Exam 21: Multivariate Data Analysis: Analytics With Interdependence Techniques
Exam 1: The Role of Marketing Research75 Questions
Exam 2: Information Systems and Knowledge Management75 Questions
Exam 3: The Marketing Research Process75 Questions
Exam 4: The Human Side of Marketing Research: Organizational and Ethical Issues75 Questions
Exam 5: Qualitative Research Tools75 Questions
Exam 6: Secondary Data Research in a Digital Age75 Questions
Exam 7: Survey Research75 Questions
Exam 8: Observation75 Questions
Exam 9: Conducting Marketing Experiments75 Questions
Exam 10: Measurement and Attitude Scaling75 Questions
Exam 11: Questionnaire Design75 Questions
Exam 12: Sampling Designs and Sampling Procedures75 Questions
Exam 13: Big Data Basics: Describing Samples and Populations75 Questions
Exam 14: Basic Data Analysis75 Questions
Exam 15: Testing for Differences Between Groups and for Predictive Relationships75 Questions
Exam 16: Communicating Research Results75 Questions
Exam 17: Beyond the Basics in Basic Data Analysis75 Questions
Exam 18: Advanced Topics in Linear Analytics75 Questions
Exam 19: Testing Hypotheses With Glm Procedures75 Questions
Exam 20: Introducing Multivariate Data Analysis75 Questions
Exam 21: Multivariate Data Analysis: Analytics With Interdependence Techniques75 Questions
Exam 22: Primer on Structural Equations Modeling75 Questions
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Describe factor analysis.
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factor analysis is a prototypical multivariate,interdependence technique.factor analysis is a technique capable of statistically identifying a reduced number of factors from a larger number of measured variables.the factors themselves are not measured,but instead,they are identified by
forming a variate using the measured variables.
In cluster analysis,the researcher wants clusters to have high ____ within-clusters and high between-cluster ____.
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(Multiple Choice)
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Correct Answer:
D
The best single tool for assessing construct validity is ____.
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A
The common variance is the source of variance that is common to all variables.
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Promax is a rotation technique that produces factors that represent the degree of correlation among factors.
(True/False)
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Which measure indicates how strongly a measured variable is correlated with a factor?
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A(n)____ is an unobservable phenomenon that can be inferred from multiple measures.
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The mathematical way of further simplifying factor results that involves new reference axes for a set of variables is called ____.
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In cluster analysis,____________________ is among the most widely used tools for assigning observations to groups.
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A data reduction technique allows a researcher to summarize information from many variables into a reduced set of variables.
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The purpose of factor analysis is to summarize the information contained in a large number of variables into as large a number of factors as possible.
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An indication of how strongly a measured variable is correlated with a factor is given by the ____________________.
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Cluster analysis identifies objects or individuals that are similar to one another in some respect.
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One of the most widely used tools for assigning observations to groups in cluster analysis is ____.
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Underlying meanings that help provide structure to common observations are called ____.
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Cluster analysis,discriminant analysis,and logistic regression all represent ____________________ techniques.
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Which variance is indicated for the composite scale of four items with the following loadings: 0.7,-0.7,0.8,0.9?
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Parsimony means the researcher seeks a simple solution that still maintains sufficient meaning to represent reality.
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A researcher who seeks a simple solution that still maintains sufficient meaning to represent reality is seeking ____.
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