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This course focuses on the analysis and interpretation of data. The focus will be placed on data preparation and description and quantitative and qualitative data analysis. The course commences with a discussion of data preparation, scale internal consistency, appropriate data analysis and the Pearson correlation. We will look at statistics that can be used to investigate relationships and discuss statistics for investigating relationships with a focus on multiple regression. The course continues with a focus on logistic regression, exploratory factor analysis and the outcome of factor analysis. We are going to explore how to conduct an experiment and an observational study, as well as content analysis and the use of digital analytics in market research. The course ends with a consideration of digital analytics, with an emphasis on digital brand analysis, audience analysis, digital ecosystem analysis, Return on Investment (ROI), and the role of digital analytics in market research.
Overview
Syllabus
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- Week 1
- This week commences with a discussion of data preparation and scale internal consistency. We will then look at appropriate data analysis and the Pearson correlation. The week ends with a focus on statistics that can be used to investigate relationships.
- Week 2
- The week commences with a discussion of statistics for investigating relationships with a focus on multiple regression. The week continues with a focus on logistic regression and exploratory factor analysis. The week ends with a discussion of the outcome of factor analysis.
- Week 3
- The week commences with a discussion of how to conduct an experiment and an observational study. The week ends with an exploration of content analysis and the use of digital analytics in market research.
- Week 4
- This week explores digital analytics, with an emphasis on digital brand analysis, audience analysis, digital ecosystem analysis, Return on Investment (ROI), and the role of digital analytics in market research.
