Understanding multivariate research : a primer for beginning social scientists /
Berry, William Dale,
Understanding multivariate research : a primer for beginning social scientists / William D. Berry, Mitchell S. Sanders. - xiii, 87 pages : illustrations ; 20 cm
Includes bibliographical references (page 83) and index.
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. 1. 2. 3. 4. 5. 6. 7.
0813399718 9780813399713
99057762
Social sciences--Research--Methodology.
Multivariate analysis.
Regression analysis.
H62. / B454 2000
300.72
Understanding multivariate research : a primer for beginning social scientists / William D. Berry, Mitchell S. Sanders. - xiii, 87 pages : illustrations ; 20 cm
Includes bibliographical references (page 83) and index.
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. 1. 2. 3. 4. 5. 6. 7.
0813399718 9780813399713
99057762
Social sciences--Research--Methodology.
Multivariate analysis.
Regression analysis.
H62. / B454 2000
300.72