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 of measurement 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 of measurement, 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.
Brief overviews of analysis of variance, estimation, and the
statistical error model are provided for review. The procedures
involved in carrying out a generalizability study using EduG
follow, as well as guidance in the interpretation of results.
Real-world applications of G theory to the assessment of
depression, managerial ability, attitudes, and writing and
mathematical skills are then presented. Next, annotated exercises
provide an opportunity for readers to use EduG and interpret its
results. The book concludes with a review of the development of G
theory and possible new directions of application. Finally, for
those with a strong statistical background, the appendixes provide
the formulas used by EduG.
Ideal as a supplement for courses on measurement theory and/or
generalizability theory taught in departments of psychology,
education, medicine, and the social sciences, this text will also
appeal to researchers from a variety of fields interested in
learning how to apply G theory to their studies.
General
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