An Effect Size Measure for Raju’s Differential Functioning for Items and Tests
Bibliographic Data
| ID | 20282927 |
|---|---|
| Authors | Keith D Wright (Secondary School Admission Test Board, Princeton, NJ, USA), T C Oshima (Secondary School Admission Test Board, Princeton, NJ, USA) |
| Year | 2015 |
| Volume | 75 |
| Issue | 2 |
| Pages | 338-358 |
| Publication date | 2015-04-01 |
| Peer Reviewed | Yes |
| 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 | 10.1177/0013164414532944 |
| PMID | 29795824 |
| OpenAlex | W1987994933 |
| Language | EN |
| Citations received | 4 |
| References cited | 27 |
This study established an effect size measure for differential functioning for items and tests’ noncompensatory differential item functioning (NCDIF). The Mantel–Haenszel parameter served as the benchmark for developing NCDIF’s effect size measure for reporting moderate and large differential item functioning in test items. The effect size of NCDIF is influenced by the model, the discrimination parameter, and the difficulty parameter. Therefore, tables of NCDIF’s effect size were presented at given levels of a, b, and c parameters. In addition, a general effect size recommendation for moderate and large NCDIF is also established
Data mining · Differential (mechanical device) · Differential effects · Differential item functioning · Item response theory · Measure (data warehouse) · Psychometrics · Statistics · Test (biology) · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Medicine · Psychology · Psychometric Methodologies and Testing · Technology and Data Analysis
Differential Item Functioning
Detecting Differential Item Functioning Using Logistic Regression Procedures
The Area between Two Item Characteristic Curves
A Model-Based Standardization Approach that Separates True Bias/DIF from Group Ability Differences and Detects Test Bias/DTF as well as Item Bias/DIF
IRT-Based Internal Measures of Differential Functioning of Items and Tests
Developing a Common Metric in Item Response Theory
Using Statistical Procedures to Identify Differentially Functioning Test Items
Evaluating Type I Error and Power Rates Using an Effect Size Measure With the Logistic Regression Procedure for DIF Detection
Promoting Good Statistical Practices
Differential Item Functioning Detection and Effect Size
Practical Significance
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,44 |
| Citation span | 2017 - 2023 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |