Exam 14: Data Preparation
Exam 1: Introduction to Marketing71 Questions
Exam 2: Defining the Marketing Research73 Questions
Exam 3: Research Design89 Questions
Exam 4: Exploratory Research Design81 Questions
Exam 5: Exploratory Research Design101 Questions
Exam 6: Descriptive Research Design80 Questions
Exam 7: Causal Research Design109 Questions
Exam 8: Measurement and Scaling80 Questions
Exam 9: Measurement and Scaling113 Questions
Exam 10: Questionnaire and Form113 Questions
Exam 11: Sampling: Design and94 Questions
Exam 12: Sampling: Final and Initial66 Questions
Exam 13: Fieldwork54 Questions
Exam 14: Data Preparation123 Questions
Exam 15: Frequency Distribution, Crosstabulation, and Hypothesis154 Questions
Exam 16: Analysis of Variance and83 Questions
Exam 17: Correlation and Regression91 Questions
Exam 18: Discriminant and Logit59 Questions
Exam 19: Factor Analysis70 Questions
Exam 20: Cluster Analysis71 Questions
Exam 21: Multidimensional Scaling and111 Questions
Exam 22: Structural Equation Modeling89 Questions
Exam 23: Report Preparation and73 Questions
Exam 24: International Marketing73 Questions
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When utilizing univariate techniques, the samples are when the data for the two samples relate to the same group of respondents.
(Multiple Choice)
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utilizes questions that appear on a computerized gridpad. The responses are recorded directly into the computer using a sensing device.
(Multiple Choice)
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is the assignment of a code to represent a specific response to a specific question along with the data record and column position that code will occupy.
(Multiple Choice)
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When entering respondent data into a spreadsheet, each column contains the data for one respondent.
(True/False)
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are appropriate when there is a single measurement of each element in the sample, or there are several measurements of each element but each variable is analyzed in isolation.
(Multiple Choice)
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If you are counting and classifying questionnaires to determine if quotas and cell group sizes have been met, you are at the step of the data- preparation process.
(Multiple Choice)
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Statistical techniques can be classified as univariate or multivariate.
(True/False)
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In , also known as across- countries analysis, the data of all the respondents can be pooled and analyzed.
(Multiple Choice)
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For multivariate statistical techniques, when there is _, cluster analysis and multidimensional scaling can be used.
(Multiple Choice)
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The objective of this level of analysis is to assess the comparability of findings from one country to another.
(Multiple Choice)
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Treatment of missing responses poses problems, particularly if the proportion of missing responses is more than 10 percent.
(True/False)
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When utilizing univariate techniques, for the purpose of analysis, data pertaining to different groups of respondents, e.g., males and females, are generally treated as samples while the samples are when the data for the two samples relate to the same group of respondents.
(Multiple Choice)
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Information useful for formulating a data analysis strategy is not readily available on the Internet.
(True/False)
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Unsatisfactory responses uncovered in the editing stage of the data- preparation process are commonly handled by doing any of the following except .
(Multiple Choice)
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SPSS Missing Values Analysis can assist in diagnosing missing values and replacing missing values with estimates. The missing values can also be treated within the context of the SPSS Base module.
(True/False)
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Which statement is true concerning ethical issues concerned with data preparation?
(Multiple Choice)
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Ethical issues that arise during the data preparation and analysis step of marketing research process pertain mainly to the researcher.
(True/False)
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Which of the following is not a step in the data- preparation process?
(Multiple Choice)
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A codebook contains coding instructions and the necessary information about variables in the data set. It guides the coders in their work and helps the researcher to properly identify and locate the variables.
(True/False)
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