Multivariate analysis is a form of quantitative analysis which examines three or more variables at the same time, in order to understand the relationships among them. Multivariate analysis makes it possible to determine whether there is a correlation, among young people, between the variables of gender and political attitudes.
The simplest form of multivariate analysis is one in which the researcher, interested in the relationship between an independent variable and a dependent variable, introduces an extraneous variable to ensure that a correlation between the two main variables is not spurious.
Univariate Analysis is used when analyzing variation in a data set in which there is only a single variable parameter of interest. Bivariate Analysis is useful in supporting the arguments of dependent development theorists that there is an association between dependency and underdevelopment. Regression Analysis measures association between two quantitative variables.
Presented in tabular form multivariate analysis divides the age variable into its constituent values (eg: young and old) and then subdivides each of these values into the values of female and male. Other forms of multivariate analysis are examined in methodology texts under the heading of the elaboration model, and here one finds conditional variables, intervening variables, extraneous variables. As the name indicates, multivariate analysis comprises a set of techniques dedicated to the analysis of data sets with more than one variable. Several of these techniques were developed recently in part because they require the computational capabilities of modern computers. Multivariate Analysis techniques are not always united in their presentation, and the choice of the proper technique for a given problem is often difficult.
Multivariate Analysis (Probability and Mathematical
Statistics) (Paperback) by Kanti V. Mardia, J. T. Kent , J. M. Bibby.
Multivariate Statistical Analysis: A Conceptual Introduction by Sam Kash Kachigan (Paperback - Jun 1991).
Multivariate Data Analysis (6th Edition) by Joseph F. Hair, Bill Black, Barry Babin, and Rolph E. Anderson (Hardcover - Nov 7, 2005).
Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) by Alvin C. Rencher (Hardcover - Mar 7, 2002).
An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics) by T. W. Anderson (Hardcover - Jul 25, 2003).
Applied Statistical Multivariate Analysis by Wolfgang K H rdle and Leopold Simar (Paperback - Sep 10, 2007).
Applied Statistical Multivariate Analysis (6th Edition) by Richard A. Johnson and Dean W.
Wichern (Hardcover - April 2, 2007).
Multivariate Data Analysis (7th Edition) by Joseph F. Hair, William C. Black, Barry J. Babin, and Rolph E. Anderson (Hardcover - Feb 23, 2009).
An Introduction to Applied Multivariate Analysis by Tenko Raykov and George A. Marcoulides (Hardcover - Mar 10, 2008).
SOCIAL BOND THEORY
AND BINGE DRINKING AMONG COLLEGE STUDENTS: A MULTIVARIATE ANALYSIS.
College Student Journal, September 1, 1999, DURKIN, KEITH F.; WOLFE, TIMOTHY W.; CLARK, GREGORY.
This paper presents the results of a research project that examined the influence of social bond variables on binge drinking in a sample of college students. A questionnaire containing items which reflected a number of social bond variables and a measure of frequency of binge drinking was administered to a sample (n=247) of college students. The results indicated that nearly all of the social bond measures were inversely related to the frequency of binge drinking. A multivariate analysis model that used these social bond measures explained approximately one-quarter of the variance.