This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.
Social Science Research Design and Statistics
This practitioner’s guide to research design and statistics is a very user-friendly textbook or reference manual for basic through advanced-level graduate courses. There are many distinctive features that could be mentioned, but the ones that immediately come to mind are its great value based on its price, its readability, its integration of research methodology with statistics, and the many examples presented. Students, in particular, will find section 6.3’s “test decision tree” especially useful in assisting them select the best test to apply to their research question, and they will appreciate the thoroughness in explaining how to interpret an SPSS output. There are key points to help focus on the most important material, an excellent glossary for those of us who cannot remember all the terminology, and very helpful review questions (with answers) at the end of each chapter. This book is an inexpensive “must have” for all who embark on a Master’s or doctoral degree program.