Exam 24: Multivariate Statistical Analysis

When a multivariate statistical technique is used to predict job satisfaction from several independent variables, such as age, salary, and number of years in that position, the researcher is studying _____.

The rule of parsimony basically means "less is better."

Multivariate techniques that try to group things together are known as ______ methods.

A researcher has 57 variables in a large dataset and wishes to summarize the information from them into a reduced set of variables. Which multivariate technique should be used?

______ predicts several dependent variables by using several independent variables.

A researcher is analyzing data and is concerned over how strongly interrelated the independent variables of attitude toward one's employer and attitude toward one's coworkers are in his model. The researcher is concerned about _____.

Statistical methods that permit the study of three or more variables at the same time are called ______ statistical analysis.

The correlation between two variables after taking into account the fact that they are correlated with other variables too is called _____.

Which mulitvariate technique groups observations based on similarity among measured variables?

Explain how MANOVA models differ from ANOVA models.

Nominal and ordinal scales are examples of ______ scales, while interval and ratio scales are examples of ______ scales.

The most common rule for extracting factors in factor analysis is to base the number of factors on the number of eigenvalues greater than 1.0

Factor rotation is a mathematical way of simplifying factor results.

Which of the following suggests that an explanation involving fewer components is better than one involving more?

Which mulitvariate techniques measures objects in multidimensional space on the basis of respondents' judgments of the similarity of objects?

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

If the regression equation is: Y = 98.3 +.35X₁ + 22.3X₂, the predicted value for Y when X₁ = 3 and X₂ = 5 is _____.

Mulitvariate dependence techniques are variants of the general linear model (GLM).

Which of the following is an appropriate technique when the inputs are metric?

If a bank wants to differentiate between successful and unsuccessful credit risks for home mortgage loans, it should use _____.