Statistical Methods for the Social Sciences (with SPSS from A to Z: A Brief Step-by-Step Manual) / Edition 4

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $154.91
Usually ships in 1-2 business days
(Save 21%)
Other sellers (Hardcover)
  • All (7) from $154.91   
  • New (5) from $177.69   
  • Used (2) from $154.91   

More About This Textbook


Agresti and Finley present statistical methods in a style that emphasizes their concepts and their application to the social sciences rather than the mathematics and computational details behind them.

Statistical Methods for the Social Sciences, 4e presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra).

This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

Read More Show Less

Product Details

  • ISBN-13: 9780205632497
  • Publisher: Pearson
  • Publication date: 6/6/2008
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 624
  • Product dimensions: 8.20 (w) x 10.70 (h) x 1.10 (d)

Table of Contents


1.1 Introduction to statistical methodology

1.2 Descriptive statistics and inferential statistics

1.3 The role of computers in statistics

1.4 Chapter summary

2. Sampling and Measurement

2.1 Variables and their measurement

2.2 Randomization

2.3 Sampling variability and potential bias

2.4 other probability sampling methods *

2.4 Chapter summary

3. Descriptive statistics

3.1 Describing data with tables and graphs

3.2 Describing the center of the data

3.3 Describing variability of the data

3.4 Measure of position

3.5 Bivariate descriptive statistics

3.6 Sample statistics and population parameters

3.7 Chapter summary

4. Probability Distributions

4.1 Introduction to probability

4.2 Probability distributions for discrete and continuous variables

4.3 The normal probability distribution

4.4 Sampling distributions describe how statistics vary

4.5 Sampling distributions of sample means

4.6 Review: Probability, sample data, and sampling distributions

4.7 Chapter summary

5. Statistical inference: estimation

5.1 Point and interval estimation

5.2 Confidence interval for a proportion

5.3 Confidence interval for a mean

5.4 Choice of sample size

5.5 Confidence intervals for median and other parameters*

5.6 Chapter summary

6. Statistical Inference: Significance Tests

6.1 Steps of a significance test

6.2 Significance test for a eman

6.3 Significance test for a proportion

6.4 Decisions and types of errors in tests

6.5 Limitations of significance tests

6.6 Calculating P (Type II error)*

6.7 Small-sample test for a proportion: the binomial distribution*

6.8 Chapter summary

7. Comparison of Two Groups

7.1 Preliminaries for comparing groups

7.2 Categorical data: comparing two proportions

7.3 Quantitative data: comparing two means

7.4 Comparing means with dependent samples

7.5 Other methods for comparing means*

7.6 Other methods for comparing proportions*

7.7 Nonparametric statistics for comparing groups

7.8 Chapter summary

8. Analyzing Association between Categorical Variables

8.1 Contingency Tables

8.2 Chi-squared test of independence

8.3 Residuals: Detecting the pattern of association

8.4 Measuring association in contingency tables

8.5 Association between ordinal variables*

8.6 Inference for ordinal associations*

8.7 Chapter summary

9. Linear Regression and Correlation

9.1 Linear relationships

9.2 Least squares prediction equation

9.3 The linear regression model

9.4 Measuring linear association - the correlation

9.5 Inference for the slope and correlation

9.6 Model assumptions and violations

9.7 Chapter summary

10. Introduction to multivariate Relationships

10.1 Association and causality

10.2 Controlling for other variables

10.3 Types of multivariate relationships

10.4 Inferenential issues in statistical control

10.5 Chapter summary

11. Multiple Regression and Correlation

11.1 Multiple regression model

11.2 Example with multiple regression computer output

11.3 Multiple correlation and R-squared

11.4 Inference for multiple regression and coefficients

11.5 Interaction between predictors in their effects

11.6 Comparing regression models

11.7 Partial correlation*

11.8 Standardized regression coefficients*

11.9 Chapter summary

12. Comparing groups: Analysis of Variance (ANOVA) methods

12.1 Comparing several means: One way analysis of variance

12.2 Multiple comparisons of means

12.3 Performing ANOVA by regression modeling

12.4 Two-way analysis of variance

12.5 Two way ANOVA and regression

12.6 Repeated measures analysis of variance*

12.7 Two-way ANOVA with repeated measures on one factor*

12.8 Effects of violations of ANOVA assumptions

12.9 Chapter summary

13. Combining regression and ANOVA: Quantitative and Categorical Predictors

13.1 Comparing means and comparing regression lines

13.2 Regression with quantitative and categorical predictors

13.3 Permitting interaction between quantitative and categorical predictors

13.4 Inference for regression with quantitative and categorical predictors

13.5 Adjusted means*

13.6 Chapter summary

14. Model Building with Multiple Regression

14.1 Model selection procedures

14.2 Regression diagnostics

14.3 Effects of multicollinearity

14.4 Generalized linear models

14.5 Nonlinearity: polynomial regression

14.6 Exponential regression and log transforms*

14.7 Chapter summary

15. Logistic Regression: Modeling Categorical Responses

15.1 Logistic regression

15.2 Multiple logistic regression

15.3 Inference for logistic regression models

15.4 Logistic regression models for ordinal variables*

15.5 Logistic models for nominal responses*

15.6 Loglinear models for categorical variables*

15.7 Model goodness of fit tests for contingency tables*

15.9 Chapter summary

16. Introduction to Advanced Topics

16.1 Longitudinal data analysis*

16.2 Multilevel (hierarchical) models*

16.3 Event history analysis*

16.4 Path analysis*

16.5 Factor analysis*

16.6 Structural equation models*

16.7 Markov chains*

Appendix: SAS and SPSS for Statistical Analyses


Answers to selected odd-numbered problems


Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)