Applied Univariate, Bivariate, and Multivariate Statistics
Abdolvahab Khademi · Journal of Statistical Software · 2016
Most general statistics books for social and behavioral sciences are characterized by extensive exposition of concepts for the sake of simplifying the mathematical and technical aspects of statistics.In scope, they are very similar in presenting techniques from the very basic to more intermediate.This depth and scope of materials satisfy most learning and teaching goals for students in undergraduate programs, such as psychology, education, nursing, and economics, among others.More advanced topics, such as factor analysis, principal component analysis, and structural equation modeling are usually presented in more specialized books, and usually in graduate programs or workshops.Applied Univariate, Bivariate, and Multivariate Statistics attempts to be a book that starts from intermediate statistics up to more specialized techniques commonly found in graduate programs.As the title of the book suggests, the author has intended an applied treatment of the subject matter but with the distinguishing aspect of being more technical even in the topics commonly covered in the majority of textbooks in behavioral sciences.The programming language R and the statistical package SPSS (script) are used to illustrate how the techniques are implemented.