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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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. The main changes are as follows: Perfectly reasonable base text; I think one can get through it significantly faster than two semesters, but provides just the base needed for statisfical advanced work. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.
A technically correct presentation.
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The main changes are as follows:. Read, highlight, and take notes, across web, tablet, and phone. This edition contains several changes and additions in content, directed toward a more modern approach. Metgods inside the book.
Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. We don’t recognize your username or password. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. The author is successful mrthods 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.
Statistical methods for the social sciences / Alan Agresti, Barbara Finlay – Details – Trove
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. It provides good examples with SPSS output. He is author of over refereed article and four texts including “Statistics: This edition also has an appendix explaining how to scinces SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.
Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas. Finlag library Help Advanced Book Search. Description The book presents an introduction sciencse statistical methods for students majoring in social science disciplines. The book presents an introduction to statistical methods for students majoring in social science disciplines.
Statistical Methods for the Social Sciences, 4th Edition
Integration of descriptive and inferential statistics from an early point in the text. Changes in the Fourth Edition: Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises. By “modern”, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather methids using arbitrary levels of significance, and that it eschews computational formulae.
Statistical Methods for the Social Sciences
Statistical Methods for the Social Sciences, 4th Edition. Account Options Statkstical in. Sign In We’re sorry! Datasets and other resources where applicable for this book are available here. This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. 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 book contains sufficient material for statistidal two-semester sequence of courses.
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. Probability, sample data, and sampling distributions. The book helps in this No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. Reviews “This text is readable, understandable, and well-organized.
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.
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Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models. One way analysis of variance. 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.
The mathematics is still downplayed, in particular probability, which is all too often a stumbling sociao for students.