Matthew McBee 
Statistical Approaches to Causal Analysis [EPUB ebook] 

Ajutor

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.

It contains guidance on:



  • Selecting the most appropriate conditioning method for your data.

  • Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences.

  • Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data.


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.

€37.99
Metode de plata

Cuprins

Introduction

Conditioning

Directed Acyclic Graphs

Rubin′s Causal Model and the Propensity Score

Propensity Score Analysis

Instrumental Variable Analysis

Regression Discontinuity Design

Conclusion

Despre autor

Matthew Mc Bee is a Data Scientist with Eastman Chemical Company (Kingsport, TN, USA). Prior to that, he was a faculty member in the department of psychology at East Tennessee State University (Johnson City, TN, USA) for nine years, where he taught graduate and undergraduate statistics and data analysis courses. He served as a statistician at the Frank Porter Graham Child Development Institute at the University of North Carolina at Chapel Hill. Matthew holds a Ph.D. in Educational Psychology from the University of Georgia.
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Limba Engleză ● Format EPUB ● Pagini 160 ● ISBN 9781529711110 ● Mărime fișier 6.4 MB ● Editura SAGE Publications ● Oraș London ● Țară GB ● Publicat 2022 ● Ediție 1 ● Descărcabil 24 luni ● Valută EUR ● ID 8205191 ● Protecție împotriva copiilor Adobe DRM
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