This book fulfills a need of potential consumers of research, as well as eventual researchers. Although research design courses emphasize designs and appropriate statistical analyses, the stress is on conducting good designs. As a result, students may be able to apply their knowledge of originating research. But most consumers of research read articles based on original research and may be unable to apply that same knowledge to evaluating the article in terms of soundness of the design and appropriateness of the statistical analyses. Such an evaluation is crucial for a practitioner who might consider adapting methods based on results to his or her practice, whether it be education, sociology, psychology, medicine, dentistry or any other field. This book fill this void.
Robert I. Kabacoff received a bachelor's degree in psychology from the University of Connecticut in 1978 and a doctorate in clinical psychology from the University of Missouri-St. Louis in 1985. He completed a post-doctoral fellowship in family research at Brown University Medical School in 1986. In 1987, he joined the faculty in the Center for Psychological Studies at Nova University, teaching courses in psychopathology, family therapy, multivariate statistical methods, and statistical computing. From 1990 to 1993, he served as the Center's Director of Research Support and Training, and was promoted to Associate Professor in 1990 and Professor a few years later.In 1997, Robert moved to Portland, Maine to take a position as Vice President of Research with the Management Research Group, an international organizational development and consulting firm. His primarily research interests are in the areas of diversity and leadership, cross-cultural issues, and the development of effective leadership in a global economy. For the past decade he has been actively engaged in research and consultation with academic, governmental, and business organizations in North America, Western Europe, Africa, and the Pacific Rim.
Preface Acknowledgements About the Author 1. Introduction 2. Case Studies 3. Narrative Analysis 4. Surveys 5. Correlation Studies 6. Regression Analysis Studies 7. Factor-Analytic Studies 8. Discriminant Analysis Studies 9. Two-Condition Experimental Studies 10. Single Classification Studies 11. Factorial Studies 12. Quasi-Experimental Studies 13. Longitudinal Studies Answers to Study Example Critiques Glossary Author Index Subject Index
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