Exam 16: Multivariate Analysis
Exam 1: Introduction23 Questions
Exam 2: The Nature of Science73 Questions
Exam 3: Research Ethics70 Questions
Exam 4: Elements of Research Design74 Questions
Exam 5: Measurement82 Questions
Exam 6: Sampling89 Questions
Exam 7: Experimentation75 Questions
Exam 8: Experimental Designs71 Questions
Exam 9: Survey Research76 Questions
Exam 10: Survey Instrumentation67 Questions
Exam 11: Field Research70 Questions
Exam 12: Research Using Available Data58 Questions
Exam 13: Multiple Methods65 Questions
Exam 15: Data Processing and Elementary Data Analysis72 Questions
Exam 16: Multivariate Analysis52 Questions
Exam 17: Writing Research Reports49 Questions
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Statistical control of extraneous variables in a survey is analogous to __________ in an experiment.
(Multiple Choice)
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In the model X → T →Y, the relationship between X and Y is spurious.
(True/False)
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The systematic component in a statistical model pertains to hypothesized relationships.
(True/False)
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In elaboration analysis, __________ has the same empirical requirements and outcomes as __________.
(Multiple Choice)
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Multiple regression is limited to the analysis of interval- and ratio-scale independent variables.
(True/False)
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One strength of elaboration analysis is that it permits the simultaneous control of several independent variables.
(True/False)
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Which of the following would not pose a problem for the interpretation of a multiple linear regression analysis?
(Multiple Choice)
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In elaboration analysis, statistically controlling for an intervening variable may reveal a spurious association.
(True/False)
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A researcher develops a multivariate model in which it is hypothesized that two of the variables, X and Y, are associated but not causally related. This relationship would be illustrated in an arrow diagram as
(Multiple Choice)
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A dummy variable is a dichotomous variable with variable categories arbitrarily coded 0 and 1.
(True/False)
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Suppose you wanted to include marital status, a nominal-scale variable with five categories, in a multiple regression analysis. This would require the
(Multiple Choice)
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What predicts the amount of time that people spend on the Internet? Based on 2016 GSS data, the regression of hours per week on the Internet (Y) on age, education (number of years completed), and verbal ability (number of correct words on a ten-item vocabulary test) produced the following equation:
Y = 9.327 - .161Age + .348Educ + .489Verbal
a. Explain the meaning of the regression coefficient for Educ (years of education completed)?
b. How much does hours on the Internet change for each increase of one year in a respondent's age?
c. Calculate the number of hours per week on the Internet for a 30-year-old with 16 years of education who got all ten words correct on the vocabulary test.
Using standardized regression coefficients, the multiple regression of Internet hours has the following values (all coefficients are statistically significant):
Y = - .179Age + .065Educ + .064Verbal
d. Which variable has the largest effect on weekly hours on the Internet?
(Essay)
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Suppose you examine the relationship between participation in interscholastic sports (yes/no) and grade-point average (low, medium, high). Controlling for the variable sex (male/female) would require the creation of __________ partial tables.
(Multiple Choice)
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Which of the following is not typically a step in elaboration analysis?
(Multiple Choice)
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Using the 2016 GSS, we regressed the number of hours of television watched on the average day on three variables: years of education, age, and marital status. Marital status is a dummy variable with 1 = married. We get the following results for the unstandardized regression coefficients: TVhours = 4.63 - .15Educ + .01Age - .34Married. What is the predicted number of hours of television viewing for a 20-year-old, unmarried person with 14 years of education?
(Multiple Choice)
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Leaving out important variables from a model is called a "specification error."
(True/False)
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Which statement below best summarizes the path model results?
(Multiple Choice)
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A zero-order relationship means that there is no association between the variables.
(True/False)
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In which of the following causal diagrams is the predicted relationship between X and Y negative?
(Multiple Choice)
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Each coefficient in a path analysis, called a "path coefficient,"
(Multiple Choice)
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