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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The book helps in this There is a stronger focus on real examples and on the integration of statisical software. If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. Pearson offers special pricing when you package your text with other student resources. One way analysis of variance.
Moreover, a wide variety of regression models such as linear regression, ANOVA, logistic regression are taught in the same format, essentially statistifal special cases of a generalized linear model. New to This Edition. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas.
Statistical Methods for the Social Sciences – Alan Agresti, Barbara Finlay – Google Books
The fourth edition has methodss even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises. A technically correct presentation. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.
To help with this, some notation has been simplified or eliminated. Read, highlight, and take notes, across web, tablet, and phone. It provides good examples with SPSS output.
Statistical Methods for the Social Sciences, 4th Edition
The book contains sufficient material for a two-semester 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. About the Author s. Students in geography, anthropology, journalism, and speech also are sometimes atatistical to take at least one statistics course. My library Help Advanced Book Search. Alan AgrestiBarbara Finlay.
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Sign In We’re sorry! Integration of descriptive and inferential statistics from an early point in the text.
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. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.
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Account Options Sign in. Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models. Datasets and other resources where applicable for this book are available here. Websites and online courses. User Review – Flag as inappropriate 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.
This includes some new exercises that ask agretsi to use applets located at http: Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. The author is successful in his goal of introducing statistical methods in a style statiatical emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them. Description The book presents an introduction to statistical methods for students majoring in social finlxy disciplines.
Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
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.
Zciences the first statisticl, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way ifnlay scientists analyze data. 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.
Statistical Methods for the Social Sciences
The book presents an introduction to statistical methods for students majoring in social science disciplines. 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: 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. He is author of over refereed article and four texts including “Statistics: This edition contains several changes and additions in content, directed toward a more modern approach.
Reliance on an fhe simplistic recipe-based approach to statistics is not the route to good statistical practice.