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Data Analysis: An Introduction (Quantitative Applications in the Social Sciences), by Michael S. Lewis-Beck
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This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question.
Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.
- Sales Rank: #197876 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 1995-01-17
- Original language: English
- Number of items: 1
- Dimensions: 8.30" h x .21" w x 5.46" l, .22 pounds
- Binding: Paperback
- 88 pages
- Used Book in Good Condition
About the Author
Michael S. Lewis-Beck is F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa, and holds a Ph.D. from the University of Michigan. His interests are comparative elections, election forecasting, political economy, and quantitative methodology. He has been designated the 4th most cited political scientist since 1940, in the field of methodology. Professor Lewis-Beck has authored or co-authored over 240 articles and books, including Applied Regression: An Introduction, Data Analysis: An Introduction, Economics and Elections: The Major Western Democracies, Forecasting Elections, The American Voter Revisited and French Presidential Elections. He has served as an Editor of the American Journal of Political Science, the Sage QASS series (the green monographs) in quantitative methods and The Sage Encyclopedia of Social Science Research Methods. Currently he is Associate Editor of International Journal of Forecasting and Associate Editor of French Politics. In spring 2012, he held the position of Paul Lazersfeld University Professor at the University of Vienna. During the fall of 2012, he was Visiting Professor at Center for Citizenship and Democracy, University of Leuven (KU Leuven), Belgium. In spring 2013, Professor Lewis-Beck was Visiting Scholar, Centennial Center, American Political Science Association, Washington, D.C. During fall 2013, he served as Visiting Professor, Faculty of Law and Political Science, Universidad Autónoma de Madrid, Spain. In spring, 2014, he was Visiting Scholar, Department of Political Science, University of Göteborg, Sweden. For fall, 2014, he served as a Visiting Professor at LUISS University, Rome. At present, he is co-authoring a book on how Latin Americans vote.
Most helpful customer reviews
5 of 5 people found the following review helpful.
A Textbook that's Not a Rip-off
By not a natural
In 1980, Michael Lewis-Beck published Applied Regression: An Introduction, a remarkably succinct, informative, and above all accessible introduction to regression analysis. I used it selectively as ancillary reading in courses I taught in basic statistics, quantitative research methods, and multiple regression. Students loved it. Finally, a statistics text they could use to help them with material they didn't understand in class or that was not clearly explained in their other readings!
Unbeknownst to me, the same author later published another Sage paperback titled Data Analysis: An Introduction. I became aware of this 1995 text only recently, and, after reading it, I realized that the last fifteen of the twenty-three years I taught basic statisitcs before retiring in 2010 would have been much easier for me and much more useful for beginning students if I had learned of the book when it first appeared.
As with Lewis-Beck's Applied Regression text, Data Analysis is a tribute to the author's ability to write both succinctly and accessibly about counter-intuitive material that students commonly dread. No reason for dread here, however, because once again Lewis-Beck has written a text that is really useful for beginners who want to use it as supplementary reading for a course or -- wonder of wonders! -- a self-teaching tool. I had long been convinced that the latter objective, producing a reasonably thorough introduction to basic statistics that would serve the interests of those who wanted to teach themselves but who lacked a good deal of mathematical aptitude, was something that would never be written. Lewis-Beck, however, proved me wrong, and he did it in less than eighty pages.
If his text has limitations they are manifest in its peculiarly sociologically orientation, meaning that an obligatory introduction to elementary probability theory is not included, and one-way analysis of variance, a tool that is used and misused much too often in some behavioral science disciplines, is not introduced.
However, there is much more thorough coverage of regression analysis than is included in all but a few introductory texts. Also, simpler techniques, such as the ubiquitous t test and non-parametric measures of association, including those based on Chi-square, are given their due. Lewis-Beck, however, realizes statistics starts to get interesting when analysts begin applying multiple regression. By the time the reader has worked through the first forty pages of Data Analysis, he or she is ready to make a first foray into material that most instructors save for a second course. If Lewis-Beck's earlier book, Applied Regression, were read as a sequel to Data Analysis, a student could honestly and confidently claim to be pretty well on the way to being a reasonably capable social science statistician.
Textbook publishing is a notorious racket. But Lewis-Beck's inexpensive and masterfully written Data Analysis: An Introduction provides a welcome reprieve from the usual rip-off routine.
1 of 1 people found the following review helpful.
Useful Tool For Your Research Toolbox
By Shannon Evans
A great tool is one you use often. An invaluable tool is one you use often and never lend to anyone else and you would slap their hand if they even thought about reaching for it. Anyone even thinks about attempting to borrow my copy of this resource and they will draw back a nub! This booklet has proved to be my "go to" handy reference guide for my own research. If you don't have this one on your personal reference shelf you are missing out.
1 of 1 people found the following review helpful.
Data Analysis; An Introduction
By A. Eller
An excellent primer for basic data analysis. It starts at the beginning of data gathering and discusses basic application of analysis; to include univariate statistics, measures of association, significance testing, simple and multiple regression.
I need a reference source to brush the dust off of my college statistics for a project, this book fit the bill for what I required and would recommend it for others. It is not a complex text, rather a booklet which helped me recall the basics of data analysis.
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