01885nam a2200337 i 4500 CSPC 20250902163739.0 241009s2021 caua b 001 0 eng d 9781526424730 CSPC CSPC eng rda HA29 .M4384 2021 519.53 M459s 23 Mcbee, Matthew, author. Statistical approaches to casual analysis / Matthew Mcbee. Los Angeles : SAGE, 2021. xi, 234 pages : illustrations ; 24 cm. text rdacontent unmediated rdamedia volume rdacarrier 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." Causation. Causation Statistical methods. Casual inference. Statistical methods. Statistics. ddc 0 23 BK 519.53 M459s GRD 2021 0 0 ddc 0 0 CSPC CSPC GRD 2024-10-09 0 GRD 519.53 M459s 2021 028399 2024-10-09 00:00:00 1-2 2024-10-09 BK 0 0 ddc 0 0 CSPC CSPC GRD 2025-09-02 0 GRD 519.53 M459s 2021 030247 2025-09-02 16:38:23 2-2 2025-09-02 BK 28360 28360