Checking Equity: Why Differential Item Functioning Analysis Should Be a Routine Part of Developing Conceptual
Patrícia Martinková1, Adéla Drabinová2,3, Yuan-Ling Liaw4
1Institute of Computer Science, Czech Academy of Sciences, Praha 182 07, Czech Republic martinkova@cs.cas.cz.
Differential item functioning (DIF) analysis identifies biased assessment items. Routine DIF analysis ensures fairer, more valid scores, especially in conceptual assessments, by preventing incorrect conclusions about test fairness.
Area of Science:
- Educational Measurement
- Psychometrics
- Assessment Development
Background:
- Differential item functioning (DIF) analysis is crucial for detecting bias in assessments.
- Simply comparing total scores between groups can be misleading regarding test fairness.
Purpose of the Study:
- To provide a tutorial on DIF analysis methods.
- To demonstrate the importance of DIF analysis in identifying item bias.
- To highlight the necessity of DIF analysis for equitable assessment development.
Main Methods:
- Explanation of various DIF analysis methodological approaches.
- Testing for gender bias in two distinct scenarios.
- Illustration with real data (Homeostasis Concept Inventory) and simulated data.
Main Results:
- A significant difference in total scores between groups can occur without item bias.
- Item bias can be present even when groups have identical total score distributions.
- DIF items require reevaluation by content experts for revision or removal.
Conclusions:
- DIF analysis is essential for developing fair and valid conceptual assessments.
- Routine DIF analysis ensures equitable scores and prevents misinterpretations of test fairness.
- Content expert review of DIF items is necessary for assessment integrity.
More Related Videos
11:29Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
10:26Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
Related Concept Videos
Equity Theory
Friedman Two-way Analysis of Variance by Ranks
Factorial Design
Test for Homogeneity
Group Design
The Anderson-Darling Test
