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Constructing Subscores That Add Validity: A Case Study of Identifying Students at Risk
Gina Biancarosa1, Patrick C Kennedy1, Sarah E Carlson1
1University of Oregon, Eugene, OR, USA.
Educational and Psychological Measurement
|January 15, 2019
Summary
New reading comprehension subscores, based on incorrect answers, significantly improve test score validity and prediction of academic proficiency. These novel subscores offer valuable insights beyond a single total score.
Area of Science:
- Educational Psychology
- Psychometrics
- Reading Comprehension Research
Background:
- Traditional achievement tests often yield limited value from subscores compared to total scores.
- Existing subscores based on content areas may not accurately reflect underlying student abilities.
- The utility of novel subscore generation methods requires further investigation.
Purpose of the Study:
- To explore new methods for creating reliable and valid subscores for inferential reading comprehension tests.
- To assess the added value of these novel subscores over a single total score in predicting academic success.
- To determine the impact of subscores based on error patterns and response efficiency on predictive models.
Main Methods:
- Developed four new subscores for an inferential reading comprehension test administered to 625 students (grades 3-5).
- Three subscores were derived from patterns of incorrect answers; a fourth measured temporal efficiency in correct responses.
- Employed logistic regression and receiver operating characteristic (ROC) curve analyses (Area Under the Curve - AUC) to evaluate predictive validity.
Main Results:
- All four developed subscores demonstrated reliability.
- Subscores based on incorrect answer patterns significantly enhanced predictive validity and model fit across all tested grades.
- The comprehension efficiency subscore showed modest improvements in predictive fit for fourth and fifth grades only.
- Models incorporating subscores consistently outperformed models with only a single total score, as indicated by higher AUC statistics.
Conclusions:
- Subscores derived from patterns of student errors in reading comprehension offer significant added value and validity.
- These error-pattern-based subscores improve the prediction of academic proficiency more effectively than traditional total scores or efficiency-based subscores.
- The findings suggest a re-evaluation of how reading comprehension is assessed, advocating for the use of nuanced subscores to better understand student performance and inform instruction.
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