Validating a Reading Assessment Within the Cognitive Diagnostic Assessment Framework: Q-Matrix Construction and Model
Yan Li1, Miaomiao Zhen1, Jia Liu2
1Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
Frontiers in Psychology
|January 3, 2022
Summary
This study developed and validated the Diagnostic Chinese Reading Comprehension Assessment (DCRCA) for primary students. The G-DINA model and a six-attribute structure proved optimal for reliable and valid diagnostic feedback.
Area of Science:
- Educational Measurement and Assessment
- Cognitive Psychology
- Psychometrics
Background:
- Cognitive Diagnostic Assessment (CDA) offers detailed feedback on student subskills, but research on developing new diagnostic tests, especially for reading, is limited.
- Existing CDA studies often adapt existing large-scale assessments, lacking dedicated test development and robust reliability/validity evidence.
- There is a need for validated diagnostic tools to inform targeted reading instruction.
Purpose of the Study:
- To develop and validate the Diagnostic Chinese Reading Comprehension Assessment (DCRCA) for primary students within the CDA framework.
- To identify optimal cognitive diagnostic models and attribute structures for assessing Chinese reading comprehension.
- To provide evidence of the reliability and validity of the developed DCRCA.
Main Methods:
- Reading attributes were defined through literature review, curriculum standards, expert judgment, and think-aloud protocols.
- Three booklets of reading comprehension items were created for grades 2-6.
- A large-scale study (N=21,466) was conducted, followed by Q-matrix refinement, model-data fit analysis, and comparison of five cognitive diagnostic models (CDMs).
Main Results:
- A six-attribute structure and the G-DINA model demonstrated the best fit for the reading comprehension data.
- The DCRCA exhibited strong diagnostic reliability, construct validity, internal validity, and external validity.
- CDM classifications were found to be reliable, accurate, and useful for educational decision-making.
Conclusions:
- The developed Diagnostic Chinese Reading Comprehension Assessment (DCRCA) is a reliable and valid tool for fine-grained diagnosis of primary students' reading subskills.
- The G-DINA model and a six-attribute structure are suitable for cognitive diagnosis of Chinese reading comprehension.
- The DCRCA provides valuable diagnostic information for students, teachers, and administrators to improve reading instruction and programs.
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