2022/3, Trimester 2, ONLINE,
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Occurrence: | 002 |
Primary mode of delivery: | ONLINE |
Location of delivery: | CRAIGLOCKHAR |
Partner: | |
Member of staff responsible for delivering module: | Joanna McVicar |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
The LTA is rooted in the premise that the development of sound knowledge of the role of statistical methods is a cornerstone to the collection, analysis, and modelling of data to support business decision-making and research. The module is facilitated by two research-active academics with inputs from research projects and industry collaborations. The module is run in workshop format over two days and based on a participative and learner-focused pedagogical approach – where you will be encouraged to participate in hands on data analysis and knowledge discovery. Underpinning business and industrial research from both public and private sectors will support and refresh the module content.
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Formative assessment will be given in the second workshop session. You will present your analyses and interpretations from a dataset, provided on Moodle. Feed forward will be provided on your methodological approach, data selection, statistical approach, and interpretations of the output.
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The assessments are summative and will include an investigation using inferential statistics to address key research questions from a questionnaire created dataset, and a more complex study of linked data in which statistical modelling will be applied. The first report will task you with reporting Bivariate Statistical Analysis and Interpretation. The assessment is modelled after a market research study, where you will have to download qualitative data, develop hypotheses, select appropriate variables from the dataset to address their hypotheses, execute appropriate inferential statistics, and accurately interpret the findings, making industry recommendations. The second report will be a quantitative research report based on a topic of your choice, yet relevant to your degree plan. You will be assessed on your abilities to devise a research aim, generate hypotheses, select relevant data, apply modelling analytic techniques, validate their analysis, interpret, and present your work in a professional report.
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Online | Seminar | 16 |
Online | Guided independent study | 84 |
| Total Study Hours | 100 |
| Expected Total Study Hours for Module | 100 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Report | 40 | 1,2,3 | 19 | HOURS= 00.00, WORDS= 1500 |
Report | 60 | 4,5,6 | 21 | HOURS= 00.00, WORDS= 3000 |
Component 1 subtotal: | 40 | |
Component 2 subtotal: | 60 | | | |
Module subtotal: | 100 | | | |