Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Aims
To introduce students to and develop their understanding of research philosophy, design, and methodology.To develop students ability to propose and test hypotheses suitable for quantitative analysis.To enable students to handle data and utilise a range of analyses to answer questions with quantitative data.
Intended Learning Outcomes
Demonstrate the ability to select the appropriate research design and analytical methods from a range in line with the questions proposed.: 1,2Identify, use and correctly interpret the results of a range of quantitative analyses.: 1,2Demonstrate an understanding of the research process from conception to completion of write up.: 2,3
Students will spend approximately 90 minutes per week working through an asynchronous Sway of the weekly content totaling 18 hours.Students are also expected to spend approximately 1 hour on independent reading of recommended texts per week totaling 12 hours.Students will have 2 hours per week of scheduled lab time totaling 24 hours.Students will be given precursor activities each week to complete before their lab expected to take approximately 30 minutes totaling 6 hours.The remainder of the time is a proportional distribution between the assessments on the module with 90 hours split into 50 completing an independent report, 24 on the short answer analyses and 6 hours on half a years worth of RPT.
Description of Module Assessment
1: Class Test weighted 20%5x multiple choice questionnairesAs part of laboratory class activities students will sit a continuous assessment of 10-15 item MCQs every fortnight totaling 5, checking understanding of lecture content. These will be delivered via the KLE. The best 4 of the 5 marks will contribute to the student's final grade. The MCQ will have a 45 minute timer for completion once opened but students will be able to access it from Monday until the following Friday at 1pm.
We will investigate the viability of a Shiny/R app that auto generates data per student and will automatically check the results students upload. This will prevent collusion among students.
2: Individual Report weighted 70%Individual reportStudents will work in groups to devise, prepare and collect data on a research project from a choice of 'stakeholders'. There will be five stakeholders to choose from each on a differing topic requiring different analyses and considering different forms of evidence.
Once data collection is complete students write up their full 1500 word report individually.
3: Attendance Only weighted 10%Research participation timeThis assessment requires students to participate in 800 minutes of research participation time throughout both semesters. This is to allow students to see a broader range of research topics and designs than would be possible in the module content alone, it also gives them vital insight into research from the participants perspective.