Statistical modeling and inference for social science /
xviii, 373 p. : illustrations ; 24 cm. - (Analytical methods for social research ) Content notes : 1. Introduction;
2. Descriptive statistics: data and information;
3. Observable data and data-generating processes;
4. Probability theory: basic properties of data-generating processes;
5. Expectation and moments: summaries of data-generating processes;
6. Probability and models: linking positive theories and data-generating processes;
7. Sampling distributions: linking data-generating processes and observable data;
8. Hypothesis testing: assessing claims about the data-generating process;
9. Estimation: recovering properties of the data-generating process;
10. Causal inference: inferring causation from correlation; Afterword: statistical methods and empirical research;
Bibliography;
Index.
