Statistical Methods for the Social Sciences /
Alan Agresti, Barbara Finlay
- Fourth Edition
- 609 pages; 25 cm.
Includes index 4 copies
Introduction 1 Introduction to Statistical Methodology 1 Descriptive Statistics and Inferential Statistics 4 The Role of Computers in Statistics 6 Chapter Summary 7 Sampling and Measurement 11 Variable and Their Measurement 11 Randomization 15 Sampling Variability and Potential Bias 18 Other Probability Sampling Methods 21 Chapter Summary 24 Descriptive Statistics 31 Describing Data with Table and Graphs 31 Describing the Center of the Data 38 Describing Variability of the Data 46 Measures of Position 51 Bivariate Descriptive Statistics 55 Sample Statistics and Population Parameters 58 Chapter Summary 59 Probability Distribitions 73 Introduction to Probability 73 Probability Distributions for Discrete and Continuous Variables 75 The Normal Probability Distribution 78 Sampling Distributions Describe How Statistics Vary 85 Sampling Distributions of Sample Means Review Population Sample Data and Sampling Distributions Chapter Summary Statistical Inference Estimation Point and Interval Estimation Confidence Interval for a Proportion Confidence Interval for a Mean Choice of sample Size Confidence Intervals for Median and Other Parameters* Chapter Summary Statistical Inference Significance Tests The Five Parts of a Significant test Significance Test for a mean Significance Test for a Proportion Decisions and Types of Errors in Tests Limitations of Significance Tests Calculating P (Type II Error )* Small-Sample Test for a Proportion- the Binomial Distribution* Chapter Summary Comparison of two Groups Preliminaries for Comparing Group Categorical Data Comparing Two Proportions Quantitative Data Comparing Two Means 193 Other Methods for Comparing Means* Other Methds for Comparing Proportions* Nonparametric Statistics for Comparing Chapter Summary Analyzıng Assocıatıon between Categorıcal Varıables Contıngency Tables Chı-Squared Test of Independence Resıduals: Detecting the Pattern of Association 233 239 Inference for Ordinal Associations Chapter Summary Linear Regression and Correlation Linear Relationships Least Squares Prediction Equation The Linear Regression Model Measuring Linear Association: The Correlation Inferences for the Slope and Correlation Model Assumptions and Violation Chapter Summary Introduction to Multivariate Relationships Association and Casualty Controlling for Other Variables Types of Multivariate Relationships Inferential Issues in Statistical Control Chapter Summary Multiple Regression and Correlation The Multiple Regression Model Example with multiple Regression Computer output Multiple Correlation R 2 Inference for Multiple Regression Coefficients Interactions Between Predictors in Their Effects Comparing Regression Models Partial Correlations Standardized Regression Coefficients Chapter Summary Comparing Groups: Analysis of Variance(ANOVA) Comparing Several Means: The Analysis of Variance F Test Multiple Comparisons of Means Performing ANOVA by Regression Modeling Two-Way Analysis of Variance Two-way ANOVA and Regression Repeated Measures Two-Way ANOVA with Repeated Measures on a Factors Effects of Violations of ANOVA Assumption Chapter Summary Combining Regression and ANOVA: Quantitative and Categorical Predictors Regression with Quantitative and Categorical Predictors Permitting Interaction between Quantitative and Categorical Predictors Inference for Regression with Quantitative and Categorical Predictors Adjusted Means Chapter Summary Model Building with Multiple Regression Model Selection Procedures Regression Diagnostics Effects of Multicollinearity Generalized Linear Models Nonlinear Relationships Polynomial Regression Exponential Regression and Log Transforms Chapter Summary Logistic Regression: Modeling Categorical Responses Logistic Regression Multiple Logistic Regression Inference for Logistic Regression Models Logistic Regression Models for Ordinal Variables Logistic Models for Normal Responses Loglinear Relationship Models For Nominals Responses Model Goodness-of -Fit Tests For Contingency Tables Chapter Summary An Introduction to Advanced Methodology Longitudinal Data Analysis Multilevel (Hierarchical) Event History Models Path Analysis Factor Analysis Structural Equation Models Markov Chains Appendix A: SPSS and S.A.S For Statistical Analysis Appendix B: Answers to Selected Odd-Numbered Exercises Tables Bibliography Index