Exam 13: Managing Data and Introducing Data Analysis
Exam 1: Introducing Business Research53 Questions
Exam 2: Developing Research Skills50 Questions
Exam 3: Understanding Research Ethics44 Questions
Exam 4: Understanding Research Philosophy54 Questions
Exam 5: Developing a Research Proposal53 Questions
Exam 6: Reviewing the Literature53 Questions
Exam 7: Understanding Research Methodology and Design53 Questions
Exam 8: Understanding Research Methods, Populations and Sampling53 Questions
Exam 9: Using Secondary Data and Archival Sources48 Questions
Exam 10: Using Observation53 Questions
Exam 11: Using Interviews and Focus Groups53 Questions
Exam 12: Using Questionnaires and Scales53 Questions
Exam 13: Managing Data and Introducing Data Analysis53 Questions
Exam 14: Analysing Quantitative Data53 Questions
Exam 15: Analysing Qualitative Data53 Questions
Exam 16: Drawing Conclusions and Writing Research53 Questions
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There are two different orders of data, quantitative data and qualitative data.
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In checking accuracy in data, and accuracy in the way in which data was loaded into the computer software package, the researcher is engaged in cleaning the data.
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It is of the utmost importance that the analysis and the findings from the analysis are grounded in the data.
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If there is a lot of quantitative data, it may be necessary, even advisable, to use a dedicated software package for the analysis.
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Mixed methods research is superior to research that generates only quantitative data or only qualitative data.
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The second stage of data analysis is interpretation, where the researcher interprets the data. The researcher attempts to detail and explain what the data mean, the meaning of the data.
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Quantitative data analysis is the analysis of numerical data using statistical methods.
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Sometimes researchers gather both quantitative and qualitative data for their research project; this is known as:
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Signs in society are signs because they signify something and anything that has signifying power can be studied:
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SPSS (Statistical Package for the Social Sciences) is a computer software package designed for the analysis of quantitative data.
(True/False)
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The four stages of data analysis are description, interpretation, conclusions, and theorisation.
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