Description
Product ID: | 9781526424730 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Series: | The SAGE Quantitative Research Kit |
Title: | Statistical Approaches to Causal Analysis |
Authors: | Author: Matthew McBee |
Page Count: | 264 |
Subjects: | Research methods: general, Research methods: general |
Description: | Select Guide Rating A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis. This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research.
Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. |
Imprint Name: | Sage Publications Ltd |
Publisher Name: | Sage Publications Ltd |
Country of Publication: | GB |
Publishing Date: | 2022-03-21 |