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Academic Year: | 2016/7 |
Owning Department/School: | Department for Health |
Credits: | 12 [equivalent to 24 CATS credits] |
Notional Study Hours: | 240 |
Level: | Intermediate (FHEQ level 5) |
Period: |
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Assessment Summary: | CW 100% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | Before taking this module you must take HL10040 |
Description: | Aims: To introduce a more advanced level of data analysis skills and to develop each student's ability to effectively communicate scientific research findings. Learning Outcomes: On successful completion of this unit, students will be able to: * Perform a comprehensive literature review within a given area of study * Compose a research proposal to address pertinent areas of investigation * Identify the most appropriate research design for the selected area * Understand the many factors influencing validity and reliability * Conduct advanced statistical procedures in sport and exercise science both with and without the assistance of statistical software packages * Interpret and present research outcomes both verbally and in text Skills: * Knowledge and Understanding (taught, facilitated and assessed) * Intellectual Skills (taught, facilitated and assessed) * Professional Practical Skills (taught, facilitated and assessed) * Written Communication (taught, facilitated and assessed) * Spoken Communication (taught, facilitated and assessed) * Numeracy (taught, facilitated and assessed) * Data acquisition, Handling and Analysis (taught, facilitated and assessed) * Information Technology (taught, facilitated and assessed) * Problem Solving (taught, facilitated and assessed) * Working Independently (facilitated and assessed) * Working as part of a group (facilitated and assessed) Content: Reviewing literature; presenting data graphically; presenting data orally; extension to basic inferential statistics; simple and factorial analysis of variance and covariance; normality and sphericity; statistical errors and multiple comparisons; statistical power and effect/sample size; magnitude-based statistics, methods of assessing reliability, validity and measurement error; multiple linear regression; in-depth analysis of research designs and their limitations. |
Programme availability: |
HL20107 is a Designated Essential Unit on the following programmes:Department for Health
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Notes:
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