Exam 15: Using Multivariate Design and Analysis

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When employing a multivariate strategy, you analyze:

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In principal components analysis, the diagonal of a completed correlation matrix is filled with _____.

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In a(n) _____ model, there are no causal loops of variables.

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For most applications in psychological research, you should use the raw score regression weights to interpret a multiple regression analysis.

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The relationship between a set of predictor variables and a set of dependent variables can be determined using:

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In _____, several dependent variables are analyzed to find out if any of them share common underlying dimensions.

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Structural equation modeling (SEM) is a variant of path analysis.

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Which of the following statements is true about endogenous variables?

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Factor rotation is used to:

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MANOVA operates by:

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In _____ rotation, the axes representing the factors remain perpendicular when rotated around fixed points representing your data.

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Outliers can be handled:

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_____ is an application of multiple regression techniques to the testing of causal models.

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Which of the following is an advantage of a multivariate experimental strategy over a univariate strategy?

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In structural equation modeling (SEM), variables in a model that are not directly observable are called _____ variables.

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The conical pattern of data points on a scatter plot indicates that _____ is present.

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To avoid the problem of error of measurement, you should develop a well-defined measurement model.

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Multivariate analysis of variance (MANOVA) circumvents problems with the homogeneity assumptions and error-term selection and is used for within-subjects designs.

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By convention, loadings are interpreted only if they are equal to or exceed:

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Path analysis:

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