Repeated Measures Design For Empirical Researchers

This book focuses on repeated measures designs, and while other books on design of experiments typically only explain the computation involved in each design, this book provides comprehensive solutions to each repeated measures design (RMD) discussed beginning with the formation of research questions to step-by-step analysis using IBM SPSS to the interpretation of the findings. The author uniquely discusses how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Examples have been carefully chosen from a multitude of domains, including psychology, the social sciences, management, and sports science, to aid readers in understanding both the associated theories and methodologies. The book contains eight chapters, the first three of which deal with various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, testing assumptions, and the introduction of SPSS softwar. The remaining chapters addressh five important repeated measures designs that are frequently used by the researchers, namely two-way repeated measures design, two-way mixed design, one-way repeated measures ANOVA, and mixed design with two-way MANOVA.

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 author ofStatistics for Exercise Science and Health with MicrosoftR Office ExcelR, also published by Wiley.