Statistical methods for the social sciences / Alan Agresti, Barbara Finlay Agresti, an introduction to statistical methods for students majoring in social science. Such sequences are commonly required of social science graduate students in sociology, political Alan Agresti, Barbara Finlay The book presents an introduction to statistical methods for students majoring in social science disciplines. APA Citation. Agresti, A., & Finlay, B. (). Statistical methods for the social sciences (Fourth edition, Pearson new international edition.). London: Pearson.

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Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

On the other hand, the text is not a cookbook. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. The main changes are as follows:. Sign Up Already have an access code? Share a link to All Resources. Moreover, a wide variety of regression models such as linear regression, ANOVA, logistic regression are taught in the same format, essentially as special cases of a generalized linear model.

He is author of over refereed article and four texts including “Statistics: Account Options Sign in. Username Password Forgot your username or password?

Statistical Methods statisgical the Social Sciences, 4th Edition. Statistical Methods for the Social Sciences. We don’t recognize your username or password. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. Students in geography, tbe, journalism, and speech also are sometimes required to take at least one statistics course. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide.

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The author uses capital Y only as notation for a variable and lower-case for observed values and sample statistics; thus, y-bar, rather than Y-bar, which is consistent with the lower-case used throughout for the standard deviation and other statistics. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students.

Statistical Methods for the Social Sciences – Alan Agresti, Barbara Finlay – Google Books

Statistical Methods for the Social Sciences, 3rd Edition. Reviews “This text is readable, understandable, and well-organized.

By “modern”, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae. Changes in the Fourth Edition: The book contains sufficient material for a two-semester sequence of courses. He is author of over refereed article and four texts including “Statistics: Availability This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition.

The presentation anf computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.

This includes some new exercises that ask students to use applets located at http: A technically correct presentation.

Statistical Methods for the Social Sciences, 4th Edition

You have successfully signed out and will be required to sign back in should you need to download more resources. Alan AgrestiBarbara Finlay.

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The main changes are as follows: The author is successful in his goal of introducing statistical methods in a style that emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them.

Strong emphasis on regression topics. Probability, sample data, and sampling distributions. Emphasis on concepts, rather than computing formulas. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice.

Table of Contents 1.

Perfectly reasonable base text; I think one can get through it significantly faster than two semesters, but provides just the base needed for more advanced work. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data sciencrs.

The book contains sufficient material for a two-semester The author, in this new edition, uses the symbol se for estimated standard errors, rather than the notation of sigma-hat with subscript having the estimator symbol.

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