HL30568: Advanced quantitative and qualitative data analyses
[Page last updated: 23 October 2023]
| Academic Year: | 2023/24 |
| Owning Department/School: | Department for Health |
| Credits: | 7.5 [equivalent to 15 CATS credits] |
| Notional Study Hours: | 150 |
| Level: | Honours (FHEQ level 6) |
| Period: |
- Semester 2
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| Assessment Summary: | CWOI 25%, CWSI 75% |
| Assessment Detail: |
- Set exercises (CWSI 75%)
- Oral presentation and assessment (CWOI 25%)
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| Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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| Requisites: |
Before taking this module you must take HL20535
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| Learning Outcomes: |
- Identify suitable statistical analyses in response to research questions and complex designs
- Conduct a range of univariate and multivariate statistical analyses using professional software
- Interpret statistical analyses to draw valid conclusions regarding research questions
- Conduct qualitative data analysis using relevant IT skills and software including creating a project, creating and importing sources, coding data and performing basic queries
- Synthesise and combine quantitative and qualitative research methods to analyse and interpret data in sport and exercise science
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| Aims: | To advance students' ability to analyse and interpret quantitative and qualitative data, gain the confidence and competence to conduct relevant analyses for individual projects
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| Content: | This unit will provide a step-by-step overview of advanced psychological research methods in a practical and jargon-free manner. It comprises of seminar sessions providing a broad overview to each topic before students have the opportunity to apply their learning with real data sets in computer workshop sessions. The overall objective here is equip students with a background in advanced psychological research methods so they can confidently apply the correct data analyses to their specific research questions. To do so, we will walk students through a number of common quantitative and qualitative analyses, from data entry, through to analytic methods, through to interpretation and beyond.
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| Course availability: |
HL30568 is a Must Pass Unit on the following courses:
Department for Health
- UHHL-AFM22 : MSci(Hons) Sport and Exercise Science (Year 3)
- UHHL-ACM22 : MSci(Hons) Sport and Exercise Science with Combined Professional Placement and Study Abroad (Year 4)
- UHHL-AAM22 : MSci(Hons) Sport and Exercise Science with Study year abroad (Year 4)
- UHHL-AKM22 : MSci(Hons) Sport and Exercise Science with Professional Placement (Year 4)
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Notes: - This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
- Courses and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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