Data Analysis

Data Analysis: An Introduction (Quantitative Applications in the Social Sciences) [Kindle Edition]

Author: Michael S. Lewis-Beck | Language: English | ISBN: B00B14RBEC | Format: PDF, EPUB

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Data Analysis: An Introduction
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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.

Books with free ebook downloads available Data Analysis: An Introduction (Quantitative Applications in the Social Sciences) [Kindle Edition]

• File Size: 1345 KB
• Print Length: 88 pages
• Publisher: SAGE Publications, Inc; 1 edition (January 17, 1995)
• Sold by: Amazon Digital Services, Inc.
• Language: English
• ASIN: B00B14RBEC
• Text-to-Speech: Enabled
• X-Ray:
  Not Enabled
• Lending: Not Enabled
• Amazon Best Sellers Rank: #550,714 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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.

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