William Berry

Understanding Multivariate Research (eBook, PDF)

A Primer For Beginning Social Scientists

• Format: PDF

Produktbeschreibung

This book fills this gap with a concise introduction to regression analysis and other multivariate techniques. It is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 104
• Erscheinungstermin: 4. Mai 2018
• Englisch
• ISBN-13: 9780429971914
• Artikelnr.: 56786776

Autorenporträt

William Berry

Inhaltsangabe

List of Tables and Figures
Preface for Teachers and Students
Acknowledgments Introduction
The Concept of Causation
Experimental Research
The Logic Underlying Regression Analysis
Some Necessary Math Background The Bivariate Regression Model
The Equation
The Intercept
The Slope Coefficient
The Error or Disturbance Term
Some Necessary Assumptions
Estimating Coefficients with Data from a Sample The Multivariate Regression Model
The Value of Multivariate Analysis
Interpreting the Coefficients of a Multivariate Regression Model
Dichotomous and Categorical Independent Variables
The Assumptions of Multivariate Regression
Choosing the Independent Variables for a Regression Model Evaluating Regression Results
Standardized Coefficients
Strong Relationships Among the Independent Variables: The Problem of Multicollinearity
Measuring the Fit of a Regression Model
Statistical Significance
Cross-Sectional vs. Time-Series Data Some Illustrations of Multiple Regression
Lobbying in Congress
Population Dynamics and Economic Development Advanced Topics
Interaction vs. Nonlinearity
Interactive Models
Nonlinear Models
Dichotomous Dependent Variables: Probit and Logit
Multi-equation Models: Simultaneous Equation Models and Recursive Causal Models Conclusion
Glossary
References
Index