Understanding Multivariate Research: A Primer For Beginning Social Scientists,9780813399713

Understanding Multivariate Research: A Primer For Beginning Social Scientists

by
Edition: 1st
ISBN13: 9780813399713
ISBN10: 0813399718
Format: Nonspecific Binding
Pub. Date: 2000-05-05
Publisher(s): Routledge
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Summary

Gives new social science graduate students sufficient background in quantitative multivariate analysis (e.g., regression analysis) to allow them to read research relying on such analysis prior to formal training in statistical methods.

Author Biography

William D. Berry is Professor of Political Science at Florida State University. He is a contributor to American Political Science Review, Public Administration Review, American Journal of Political Science, and Journal of Politics, and has served on the editorial board of the latter two journals. He has published several other books on related subjects, and has received the Policy Studies Organization’s Harold Laswell Award for outstanding career contributions to the study of the policy making process. Berry has also served as president of the State Politics and Policy section of the American Political Science Association. Mitchell Sanders is Assistant Professor of Political Science at Florida State University. His research can be found in American Journal of Political Science, Political Research Quarterly, Public Choice, and Political Analysis. William D. Berry is Professor of Political Science at Florida State University. He is a contributor to American Political Science Review, Public Administration Review, American Journal of Political Science, and Journal of Politics, and has served on the editorial board of the latter two journals. He has published several other books on related subjects, and has received the Policy Studies Organization’s Harold Laswell Award for outstanding career contributions to the study of the policy making process. Berry has also served as president of the State Politics and Policy section of the American Political Science Association. Mitchell Sanders is Assistant Professor of Political Science at Florida State University. His research can be found in American Journal of Political Science, Political Research Quarterly, Public Choice, and Political Analysis.

Table of Contents

List of Tables and Figures
vii
Preface for Teacher and Students ix
Acknowledgments xiii
Introduction
1(14)
The Concept of Causation
1(1)
Experimental Research
2(3)
The Logic Underlying Regression Analysis
5(2)
Some Necessary Math Background
7(8)
The Bivariate Regression Model
15(14)
The Equation
15(2)
The Intercept
17(1)
The Slope Coefficient
18(1)
The Error or Disturbance Term
19(1)
Some Necessary Assumptions
20(4)
Estimating Coefficients with Data from a Sample
24(5)
The Multivariate Regression Model
29(12)
The Value of Multivariate Analysis
29(2)
Interpreting the Coefficients of a Multivariate Regression Model
31(2)
Dichotomous and Categorical Independent Variables
33(4)
The Assumptions of Multivariate Regression
37(1)
Choosing the Independent Variables for a Regression Model
38(3)
Evaluating Regression Results
41(10)
Standardized Coefficients
41(2)
Strong Relationships Among the Independent Variables: The Problem of Multicollinearity
43(1)
Measuring the Fit of a Regression Model
44(1)
Statistical Significance
45(4)
Cross-Sectional vs. Time-Series Data
49(2)
Some Illustrations of Multiple Regression
51(12)
Lobbying in Congress
51(6)
Population Dynamics and Economic Development
57(6)
Advanced Topics
63(16)
Interaction vs. Nonlinearity
63(1)
Interactive Models
64(4)
Nonlinear Models
68(4)
Dichotomous Dependent Variables: Probit and Logit
72(4)
Multi-equation Models: Simultaneous Equation Models and Recursive Causal Models
76(3)
Conclusion
79(2)
Glossary 81(2)
References 83(2)
Index 85

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