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Can One Pool Over Site in a Multi-Site Study With Categorical Item Measuring Instruments? A Multiple Testing
Tenko Raykov1, Khaled Alkherainej2
1Michigan State University, East Lansing, USA.
Educational and Psychological Measurement
|November 20, 2024
Summary
This study introduces a new statistical method to check if data from different research sites can be combined. This approach ensures reliable analysis in educational and behavioral research by testing response distribution identity.
Area of Science:
- Educational Research
- Behavioral Science
- Psychometrics
Background:
- Multi-site studies are common in educational and behavioral research.
- Combining data across sites requires careful validation.
- Existing methods may not adequately address site-specific response variations.
Purpose of the Study:
- To present a statistical procedure for assessing data collapsibility across multiple research sites.
- To enable the pooling of data from diverse study locations.
- To provide a method applicable to polytomous items in multi-component instruments.
Main Methods:
- The core method involves testing for cross-site identity of response distributions.
- It utilizes statistical tests suitable for polytomous item data.
- The procedure is designed for practical application in empirical research.
Main Results:
- The proposed procedure effectively determines if data can be pooled across sites.
- It confirms the generalizability of the method to various item types.
- The technique is demonstrated using data from a child development survey.
Conclusions:
- The outlined procedure offers a robust way to examine data collapsibility in multi-site research.
- It facilitates more efficient and powerful data analysis by allowing data pooling.
- The method is accessible through widely available statistical software.
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