Exam 15: Using Multivariate Design and Analysis

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In most cases, the results of a factor analysis are easier to interpret without rotation of factors.

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An advantage of single multivariate analysis over multiple bivariate analyses is that:

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One good way to deal with the problem of measurement error is to:

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Describe structural equation modeling (SEM) and explain the two variables associated with SEM.

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Loglinear analysis can be used:

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A(n) _____ is a measure of a variable's reliability.

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Stepwise regression is used infrequently because it:

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Multivariate statistics are especially suited to research with small samples.

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On a scatter plot, an elliptical pattern of data points indicates the presence of heteroscedasticity.

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A design in which only one dependent variable is analyzed, or where multiple dependent variables are analyzed in separate statistical analyses, follows a _____ strategy.

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An assumption underlying bivariate correlational statistics is that the relationship between continuously measured variables is:

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In the context of the types of regression analysis, identify a true statement about simple regression analysis.

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The most popular orthogonal rotation method in factor analysis is:

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Principal components analysis is most appropriate when you have theoretically or empirically based predictions.

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In the context of factor analysis, identify a true statement about oblique rotation.

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_____ is used when you have a large set of variables that you want to describe in simpler terms and you have no a priori ideas about which variables will cluster together.

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Which of the following is a confirmatory application of structural equation modeling (SEM)?

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R-square provides an index of the amount of variability in the dependent variable accounted for by the predictor variables.

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Loglinear analysis is analogous to:

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Outliers affect both the magnitude and the sign of a calculated correlation.

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