: Statistical Methods for the Social Sciences (4th Edition) ( ) by Alan Agresti; Barbara Finlay and a great selection of similar New. Statistical Methods for the Social Sciences (4th Edition) by Alan Agresti, Barbara Finlay. Note: Cover may not represent actual copy or condition available. Statistical methods for the social sciences. by Alan Agresti; Barbara Finlay. Print book. English. 4th ed. Upper Saddle River, N.J.: Pearson Prentice Hall.
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It provides good examples with SPSS output. Instructors, sign in here to see net price.
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Statistical Methods for the Social Sciences (4th Edition) by Alan Agresti, Barbara Finlay
Availability This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition.
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. Displaying Editions 11 – 20 out of Username Password Forgot your username or password? On the other hand, the text is not a cookbook.
Please create a new list with a new name; move some items to a new or existing list; or delete some items. Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.
Statistical Methods for the Social Sciences, 4th Edition
Reviews “This text is readable, understandable, and well-organized. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students.
By “modern”, 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 finla it eschews computational formulae. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. Home About Help Search. Advanced Search Find a Library.
Don’t have an account? Sign Up Already have an access code? Statistical methods for the social sciences. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.
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Description The book presents an introduction to statistical methods for students majoring in editioon science disciplines. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
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. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems.
Statistical Methods for the Social Sciences (4th Edition)
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. Statistical 4tu for the Social Sciences, 3rd Edition. The book helps in this This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students.
Strong emphasis on regression topics. 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.
This edition contains several changes and additions in content, directed toward a more modern approach. He is author of over refereed article and four texts including “Statistics: The book contains sufficient material for a two-semester sequence of courses. Datasets and other resources where applicable for this book are available here. Search WorldCat Find items in libraries near you.
Showing all editions for ‘Statistical methods for the social sciences’.