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Measurement Theory in Action - Case Studies and Exercises, Second Edition (Hardcover, 2nd edition)
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Measurement Theory in Action - Case Studies and Exercises, Second Edition (Hardcover, 2nd edition)
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This book helps readers apply testing and measurement theories.
Featuring 22 self-standing modules, instructors can pick and choose
the ones that are most appropriate for their course. Each module
features an overview of a measurement issue and a step-by-step
application of that theory. Best practices provide recommendations
for ensuring the appropriate application of the theory. Practical
questions help students assess their understanding of the topic
while the examples allow them to apply the material using real
data. Two cases in each module depict typical dilemmas faced when
applying measurement theory followed by Questions to Ponder to
encourage critical examination of the issues noted in the cases.
Each module contains exercises some of which require no computer
access while others involve the use of SPSS to solve the problem.
The book's website houses the accompanying data sets and more. The
book also features suggested readings, a glossary of the key terms,
and a continuing exercise that incorporates many of the steps in
the development of a measure of typical performance. Updated
throughout to reflect recent changes in the field, the new edition
also features: --A new co-author, Michael Zickar, who updated the
advanced topics and added the new module on generalizability theory
(Module 22). -Expanded coverage of reliability (Modules 5 & 6)
and exploratory and confirmatory factor analysis (Modules 18 &
19) to help readers interpret results presented in journal
articles. -Expanded Web Resources, Instructors will now find:
suggested answers to the book's questions and exercises; detailed
worked solutions to the exercises; and PowerPoint slides. Students
and instructors can access the SPSS data sets; additional
exercises; the glossary; and website references that are helpful in
understanding psychometric concepts. Part 1 provides an
introduction to measurement theory and specs for scaling and
testing and a review of statistics. Part 2 then progresses through
practical issues related to text reliability, validation,
meta-analysis and bias. Part 3 reviews practical issues related to
text construction such as the development of measures of maximal
performance, CTT item analysis, test scoring, developing measures
of typical performance, and issues related to response styles and
guessing. The book concludes with advanced topics such as multiple
regression, exploratory and confirmatory factor analysis, item
response theory (IRT), IRT applications including computer adaptive
testing and differential item functioning, and generalizability
theory. Ideal as a text for any psychometrics, testing and
measurement, or multivariate statistics course taught in
psychology, education, marketing and management, professional
researchers in need of a quick refresher on applying measurement
theory will also find this an invaluable reference.
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