An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models for continuous observed variables, and their application ...

Frank Henry, Multivariate Analysis and Ordinal Data, American Sociological Review, Vol. 47, No. 2 (Apr., 1982), pp. 299-304 ...

Enabling multivariate regression analysis is essential because researchers are typically interested in knowing how the probability of answering the sensitive question affirmatively varies as a ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used ...

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis ...

Multivariate analysis uses statistical tools such as multiple regression analysis, cluster analysis and conjoint analysis to determine the relationships between factors.