Authors:
- Provides nontechnical descriptions that help the reader to learn quickly
- Includes twenty-one examples on test of the causal relationships that help the reader to understand applications well
- Presents innovative explanations of the various effects of variables, raw, direct, indirect, spurious, and pure
Part of the book series: University of Tehran Science and Humanities Series (UTSHS)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.
Authors and Affiliations
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Department of Sociology, University of Tehran, Tehran, Iran
Hooshang Nayebi
Bibliographic Information
Book Title: Advanced Statistics for Testing Assumed Causal Relationships
Book Subtitle: Multiple Regression Analysis Path Analysis Logistic Regression Analysis
Authors: Hooshang Nayebi
Series Title: University of Tehran Science and Humanities Series
DOI: https://doi.org/10.1007/978-3-030-54754-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-54753-0Published: 16 August 2020
Softcover ISBN: 978-3-030-54756-1Published: 17 August 2021
eBook ISBN: 978-3-030-54754-7Published: 15 August 2020
Series ISSN: 2367-1092
Series E-ISSN: 2367-1106
Edition Number: 1
Number of Pages: XII, 113
Number of Illustrations: 24 b/w illustrations, 101 illustrations in colour
Topics: Applied Statistics, Mathematics in the Humanities and Social Sciences, Applications of Mathematics, Statistical Theory and Methods