to the l[subscript z][subscript 2] based on the posterior predictive checking approach can offer improved control over the Type I error rate. |
| Abstractor: |
As Provided |
| Entry Date: |
2026 |
| Accession Number: |
EJ1501255 |
| Database: |
ERIC |