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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Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. The main changes are as follows:. The book contains sufficient material for a two-semester sequence of courses.
The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. It has met those expectations Integration of descriptive and inferential statistics from an early point in the text. Instructors, sign in here to see net price.
Signed out You have successfully signed out and wgresti be required to sign back in should you need to download more resources. There is a stronger focus on real examples and on the integration of statisical software.
Alan AgrestiBarbara Finlay. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas. 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 agersti linear model. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. New to This Edition. One sattistical analysis of variance.
The book presents an introduction to statistical methods for students majoring in social science disciplines. On the other hand, the text is not a cookbook.
He is author of agrssti refereed article and four texts including “Statistics: From inside the book. Although not quite as informative, this will again make results consistent with software output, and help students connect the idea of the se for the various inferential methods they see.
The book contains sufficient material for a two-semester sequence of courses. My library Help Advanced Book Search.
Description The book presents an introduction to statistical methods for students majoring in social science disciplines. Username Password Forgot your username or password? The main concepts to be understood by students are sampling ginlay, confidence interval, p-value, linear regression.
Statistical Methods for the Social Sciences, 3rd Edition.
No previous knowledge of statistics is assumed, and mathematical background is assumed statietical be minimal lowest-level high-school algebra. Reviews “This text is readable, understandable, and well-organized.
Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.
Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises.
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. This includes some new exercises that ask students to use applets located at http: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact tinlay the way social scientists analyze data.
Pearson offers special pricing when you package your text with other student resources. Datasets and other resources where sviences for this book are available here.
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