| 358 | Thursday, March 18, 2010 |
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| 10:15 AM-11:30 AM | Convention Center:110 |
| Research Consortium |
| Classification Techniques Toward Physical Activity and Health-Related Behaviors |
| In health and physical activity research, it is very important to classify participants into groups prior to evaluating the dependent measures such as cognitive, affective and health behavior outcomes. In recent years the two-stage cluster analysis is believed to be a better classification technique. The purpose of this tutorial is two-fold: (1) to review classification techniques and introduce the two stage cluster analysis with details to answer what, why and how to use it; and (2) to demonstrate two empirical applications using the cluster technique in physical education and physical activity participation. |
Keyword(s): health promotion, measurement/evaluation, physical education PK-12
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| Presider: Yuanlong Liu, Western Michigan University, Kalamazoo, MI |
| Speakers: Yuanlong Liu, Western Michigan University, Kalamazoo, MI; Marc Lochbaum, Texas Tech University, Lubbock, TX; and Ping Xiang, Texas A&M University, College Station, TX |
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Speakers: |
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Classification of Participants: A Guide to Appropriately Using Cluster Analyses
Yuanlong Liu, Western Michigan University, Kalamazoo, MI and Ping Xiang, Texas A&M University, College Station, TX |
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Achievement Goals and Physical Activity Participation and Attitudes
Marc Lochbaum, Texas Tech University, Lubbock, TX |
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Goal Patterns in Physical Education Running Programs: A Cluster Analysis
Ping Xiang1, Yuanlong Liu2 and Ron E. McBride1, (1)Texas A&M University, College Station, TX, (2)Western Michigan University, Kalamazoo, MI |
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