Univariate Analysis, Bivariate Analysis, Regression Analysis

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 (eg: gender and political attitudes), introduces an extraneous variable (eg: age) to ensure that a correlation between the two main variables is not spurious.

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)

Using Multivariate Statistics (5th Edition) by Barbara G. Tabachnick and Linda S. Fidell
(Hardcover - Mar 3, 2006)

Multivariate Data Analysis (7th Edition) by Joseph F. Hair, William C. Black, Barry J.
Babin, and Rolph E. Anderson (Hardcover - Feb 23, 2009)

Reading and Understanding Multivariate Statistics by Laurence G. Grimm and Paul R. Yarnold
(Paperback - Jan 1995)

An Introduction to Applied Multivariate Analysis by Tenko Raykov and George A. Marcoulides
(Hardcover - Mar 10, 2008)

Multivariate Statistical Methods: A Primer, Third Edition by Bryan F.J. Manly (Paperback -
Jun 30, 2004)

**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.