Exam 21: Multivariate Data Analysis: Analytics With Interdependence Techniques

The error variance is the source of variance that is external to variables or factors such as faulty measurement or other error sources.

Cross-loadings exist in a solution with simple structure.

Multivariate statistical techniques fall into two broad categories of using dependence and interdependence techniques.

A researcher who is uncertain about the number of factors and which variables belong to each factor might pursue ____.

The most common type of factor rotation is ____.

In factor analysis,"communality" is a measure of the percentage of a variable's variation that can be explained by the factors.

Multivariate statistics that make no distinction between independent and dependent variables and seek to identify the underlying structure of a set of data are known as ____________________ techniques.

Which type of variance is unique to each individual variable?

The two basic groups of multivariate techniques are ____.

All of the following are examples of interdependence methods of analysis EXCEPT ____.

Which type of variance is characterized by communality?

Which statistical technique identifies components based on all three sources of variance?

A factor loading indicates how strongly a measured variable is correlated with a factor.

In cluster analysis,each cluster should have low internal homogeneity and high external heterogeneity.

What are the two important pieces of information that exploratory factor analysis provides?