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HL20107: Advancing research design and statistics

Academic Year: 2018/9
Owning Department/School: Department for Health
Credits: 12      [equivalent to 24 CATS credits]
Notional Study Hours: 240
Level: Intermediate (FHEQ level 5)
Period:
Academic Year
Assessment Summary: CW 100%
Assessment Detail:
  • Literature Review (CW 20% - Qualifying Mark: 1)
  • Presentations (CW 20% - Qualifying Mark: 1)
  • Coursework Test (CW 20% - Qualifying Mark: 1)
  • Coursework Project (CW 40% - Qualifying Mark: 1)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
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
  • UHHL-AFB18 : BSc(Hons) Health and Exercise Science (Year 2)
  • UHHL-AKB18 : BSc(Hons) Health and Exercise Science with Professional Placement (Year 2)
  • UHHL-AFB01 : BSc(Hons) Sport and Exercise Science (Year 2)
  • UHHL-ACB04 : BSc(Hons) Sport and Exercise Science with Combined Professional Placement and Study Abroad (Year 2)
  • UHHL-AAB02 : BSc(Hons) Sport and Exercise Science with Study year abroad (Year 2)
  • UHHL-AKB04 : BSc(Hons) Sport and Exercise Science with Professional Placement (Year 2)
  • UHHL-AFM18 : MSci(Hons) Health and Exercise Science (Year 2)
  • UHHL-AKM18 : MSci(Hons) Health and Exercise Science with Professional Placement (Year 2)
  • UHHL-AFM01 : MSci(Hons) Sport and Exercise Science (Year 2)
  • UHHL-ACM01 : MSci(Hons) Sport and Exercise Science with Combined Professional Placement and Study Abroad (Year 2)
  • UHHL-AAM01 : MSci(Hons) Sport and Exercise Science with Study year abroad (Year 2)
  • UHHL-AKM01 : MSci(Hons) Sport and Exercise Science with Professional Placement (Year 2)

Notes:

  • This unit catalogue is applicable for the 2018/19 academic year only. Students continuing their studies into 2019/20 and beyond should not assume that this unit will be available in future years in the format displayed here for 2018/19.
  • Programmes 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.
  • Undergraduates: .
  • Postgraduates: .