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Measurement, Statistics, and Research Design in Physical Education and Exercise Science: Current Issues and Trends
A Special Issue of Measurement in Physical Education and Exercise Science
von Terry M. Wood
Verlag: Taylor & Francis
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Kopierschutz: Adobe DRM


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ISBN: 978-1-317-75902-7
Erschienen am 03.06.2014
Sprache: Englisch
Umfang: 104 Seiten

Preis: 49,49 €

Klappentext
Inhaltsverzeichnis

This inaugural issue is devoted to exploring measurement, research design, and statistics issues in six subdisciplines of exercise and sport science. Originally presented at the Eighth Measurement and Evaluation Symposium, all papers in this issue reflect the work of many renowned measurement specialists and content experts in their respective fields. The articles discuss the following topics:
* standards of assessment quality for physical educators and the problem of providing adequate assessment without adequate resources;
* the importance of properly conceptualizing and defining appropriate research questions as the "source and solution" for measurement and design issues in reference to motor learning/control and sport and exercise psychology;
* the study of individuals -- single-subject and other small-sample designs -- in contrast to the more traditional study of groups; and
* the importance of computing and reporting statistical power in research.



Chapter 1 EDITOR'S NOTE, Ted A. Baumgartner; Chapter 2 GUEST EDITOR'S NOTE, Terry M. Wood; Part 1 ARTICLES; Chapter 3 Dealing With the Practical Matter of Quality Performance Assessment, Richard J. Stiggins; Chapter 4 Concerns and Issues in Studying and Assessing Motor Learning, Robert W. Christina; Chapter 5 Measurement, Statistics, and Research Design Issues in Sport and Exercise Psychology, Diane L. Gill; Chapter 6 Experimental and Statistical Design Issues in Human Movement Research, C. Roger James, Barry T. Bates; Chapter 7 Using Old Research Ideas to Study Contemporary Problems in Adapted Physical Activity, Marcel Bouffard; Chapter 8 Estimating SampIe Size in Repeated-Measures Analysis of Variance, Zung Vu Tran;


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