Understanding Multivariate Research: A Primer for Beginning Social Scientists / Edition 1

Understanding Multivariate Research: A Primer for Beginning Social Scientists / Edition 1

by William Berry, Mitchell Sanders
     
 

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.See more details below

Overview

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.

Product Details

ISBN-13:
9780813399713
Publisher:
Westview Press
Publication date:
04/28/2000
Series:
Essentials of Political Science Series
Edition description:
New Edition
Pages:
104
Sales rank:
279,584
Product dimensions:
5.26(w) x 8.09(h) x 0.26(d)
Lexile:
1550L (what's this?)

Table of Contents

List of Tables and Figuresvii
Preface for Teachers and Studentsix
Acknowledgmentsxiii
1Introduction1
The Concept of Causation1
Experimental Research2
The Logic Underlying Regression Analysis5
Some Necessary Math Background7
2The Bivariate Regression Model15
The Equation15
The Intercept17
The Slope Coefficient18
The Error or Disturbance Term19
Some Necessary Assumptions20
Estimating Coefficients with Data from a Sample24
3The Multivariate Regression Model29
The Value of Multivariate Analysis29
Interpreting the Coefficients of a Multivariate Regression Model31
Dichotomous and Categorical Independent Variables33
The Assumptions of Multivariate Regression37
Choosing the Independent Variables for a Regression Model38
4Evaluating Regression Results41
Standardized Coefficients41
Strong Relationships Among the Independent Variables: The Problem of Multicollinearity43
Measuring the Fit of a Regression Model44
Statistical Significance45
Cross-Sectional vs. Time-Series Data49
5Some Illustrations of Multiple Regression51
Lobbying in Congress51
Population Dynamics and Economic Development57
6Advanced Topics63
Interaction vs. Nonlinearity63
Interactive Models64
Nonlinear Models68
Dichotomous Dependent Variables: Probit and Logit72
Multi-equation Models: Simultaneous Equation Models and Recursive Causal Models76
7Conclusion79
Glossary81
References83
Index85

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