Exam 22: Structural Equation Modeling and Path Analysis
Exam 1: Introduction to Marketing Research75 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach74 Questions
Exam 3: Research Design91 Questions
Exam 4: Exploratory Research Design: Secondary Data86 Questions
Exam 5: Exploratory Research Design: Qualitative Research103 Questions
Exam 6: Descriptive Research Design: Survey and Observation82 Questions
Exam 7: Causal Research Design: Experimentation114 Questions
Exam 8: Measurement and Scaling: Fundamentals and Comparative Scaling84 Questions
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Exam 10: Questionnaire and Form Design117 Questions
Exam 11: Sampling: Design and Procedures96 Questions
Exam 12: Sampling: Final and Initial Sample Size Determination71 Questions
Exam 13: Fieldwork55 Questions
Exam 14: Data Preparation126 Questions
Exam 15: Frequency Distribution, Cross-Tabulation, and Hypothesis Testing154 Questions
Exam 16: Analysis of Variance and Covariance83 Questions
Exam 17: Correlation and Regression92 Questions
Exam 18: Discriminant and Logit Analysis59 Questions
Exam 19: Factor Analysis70 Questions
Exam 20: Cluster Analysis73 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis111 Questions
Exam 22: Structural Equation Modeling and Path Analysis92 Questions
Exam 23: Report Preparation and Presentation75 Questions
Exam 24: International Marketing Research80 Questions
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Describe the assessment of reliability in a measurement model.
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Recall from Chapter 9 that an unreliable construct cannot be valid.So first we should assess the reliability of the constructs in the measurement model. As in Chapter 9, the coefficient alpha can be used to assess reliability.In addition, we compute composite reliability (CR), which is defined as the total amount of True score variance in relation to the total score variance. Composite reliability corresponds to the conventional notion of reliability in classical test theory (see Chapter 9).As general guidelines, composite reliabilities of 0.7 or higher are considered good.Estimates between 0.6 and 0.7 may be considered acceptable if the estimates of the model validity are good.
An exogenous construct is represented in an structural path model as a an oval with no
one-headed arrows going into it.
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True
SEM models are estimated so as to minimize the difference between the observed and
estimated covariance matrices.
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True
In moving from the measurement model to the structural model the error terms are correlated
with each other.
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When two constructs are theoretically unrelated to each other, the path between those two constructs should be ________.
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The confirmatory factor analysis is used to verify the factor structure of a set of observed
variables.
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SEM models are estimated so as to minimize the sum of squares between constructs.
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Having at least three observed variables for each latent construct is a way to help make sure
that the model is identified.
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Measured variables or indicators are the actual items that are measured using a survey
questionnaire.
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Once the validity of the measurement model has been established, you can proceed with the
specification of structural model.
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SEM can be thought of as a combination of which two techniques?
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