Advanced Statistics for Testing Assumed Causal Relationships is popular PDF and ePub book, written by Hooshang Nayebi in 2020-08-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Advanced Statistics for Testing Assumed Causal Relationships can be Read Online from any device for your convenience.
Advanced Statistics for Testing Assumed Causal Relationships Book PDF Summary
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.
Detail Book of Advanced Statistics for Testing Assumed Causal Relationships PDF
- Author : Hooshang Nayebi
- Release : 15 August 2020
- Publisher : Springer Nature
- ISBN : 9783030547547
- Genre : Mathematics
- Total Page : 125 pages
- Language : English
- PDF File Size : 21,8 Mb
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