Interpreting and Using Regression, Tema 29SAGE, 1982 - 87 páginas Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts. |
Contenido
Editors Introduction | 5 |
Elementary Regression Theory and Social Science Practice | 12 |
Statistical Properties of Regression Estimates | 30 |
Sampling Distributions of Regression Coefficients | 37 |
Choosing a Specification | 51 |
The Importance of a Variable | 68 |
Conclusion | 77 |
84 | |
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Términos y frases comunes
additional answer assumptions average bias causal coefficient estimates compute confidence intervals consistent estimator correlation cube law data analysis data set Democratic dependent discussion disturbances dummy variables effect factors favored forecast functional form Gauss-Markov Theorem Hampshire hypothesis impact independent variables influence interpretation investigators jackknife large samples least squares less linear Manchester Union Leader Manchester vote mean meaningful measure Merrill Shanks minimize multicollinearity newspaper newspaper's normality null null hypothesis number of observations percentage points percentage seats plausible point cloud postulates Predicted Vote Difference primary elections Professor Achen question reasonable regres regression analysis regression coefficients regression equation regression model relationship result sampling errors scale scores sense set of observations significance tests simply sion slope social science applications social science practice social scientists social theory standard error standardized beta statistical methods statistically significant story per day theoretical tion true unbiased Union Leader example University unmeasured Veblen's z scores
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