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The premier political science research methods text has been thoroughly updated to emphasize the role of new technologies’ in current research. The revisions enhance the comprehensive introduction to systematic political research that has made this book popular among both students and instructors for more than two decades.
- Sales Rank: #1287318 in Books
- Published on: 2005-07-04
- Original language: English
- Number of items: 1
- Dimensions: 9.32" h x .92" w x 7.74" l,
- Binding: Hardcover
- 448 pages
Review
“This is a highly effective companion to an undergraduate research methods class; it not only introduces students to qualitative and quantitative methods but also helps them become better consumers of political science research.”–Pia Kohler, University of Alaska-Fairbanks
From the Back Cover
Manheim, Jarol B.; Rich, Richard C.; Lars Willnat, Empirical Political Analysis: Research Methods in Political Science, 5th Edition*\ This well-established research methods book has been thoroughly updated to reflect the new technologies involved in research, as well as the emerging interest in systematic qualitative techniques. Comprehensive discussion of the research process that includes an abundance of examples drawn from political science to make concepts clear to readers. In-depth examination of major issues that integrates theory, hypotheses, data definition and gathering, and data analysis. For those interested in political science.
About the Author
Craig Leonard Brians is Associate Professor of Political Science at Virginia Polytechnic Institute and State University.
Lars Willnat is Professor of Journalism at Indiana University.
Jarol B. Manheim is Professor of Media and Public Affairs and of Political Science at the George Washington University.
Richard C. Rich is Professor of Political Science at Virginia Polytechnic Institute and State University.
Most helpful customer reviews
6 of 6 people found the following review helpful.
A Solid and Accessible Textbook on Methodology
By unraveler
The book is clearly written, and I am using it this semester for an undergraduate class I teach. I am not a big fan of textbooks in general, as I rarely use them myself, and when I do, it is mostly for concrete and breif reference purposes. This book is very accessible. I especially liked the chapter on focus groups. The chapter on content analysis is also good, because it conveys very clearly the problems that one faces with this particular method, but at the same time the chapter is not mathematically deep. I find that most of my studnets find this book easy to use. As a book on statistics, it is not very powerful, and the presentation of even the basic methods could use better organization. But overall, this is still a useful text.
4 of 4 people found the following review helpful.
A Tough Subject Clearly Explained
By Relating Internationally
I'm a Junior at a large university, and this book is required for my Research Methods class. I've put off taking this class until now, since I'm not very math-oriented. This book explains research ideas in a very simple way, and each chapter has lots of examples from politics. My professor sometimes also has us read the sample articles that the chapters list. This is extra work, but seeing how real researchers use a method helps me understand it. By the way, there is math in the statistics section, but it's not really that bad. If you're not a natural whiz at research, this is the book for you.
1 of 1 people found the following review helpful.
Comprehensive Coverage of Qualitative Analyses, but ...
By Herbert L Calhoun
This is a well-organized book (this review incedentally is keyed to the second edition) that will prove valuable to students on their maiden voyage into research methods. This is true mainly due to the excellent treatment of how to turn abstract ideas into operationally meaningful tools of research. This of course is the wheel around which everything else in political science research revolves, and thus cannot be over emphasized.
But it is also true that "practice makes perfect," and thus it would have been very useful for the authors to have demonstrated at least a few "high leverage" examples of how this is done. After all it is true that for students who have never seen it done, this part of the process remains a mystery until they either do it, or see how others have done it.
But altogether, I like the way the authors handled this part of the book. Of course it would have helped to have included even a minimal discussion about the scientific process and in particular at least a cameo discussion of the philosophy of science, which even when unseen, undergirds everything that is going on above.
Which gets me to my criticism of the book. Since quantitative methods were virtually ignored, it seems to me that the word "qualitative" should have been in the book's title? Otherwise, other readers may have done as I did: I kept looking for the section on quantitative analysis? There of course is nothing wrong with restricting the book to qualitative analysis only, but a student in the computer age is not likely to get very far before he is hit in the face with the need for quantitative analysis. Plus, many of the "qualitative methods" require "quantitative analyses" as indispensable adjuncts, for example as tests for validity or as tests of statistical significance, etc. Thus it is difficult to get away from quantitative analysis even when it is completely ignored as a major topic.
Finally, so much of this book is a compilation from other more technical sources that it is an egregious and unforgivable mistake not to include a healthy bibliography of those who are the real experts on each of these techniques. It particularly irked me that in the discussion on the Semantic Differential, the inventor of that technique Robert Osgood, was not even mention, let alone cited. Three stars
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