Solving Practical Measurement Problems with Item Response Theory

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Wednesday, March 28, 2001

1:30 PM-2:45 PM

AAALF/Measurement and Evaluation Council

Solving Practical Measurement Problems with Item Response Theory

Item response theory (IRT) is an advanced measurement theory which provides several advantages over classical test theory in constructing measurement instruments and solving measurement problems. This presentation illustrates four examples on how IRT can be applied to solve practical measurement problems in the fields of physical education and exercise science.

Keyword(s): assessment, measurement/evaluation, research

Presider: Marilyn Looney, Northern Illinois University, DeKalb, IL

Speakers:

		Construction and IRT calibration of a nutrition questionnaire Hermann J. Engles, Wayne State University, Detroit, MI and Weimo Zhu, University of Illinois, Urbana-Champaign, Champaign, IL
		Linking fitness portfolios using a Rasch model Pamela H. Kulina, Wayne State University, Detroit, MI and Weimo Zhu, University of Illinois-Urbana-Champaign, Champaign, IL
		Psychometric equivalence and bias of a translated physical activity questionnaire Sang-Jo Kang, Korean National University, Seoul,Korea and Weimo Zhu, University of Illinois, Urbana-Champaign, Champaign, IL
		Reducing items of a physical activity questionnaire by Rasch measurement Weimo Zhu, University of Illinois, Urbana-Champaign, Champaign, IL, Barbara Ainsworth, University of South Carolina, Columbia, SC and Melicia Whitt, University of Pennsylvania School of Medicine, Philadelphia, PA

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