Designed for both students and practitioners, the new edition of this popular text incorporates the latest thinking in public administration and nonprofit management. The book integrates both quantitative and qualitative approaches to research, and also provides specific instruction in the use of commonly available statistical software programs such as Excel and SPSS[registered]. The coverage includes such important topics as research design, specifying research problems, writing questions and designing questionnaires, designing and carrying out four classes of qualitative research approaches, and analyzing both quantitative and qualitative research data.For this edition, a new chapter has been added on how to prepare a research proposal, and another new chapter as well as improvements throughout the text provide expanded coverage of research in NPOs. The section on qualitative methodologies has been expanded to include action research, critical research, empowerment research, and feminist research models; and quantitative methodologies now include multivariate and nonparametric statistics. In addition, the author has updated his step-by-step instructions on the use of Excel and SPSS[registered] packages to include their latest versions. The book is exceptionally well illustrated, with plentiful exhibits, tables, figures, and exercises.
The aim of this book is straightforward (Page 9): ". . .to provide in one location information about how to design, conduct, interpret, and report on research projects. It has been written to serve as a tool for reading and writing on any administrative or social science discipline or topic." Knowing how to carry out effective research is a critical skill in public administration. This book does a decent job of giving appropriate tools for doing research.
The first part considers the foundations of research as tied to the study of public administration (and nonprofit organizations). Topics explored include the nature of the research process and ethical issues at stake in carrying out research (including human subjects issues). Part 2 introduces the reader to the research process. What are the steps in doing research? How would we formulate research problem? Finally, what design or combination of designs should we use? Qualitative? Quantitative? Or a combination?
Part 3 explores quantitative designs, including the importance of statistics, sampling, and the use of questionnaires. The next part is intimately associated with Part 3--appropriate statistics to use to analyze data that have been collected (recall: data are plural; datum is singular). Among subjects covered in this part, chapter by chapter--descriptive statistics; tables, charts, and graphs; research hypotheses; testing hypotheses about two or more groups; looking for relationships; experiments and experimental design; and--dear to the heart of those who do statistical analysis--using SPSS (a common statistics software package).
One very positive feature of this text is a lengthy discussion of qualitative research, often given short shrift in textbooks. Among techniques considered: case study; grounded theory; ethnography; action research. There follows Part 6, focusing on how to analyze qualitative data.
Of course, if you can't communicate findings effectively--no matter how powerful the research design and data analysis--then your work won't likely have the desired impact. So, Part 7 addresses how to prepare and present research findings.
The writing is functional, but don't expect a soaring literary product. The detailed focus on qualitative methods is a real plus. All in all, a good, solid textbook.