Exam 15: Data Preparation and Analysis Strategy
Exam 1: Introduction to Marketing Research84 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach88 Questions
Exam 3: Research Design91 Questions
Exam 4: Exploratory Research Design: Secondary Data69 Questions
Exam 5: Exploratory Research Design: Syndicated Sources of Secondary Data91 Questions
Exam 6: Exploratory Research Design: Qualitative Research94 Questions
Exam 7: Descriptive Research Design: Survey and Observation96 Questions
Exam 8: Causal Research Design: Experimentation102 Questions
Exam 9: Measurement and Scaling: Fundamentals and Comparative Scaling98 Questions
Exam 10: Measurement and Scaling: Noncomparative Scaling Techniques97 Questions
Exam 11: Questionnaire and Form Design92 Questions
Exam 12: Sampling: Design and Procedures90 Questions
Exam 13: Sampling: Final and Initial Sample Size Determination88 Questions
Exam 14: Fieldwork: Data Collection91 Questions
Exam 15: Data Preparation and Analysis Strategy91 Questions
Exam 16: Frequency Distribution, Hypothesis Testing, and Cross-Tabulation92 Questions
Exam 17: Hypothesis Testing Related to Differences87 Questions
Exam 18: Correlation and Regression90 Questions
Exam 19: Report Preparation and Presentation89 Questions
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________ data involves transferring the coded data from the questionnaires or coding sheets onto disks or directly into computers by key punching or other means.
(Multiple Choice)
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Coding consists of screening questionnaires to identify illegible, incomplete, inconsistent, or ambiguous responses.
(True/False)
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In a short essay, describe the process of coding and discuss the purpose of a field and a record. Include a specific example to support your answer. Next, describe the purpose of a codebook in the coding process.
(Essay)
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________ is a method of handling missing values in which for each calculation or analysis, only the respondents with complete responses are considered.
(Multiple Choice)
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According to the text, the symbols used in the assignment of codes to each possible response to each question is usually a number.
(True/False)
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The final data analysis plan should never differ from the preliminary plan for data analysis.
(True/False)
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Casewise deletion is a method of handling missing values in which for each calculation or analysis, only the respondents with complete responses are considered.
(True/False)
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Casewise deletion is an option available for the treatment of missing responses.
(True/False)
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Respondents with unsatisfactory responses may be simply discarded when the proportion of unsatisfactory respondents is ________.
(Multiple Choice)
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Deleting the question from the survey is an alternative for the treatment of unsatisfactory responses.
(True/False)
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Statistical techniques appropriate for analyzing data when there is a single measurement of each element in the sample are called ________.
(Multiple Choice)
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