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Using Corpus Analyses to Help Address the DIF Interpretation: Gender Differences in Standardized Writing Assessment
Zhi Li1, Michelle Y Chen2, Jayanti Banerjee2
1Department of Linguistics, College of Arts and Science, University of Saskatchewan, Saskatoon, SK, Canada.
This study used a corpus-based approach to interpret small gender differences in writing assessment, finding linguistic features that explain differential item functioning (DIF) and support score validity.
Area of Science:
- Educational Measurement
- Linguistics
- Psychometrics
Background:
- Differential item functioning (DIF) analysis is crucial for score validity across groups, but interpreting DIF results, especially small effects in writing assessment, remains challenging.
- Conventional DIF methods often lack substantive interpretation, necessitating complementary approaches to understand score disparities.
- Writing assessment frequently relies on external variables for proficiency matching, complicating the analysis of subtle DIF effects.
Purpose of the Study:
- To demonstrate a corpus-based method for interpreting small gender DIF in writing assessment.
- To provide linguistic insights into the sources of observed gender-based score differences.
- To enhance the validity evidence for writing test scores by understanding DIF.
Main Methods:
- A corpus of 826 writing samples was analyzed, matched for reading and listening proficiency.
- Four categories of linguistic features were examined: sentiment/social cognition, cohesion, syntax, and lexicon.
- 123 linguistic features correlated with writing scores were selected for gender comparison.
Main Results:
- Female test takers' writing samples showed higher scores on six linguistic features (cohesion and syntactic categories) with small effect sizes.
- Three of these features positively correlated with writing scores, while three negatively correlated.
- The linguistic findings corroborated the small magnitude of gender DIF previously identified statistically.
Conclusions:
- Corpus-based linguistic analysis offers valuable insights into the sources of small gender DIF in writing assessments.
- The identified linguistic differences, though small, help explain score variations and support the validity of writing test interpretations.
- This approach bridges statistical DIF detection with substantive linguistic interpretation, advancing assessment practices.
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