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Repeated Measures Design for Empirical Researchers (Hardcover)
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Repeated Measures Design for Empirical Researchers (Hardcover)
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Introduces the applications of repeated measures design processes
with the popular IBM(R) SPSS(R) software Repeated Measures Design
for Empirical Researchers presents comprehensive coverage of the
formation of research questions and the analysis of repeated
measures using IBM SPSS and also includes the solutions necessary
for understanding situations where the designs can be used. In
addition to explaining the computation involved in each design, the
book presents a unique discussion on how to conceptualize research
problems as well as identify appropriate repeated measures designs
for research purposes. Featuring practical examples from a
multitude of domains including psychology, the social sciences,
management, and sports science, the book helps readers better
understand the associated theories and methodologies of repeated
measures design processes. The book covers various fundamental
concepts involved in the design of experiments, basic statistical
designs, computational details, differentiating independent and
repeated measures designs, and testing assumptions. Along with an
introduction to IBM SPSS software, Repeated Measures Design for
Empirical Researchers includes: A discussion of the popular
repeated measures designs frequently used by researchers, such as
one-way repeated measures ANOVA, two-way repeated measures design,
two-way mixed design, and mixed design with two-way MANOVA Coverage
of sample size determination for the successful implementation of
designing and analyzing a repeated measures study A step-by-step
guide to analyzing the data obtained with real-world examples
throughout to illustrate the underlying advantages and assumptions
A companion website with supplementary IBM SPSS data sets and
programming solutions as well as additional case studies Repeated
Measures Design for Empirical Researchers is a useful textbook for
graduate- and PhD-level students majoring in biostatistics, the
social sciences, psychology, medicine, management, sports, physical
education, and health. The book is also an excellent reference for
professionals interested in experimental designs and statistical
sciences as well as statistical consultants and practitioners from
other fields including biological, medical, agricultural, and
horticultural sciences. J. P. Verma, PhD, is Professor of
Statistics and Director of the Center for Advanced Studies at
Lakshmibai National Institute of Physical Education, India.
Professor Verma is an active researcher in sports modeling and data
analysis and has conducted many workshops on research methodology,
research designs, multivariate analysis, statistical modeling, and
data analysis for students of management, physical education,
social science, and economics. He is the author of Statistics for
Exercise Science and Health with Microsoft(R) Office Excel(R), also
published by Wiley.
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