AGRESTI AND FINLAY STATISTICAL METHODS FOR THE SOCIAL SCIENCES PDF
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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About the Author s. One way analysis of variance.
Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. 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.
If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. 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.
Changes in the Fourth Edition: Pearson offers special pricing when you package your text with other student resources. 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.
Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.
The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises. Share a link to All Resources. Sign Up Already have an access code? The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
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.
Statistical Methods for the Social Sciences, 4th Edition
It provides good examples with SPSS output. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. Sign In We’re sorry! The main changes are as follows:. The book helps in this 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.
Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. Username Password Forgot your username or password? The book contains sufficient material for a two-semester sequence of courses.
abd 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. This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. There is a stronger focus on real examples and on the integration of statisical software.
Instructors, sign in here to see net price. A technically correct presentation. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. Integration of descriptive and inferential statistics from an early zocial in the text. Websites and online courses.
Table of Contents 1.
Statistical methods for the social sciences / Alan Agresti, Barbara Finlay – Details – Trove
This includes some new exercises that ask students to use applets located at http: 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. The book contains sufficient material for a two-semester To help with this, some notation has been simplified or eliminated.
The book presents an introduction to statistical methods for students majoring in social science disciplines. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas. 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 statistiical the Social Sciences, 3rd Edition. Probability, sample data, and sampling distributions. Emphasis on concepts, rather than computing formulas. Strong emphasis on regression topics.