Exam 7: Causal Research Design: Experimentation
Exam 1: Introduction to Marketing Research78 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach77 Questions
Exam 3: Research Design95 Questions
Exam 4: Exploratory Research Design: Secondary Data86 Questions
Exam 5: Exploratory Research Design: Qualitative Research111 Questions
Exam 6: Descriptive Research Design: Survey and Observation88 Questions
Exam 7: Causal Research Design: Experimentation116 Questions
Exam 8: Measurement and Scaling: Fundamentals and Comparative Scaling89 Questions
Exam 9: Measurement and Scaling: Noncomparative Scaling Techniques121 Questions
Exam 10: Questionnaire and Form Design121 Questions
Exam 11: Sampling: Design and Procedures99 Questions
Exam 12: Sampling: Final and Initial Sample Size Determination75 Questions
Exam 13: Fieldwork61 Questions
Exam 14: Data Preparation129 Questions
Exam 15: Frequency Distribution,cross-Tabulation,and Hypothesis Testing154 Questions
Exam 16: Analysis of Variance and Covariance84 Questions
Exam 17: Correlation and Regression92 Questions
Exam 18: Discriminant and Logit Analysis60 Questions
Exam 19: Factor Analysis70 Questions
Exam 20: Cluster Analysis73 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis107 Questions
Exam 22: Structural Equation Modeling and Path Analysis92 Questions
Exam 23: Report Preparation and Presentation81 Questions
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Matching is a method of controlling extraneous variables that involve matching test units on a set of key background variables before assigning them to the treatment conditions.
(True/False)
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What is the difference between a times series design and a multiple times series design?
(Essay)
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The one-group pretest-posttest design may be symbolized as O1 X2 O2. In this design,a group of test units is measured ________.
(Multiple Choice)
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The longer the time interval between observations,the greater the possibility that history will confound an experiment.
(True/False)
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A ________ design to measure the effectiveness of a test commercial for Sears would be implemented as follows.Two groups of respondents would be recruited on the basis of convenience.Only the experimental group would be exposed to the TV program containing the test (Sears)commercial.Then attitudes toward the department store of both the experimental and control group respondents would be measured.The effectiveness of the test commercial is measured as O1 - O2.
(Multiple Choice)
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The one-group pretest-posttest is a type of ________.These designs do not control for extraneous factors by randomization.
(Multiple Choice)
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Which of the following statements is a limitation of Latin square designs?
(Multiple Choice)
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Using the set of symbols commonly used in marketing research to denote experimental designs,which symbol below represents the process of observation or measurement of the dependent variable on the test units or group of units?
(Multiple Choice)
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Which statement is not true concerning a standard test market?
(Multiple Choice)
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Which of the following is a reason why experiments may be hard to administer?
(Multiple Choice)
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Full experimental control is available in quasi-experimental designs;therefore,the researcher does not need to take into account the specific variables that are not controlled.
(True/False)
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Descriptive survey studies do not meet all conditions required for causality.
(True/False)
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Which experimental design means that two groups of test units were randomly assigned to two different treatment groups at the same time,and the dependent variable was measured in the two groups simultaneously?
(Multiple Choice)
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Experimental designs may be classified as preexperimental,true experimental,quasi-experimental,or statistical.
(True/False)
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In practice,a control group is sometimes defined as the group that receives the current level of marketing activity,rather than a group that receives no treatment at all because it is difficult to reduce current marketing activities,such as advertising and personal selling,to zero.
(True/False)
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________ involves measuring the extraneous variables and adjusting for their effects through statistical analysis.
(Multiple Choice)
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