A multivariate tool that combines a factor analytic and regression approach to provide path estimates to a proposed model but falls short of providing an assessment of fit is called:
A)partial least squares (PLS)
B)MANOVA
C)partial correlations
D)discriminant analysis

Question

Quizplus · Accepted Answer

Partial least squares (PLS) is a multivariate technique that combines factor analysis and regression approaches to estimate path coefficients in a proposed model. However, unlike structural equation modeling (SEM), PLS does not provide a measure of goodness-of-fit. Therefore, PLS is useful for preliminary analyses and exploratory research, but it may not be suitable for confirmatory hypothesis testing or model evaluation. MANOVA is a technique used to test whether the means of two or more groups differ on two or more dependent variables. Partial correlations are used to measure the strength and direction of the relationship between two variables while controlling for the effect of one or more additional variables. Discriminant analysis is a technique used to classify objects into predefined categories based on a set of predictor variables.

A Multivariate Tool That Combines a Factor Analytic and Regression