Exam 10: Making Sense of Multivariate Statistics
Exam 1: Research in the Real World6 Questions
Exam 2: Theory and Models17 Questions
Exam 3: Qualitative Research20 Questions
Exam 4: Measurement29 Questions
Exam 5: Sampling22 Questions
Exam 6: Secondary Data16 Questions
Exam 7: Surveys and Other Primary Data18 Questions
Exam 8: Making Sense of the Numbers18 Questions
Exam 9: Making Sense of Inferential Statistics13 Questions
Exam 10: Making Sense of Multivariate Statistics24 Questions
Exam 11: Causation16 Questions
Exam 12: Observational Studies With Control Variables11 Questions
Exam 13: Multiple Regression to Disentangle Causal Effects9 Questions
Exam 14: Randomized Experiments11 Questions
Exam 15: Natural and Quasi Experiments10 Questions
Exam 16: The Politics, Production, and Ethics of Research9 Questions
Exam 17: How to Find, Review and Present Research12 Questions
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____ is a method that uses data from time series in the past to predict future values of the dependent variable.
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Correct Answer:
B
The _______ is the most easily interpretable method for doing a multiple regression with a dummy dependent variable.
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Correct Answer:
B
In conducting multiple regression analysis, a researcher must be aware that other factors and influences may also affect the standard error, such as:
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Correct Answer:
D
Professor Nguyen is interested in studying the effects of gender on shopping practices .In her study, she distinguishes between gender by having a variable which takes on the value of 1 for females and takes on the value of 0 for males .This is an example of using a(n):
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Professor Hernandez is interested in comparing the means of a dependent variable across treatment categories for an experimental research project she has conducteD .She can use the method:
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____ estimates the pattern of relationships between variables in a presumed causal structure.
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An example of a statistical software package that can be used to run multiple regressions would be:
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Professor Jones wants to adjust for the number of variables in her multiple regression equation so as to increase the predictive power of her newly added variable .To do so, she will use the:
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A researcher is examining weight in relation to exercise patterns .Since weight cannot take on negative values below zero, it is considered to be a:
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Professor Goldman is interested in looking at education at the individual level, training at the organizational level, and industry growth at the national level .She is creating a:
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An agency analyst seeks to utilize multiple regression analysis for a study on health care .She wants to specifically determine if the outcome of a policy is explained by other factors (such as staffing, budgets, technical resources) .In this research design, policy outcome is the ______variable, while the other factors represent the ________variables.
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-A simple regression is run with the log of annual income in dollars as the dependent variable and the number of years of education as the independent variable .The coefficient of education will provide the following information:

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In his research on college students, Professor Gupta is interested in grouping several of his variables on study habits into a smaller set of underlying factors which measure student success in college .He is using the method of:
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____ often consist of repeated measures of the same variable from the same individuals over time.
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________ combines both factor and path analysis into one estimation methoD.
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Researchers use ___ equations where the log odds of an event are predicted, and _______ equations where the probability is predicteD.
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In measuring the outputs of her program, an analyst found that one of the independent variables she is using is a perfectly correlated to another, forcing her to use only one of the two in her multiple regression analysis .This is an example of:
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A researcher wanted to know whether contracting out government services improves municipal efficiency .The political party in charge is unrelated to its government's efficiency but strongly correlated with contracting out .If political party were added as a control variable in this model, the standard error would most likely ...
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In a survey, an individual's health insurance status is reported as being in one of the following categories: Medicare, Medicaid, Employer provided insurance, Individual private insurance, Other insurance or UninsureD .If health insurance status is to be used as an independent variable in a regression, the following are acceptable combinations of dummy variables:
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