Statistical Approaches to Causal Analysis (The SAGE Quantitative Research Kit)

✍ Scribed by Matthew McBee

Publisher: SAGE Publications Ltd
Year: 2022
Tongue: English
Leaves: 264
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

A practical, up-to-date, step-by-step guidance on causal analysis for advancing students, this volume of the SAGE Quantitative Research kit features worked example datasets throughout to clearly demonstrate the appication of these powerful techniques, giving students the know-how and the confidence to succeed in their quantitative research journey.

Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to your data, discussing key concepts such as:

· Directed acyclic graphs (DAGs)

· Rubin’s Causal Model (RCM)

· Propensity Score Analysis

· Regression Discontinuity Design

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