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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Changes in the Fourth Edition: 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. Datasets and other resources where applicable for this book are available here.
About the Author s. The main changes are as follows:. This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students.
Statistical Methods for the Social Sciences, 3rd Edition. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. Strong emphasis on fod topics.
Statistical Methods for the Social Sciences – Alan Agresti, Barbara Finlay – Google Books
The fourth edition sdiences an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises. The book helps in this Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice.
From inside the book. Probability, sample data, and sampling distributions. He has been teaching statistics there ayresti 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. New to This Edition.
Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.
Statistical Methods for the Social Sciences, 4th Edition
Availability This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. 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.
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. You have successfully signed out and will be required to sign back in should you need to download more resources.
Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. He is author of over refereed article and four texts including “Statistics: The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
No eBook available Amazon. Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data. He is author of over refereed article and four texts including “Statistics: Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems.
Sign Up Already have an access code? Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.
Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. Username Password Forgot your username or password? There is a stronger focus on real examples and on the integration of statisical software.
Integration of descriptive and inferential statistics from an early point in the text. A technically correct presentation.
Statistical Methods for the Social Sciences
ztatistical Account Options Sign in. If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. The book contains sufficient material for a two-semester sequence of courses.
Reviews “This text is readable, understandable, and well-organized. One way analysis of variance. Alan AgrestiBarbara Finlay.