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Technical Applying Generalizability Theory using EduG (Quantitative Methodology Series)

Posted on 2010-04-14




Name:Technical Applying Generalizability Theory using EduG (Quantitative Methodology Series)
ASIN/ISBN:1848728298
Publisher:Routledge Academic
Publish Date:edition 2009
Pages:240 pages
File size:2.2 Mb
Publisher: Routledge Academic
ISBN: 1848728298
Publish Date: edition 2009
File Type: PDF
Pages: 240 pages
File Size: 2,2 mb
   Technical Applying Generalizability Theory using EduG (Quantitative Methodology Series)

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Applying Generalizability Theory using EduG (Quantitative Methodology Series)

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability ofmeasurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind ofmeasurement , regardless of the discipline. Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding.

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