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EbookBell Team
5.0
38 reviewsThis book has been designed as a textbook of applied multivariate analysis
for testing the assumed casual relationships for masters-level students, Ph.D.
students and researchers of social sciences and behavior sciences, although it
can be used in many other disciplines, such as medicine, engineering, the
chemical and physical sciences.
It contains three chapters: multiple regression analysis, path analysis and
logistic regression analysis. Chapter 1 “Multiple Regression Analysis”
describes the multiple linear regression and shows that this technique can
accurately reconstruct the casual relationships between variables (phenomena).
It also describes the applications of multiple regression which are
mainly to test the hypotheses about casual connections and to present the
total contribution of the independent variables to the variation of the
dependent variable. Moreover, it explains that qualitative variables can be
used as binary variables or dummy variables in the linear regression analysis.
It also examines the assumptions of multiple linear regression, multicollinearity
and unusual cases. Finally, it presents the command of running multiple regression in SPSS.
The subject of the final chapter “Logistic Regression Analysis” is about a
statistical technique to examine the casual effects of the independent
variables on the probability of occurrence of an event, which is one of the
categories of the dependent variable. Also, it presents how it can specify the
pure effect of each of the independent variables on the dependent variable.
Finally, it presents the command of running the logistic regression in SPSS.
This textbook is the result of more than sixteen years of teaching the
quantitative method (survey) and advanced statistics in the field of sociology
and the interaction with students and their comments about statistical techniques.
It is partly an adaptation of another author’s book in advanced
statistics written in Persian (Nayebi 2013).
