: 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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The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. Statistical methods for the social sciences by Alan Agresti.
Agresti & Finlay, Statistical Methods for the Social Sciences | Pearson
Year 9 16 19 8 20 Show more Showing all editions for ‘Statistical methods for the social sciences’. On the other hand, the text is not a cookbook. Strong emphasis on regression topics. Description The book presents an introduction to statistical methods for students majoring in social science disciplines.
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. Home About Help Search. Create lists, bibliographies and reviews: Showing all editions for ‘Statistical methods for the social sciences’ Sort by: Websites and online courses.
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. Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.
Statistical Methods for the Social Sciences, 4th Edition
It has met those expectations Please create a new list with a new name; move some items to a new or existing list; or delete some items. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Statistical methods for the social sciences.
Formats and Editions of Statistical methods for the social sciences 
The book contains sufficient material for editiion 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.
The book presents an introduction to statistical methods for students majoring in social science disciplines.
Sign Up Already have an access code? Your list has reached the maximum number of items. There is a stronger focus on real examples and on the integration of statisical software.
Emphasis on concepts, rather than computing formulas. Statistical methods for the social sciences by Alan Agresti; Barbara Finlay. This includes some new exercises that ask students to use applets located at http: Statistical Methods for the Social Sciences, 4th 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. Table of Contents 1. Sign In We’re ayresti Displaying Editions 11 – 20 out of The main changes are as follows:.
To help with this, some notation has been simplified or eliminated. Student’s solutions manual for statistical methods for the social sciences.