Learning Resource and Development

Statistical approaches to casual analysis /

Mcbee, Matthew,

Statistical approaches to casual analysis / Matthew Mcbee. - xi, 234 pages : illustrations ; 24 cm. - The Sage quantitative research kit .

Includes bibliographical references and index.

Introduction -- Conditioning -- Directed acyclic graphs -- Rubin's causal model and the propensity score -- Propensity score analysis -- Instrumental variable analysis -- Regression discontinuity design -- Conclusion.

"A practical, up-to-date, step-by-step and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involve in carrying out various types of statistical causal analysis. Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to data, discussing key concepts such as: directed acyclic graphs (DAGs), Rubin’s Causal Model (RCM), Propensity Score Analysis, and Regression Discontinuity Design."

9781526424730


Causation.
Causation--Statistical methods.
Casual inference.
Statistical methods.
Statistics.

HA29 / .M4384 2021

519.53 / M459s