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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Account Options Sign in. 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. Statistical Methods for the Social Sciences, 4th Edition. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra.

Statistical Methods for the Social Sciences, 3rd Edition.

Read, highlight, and take notes, across web, tablet, and phone. From aocial the book. By abresti, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae. He is author of over refereed article and four texts including “Statistics: This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition.

Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas. Instructors, sign in here to see net price. It has met those expectations Integration of descriptive and inferential statistics from an early point in the text. 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.

My library Help Advanced Book Search. Strong emphasis on regression topics. If you’re interested in creating a cost-saving package for your students, contact your Pearson rep.

The main changes are as follows:. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. A technically correct presentation.

Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. We don’t recognize your username or password.

## Statistical Methods for the Social Sciences, 4th Edition

Changes in the Fourth Edition: 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.

No eBook available Amazon. 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.

This edition contains several changes and stqtistical in content, directed toward a more modern approach. Description The book presents an introduction qnd statistical methods for students majoring in social science disciplines.

The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. Username Password Forgot your username or password?

Instructor resource file download 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. You have successfully signed out and will be required to sign back in should you need to download more resources. 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.

Because of this, stattistical book ad not cover the traditional shortcut hand-computational formulas and approximations. The book contains sufficient material for a two-semester sequence of courses.

### Agresti & Finlay, Statistical Methods for the Social Sciences | Pearson

Pearson offers special pricing when you package your mtehods with other student resources. About the Author s. This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students. Chapter 16 includes new sections on longitudinal data analysis scifnces multilevel hierarchical models. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Websites and online courses.

The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.

Table of Contents 1. 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. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.