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Feature Analysis Approaches In International Assessment
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Feature Analysis Approaches in International Assessments

 

IRN Start Date: 1 May 2019

 

Abstract
This International Research Network (IRN) will report the use of common qualitative measures on country-specific, large-scale tests in mathematics and language arts and PISA exams. Participants from the United States, Mexico, Panama, Chile, Germany, Finland, China, and South Korea will apply a feature analysis tool (Baker, Cai, Choi, & Buschang, 2014; Baker,
Madni, Michiuye, Choi, & Cai, 2015) to at least one of their country‚Äôs accountability tests and PISA exams. Using feature analysis, qualitative ratings of content distribution, cognitive demands, and task elements (e.g., representation) will be systematically obtained. In subsequent quantitative analysis, the impact of such features on available quantitative indicators such as item difficulty is provided, moderated by phase of assessment development. The proximal intention of these metrics is to inform teachers about instructionally relevant inferences and to influence assessment design. An additional goal is to compare features and indicators across countries for similar, mediating patterns. 

 

 

Co-conveners

Eva L. Baker, PhD

Founding Director and Distinguished Research Professor

National Center for Research on Evaluation, Standards, and Student Testing

University of California, Los Angeles
eva@ucla.edu

 

Kilchan Choi, PhD

Associate Director, Statistics and Methodology

National Center for Research on Evaluation, Standards, and Student Testing

University of California, Los Angeles
kchoi@cresst.org

 

 

-         List of Participants

 

-         References

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