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Basic Math for Social Scientists: Concepts (Quantitative Applications in the Social Sciences) [Paperback]

Timothy M. Hagle
3.8 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

June 29, 1995 0803958757 978-0803958753 1
A review of the basic mathematical concepts that underlie most quantitative analysis in the social sciences is presented in this volume. The author begins with an algebra review featuring sets and combinations and then discusses limits and continuity. Calculus is presented next, with an introduction to differential calculus, multivariate functions, partial derivatives, and integral calculus. Finally the book deals with matrix algebra. Packed with helpful definitions, equations, examples and alternative notations, the book also includes a useful appendix of common mathematical symbols and Greek letters.

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Basic Math for Social Scientists: Concepts (Quantitative Applications in the Social Sciences) + Basic Math for Social Scientists: Problems and Solutions (Quantitative Applications in the Social Sciences) + A Mathematical Primer for Social Statistics (Quantitative Applications in the Social Sciences)
Price for all three: $46.98

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Editorial Reviews

About the Author

Teaches in the Political Science Department.

Product Details

  • Series: Quantitative Applications in the Social Sciences (Book 108)
  • Paperback: 104 pages
  • Publisher: SAGE Publications, Inc; 1 edition (June 29, 1995)
  • Language: English
  • ISBN-10: 0803958757
  • ISBN-13: 978-0803958753
  • Product Dimensions: 8.5 x 5.4 x 0.3 inches
  • Shipping Weight: 0.8 ounces (View shipping rates and policies)
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #868,275 in Books (See Top 100 in Books)

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Customer Reviews

3.8 out of 5 stars
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Most Helpful Customer Reviews
11 of 11 people found the following review helpful
5.0 out of 5 stars Think Cliff's Notes for math -- but better. April 2, 2000
By ltp1
Good concise distillation of the basics. Reviews basic algebra, sets, permutations and combinations, limits, derivatives, integrals, and matrix algebra. Good for a refresher, for introduction, or for filling in gaps in one's basic knowledge. Won't make you a Ph.D. mathematician, but it doesn't pull punches. It's all stated here very simply: terms, equations, and examples. No fluff. Nice slim portable volume. Weighs less than a good sandwich.
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3.0 out of 5 stars Just a Refresher October 25, 2013
By Lisakg
Format:Paperback|Verified Purchase
A friend recommended this book to me when I told him I was going to be doing Mathematics for Social Sciences this Semester. However it is more of a refresher for persons who are familiar with mathematics and not now learning. It did not help me, so if you are a student now learning college mathematics, a textbook is what you need. This book is for those who already know the concepts but just need a refresher.
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4.0 out of 5 stars Good Cure for Math Atrophy September 17, 2010
If you've been using stat software to analyze data so long you've forgotten what it's really doing, this book may be for you. Timothy Hagle "... lays bare the basic math underlying the leading statistical procedures of social and behavioral research." Successive chapters review the basic concepts and equations of algebra, limits, differential calculus, multivariate functions, integral calculus and matrix algebra. The concise matrix algebra review seems easier to follow than the longer treatment of the same material in Namboodiri's Matrix Algebra: An Introduction.

The book is recommended for a quick review of basic math. The author's discussion of the importance this math has for analysis of social science data is instructive and motivating to applied researchers. The book is well-supplemented by the example calculations in the author's companion volume, Basic Math for Social Scientists: Problems and Solutions.
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1 of 3 people found the following review helpful
3.0 out of 5 stars Book Review October 6, 2010
Format:Paperback|Verified Purchase
I would suggest this more for a Social Scientist than a math major. I say this because its essentially a quick review of statistics, calculus, etc... which a math major would find redundant. If your a Social Scientist and need to know some math for what ever project your on, I would suggest it.
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