Exam 18: Multivariate Statistics

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What is the most general method of conducting means comparisons that have been planned a priori?

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Which of the following is NOT a post hoc means comparison?

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A researcher wants to use scores on a measure of self-esteem to predict a group of outcome measures, including marital satisfaction and employment satisfaction. Which of the following procedures would be most useful?

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Which of the following is a disadvantage of a MANOVA analysis?

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A means comparison is used

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__________ are designed to control the experimentwise alpha level in means comparisons that are made after the data have been collected.

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Which of the following procedures protects against increases in the experimentwise alpha by only allowing post hoc comparisons if the initial ANOVA F value is significant?

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Which of the following best describes the goal of a structural equation analysis?

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After testing the F value in an ANOVA, the researcher may want to follow up with

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Contrast weights are set by the researchers in order to

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Natalie is interested in predicting interpersonal attraction from knowledge about proximity and physical attractiveness. She first enters these two variables in her analysis. Then, after obtaining preliminary results, she adds the predictor variables of income and status. Natalie is using which of the following?

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One of the advantages of a structural equation analysis is that

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Which of the following is NOT considered a multivariate statistic?

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Which of the following statistical tests is used to determine whether the observed relationships among a set of variables conforms to a theoretical prediction about how those variables should be related?

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A researcher has developed a theory about which predictor variable should be entered first, second, and third to predict the outcome variable. He will want to use which of the following?

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Which of the following is NOT a use of multiple regression analysis?

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A researcher has conducted a structural equation analysis. Which of the following will she use to test how well the collected data fit the hypothesized relationship?

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According to the multiple regression equation, the best prediction of the outcome variable (Ŷ) is equal to

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In a contrast analysis, the sum of the contrast weights

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