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Political Science Research Methods, by Janet Buttolph Johnson, H. T. Reynolds
Download Ebook Political Science Research Methods, by Janet Buttolph Johnson, H. T. Reynolds
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Don t let an introduction to research methods be your students least favorite (and most intimidating) political science course. Relevant, timely, insightful, comprehensive, and always mindful of their student audience, the authors have revamped their popular text so that the sixth edition is friendlier and more intuitive than ever the perfect gateway to understanding not just the how but also the why behind research into politics.
Covering the discipline s major methods, the authors lead students step-by-step through the logic of research design. Building block chapters on hypothesis formation and testing, variables, and measurement are right up front; the introduction to research design, sampling, and literature reviews now come with more explanation as to why a researcher would pursue different kinds of methods; the stats chapters begin with a common-sense primer that walks students through foundational ideas and practices. Throughout the text, updated examples of contemporary research problems keep readers engaged.
Each chapter has bolded key terms that are also listed in a glossary at the end of each chapter and the end of the text. Helpful hints feature boxes give students nuts-and-bolts reminders they can refer to when they conduct their own research or assess the work of others.
NEW TO THIS EDITION
- New examples of political science research in Chapter 1, including a case on judicial decision making and current research into public opinion on the war in Iraq.
- Expanded discussion of theory in Chapter 2, showing how competing paradigms can be applied to the same topic of study.
- Substantially updated discussion of survey research including coverage of Internet polling and a fuller description of interviewing.
- Computational formulas and calculations are now featured in How It s Done boxes allowing students to separate lengthy calculations from substantive discussion of the meaning or interpretation of statistical results.
- Greater coverage of newer developments in applied statistics, including exploratory data analysis and descriptive and inferential statistics for counts and functions of counts. In general, less emphasis on computation, and more on interpretation.
- Reorganized statistics chapters for better comprehension with regression analysis and logistic regression in their own chapters.
- A new overview of statistical analysis, including discussion of data preparation, description, modeling, inference, interpretation, and the communication of results.
- Sales Rank: #769052 in Books
- Brand: Brand: CQ Press
- Published on: 2007
- Original language: English
- Number of items: 1
- Dimensions: 1.27" h x 7.54" w x 9.12" l, 2.40 pounds
- Binding: Paperback
- 572 pages
- Used Book in Good Condition
Most helpful customer reviews
1 of 1 people found the following review helpful.
This book was ordered for a college course
By Mary C 5586
This book was ordered for a college course my daughter was enrolled in. The book is required for the course and ordering from Amazon as opposed to the campus book store saved us a lot of money. My daughter thought the writing was clear and concise and easy to follow. She was pleasantly surprised at how easy it was for her to stay interested in the subject matter and not have her mind wander because she was bored with what she was reading which is often the case with college text books.
0 of 0 people found the following review helpful.
So so book.
By Amazon Customer
I wish I had read intro before I bought it. A bit too shallow. Also somewhat narrow and outdated in terms of new types of methods.
2 of 2 people found the following review helpful.
Worst book I have ever experienced for use in a ...
By gborg
Worst book I have ever experienced for use in a college course. AWFUL. The book is very wordy and uses way too many examples. It also introduces an overabundance of formulas to learn in the later chapters. If you have never taken statistics prior to taking this course, you may wish that you had. Especially if your professor tests heavily on the formulas. They are not explained well enough with explicit examples to follow to facilitate learning.
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