This assignment assesses your understanding of quantitative data analysis and your ability to report
your findings accurately and succinctly.
 You are required to report on the findings of your statistical analyses in a style that follows
the standard IEEE report template (downloadable from the IEEE website).
 You will be provided with a complex data set, generated by students here at the University of
York, for the purpose of the analysis.
 The report will contain your analysis of the supplied data which was produced by using a
marking rubric or score sheet (attached as an appendix for your information).
 The .csv data file can be opened in MS Excel and basic statistical analyses performed. If you
are familiar with SPSS then you may also use that software to perform your analyses.
 The depth and breadth of analyses you make will ultimately be up to you but your mark will
depend on the evidence you provide to indicate your understanding of quantitative research
and statistical analysis techniques.
Guidance on Analyzing the data file based on the appended Presentation Assessment Rubric.
1) The available marks will be allocated based on the depth and breadth of your quantitative
statistical analysis and your discussion of the results.
2) You should consider, report and discuss comparisons across as many relevant data sets as
you feel are appropriate – it is suggested that you formulate an analysis plan. Some of the
most obvious data analysis objects are suggested below, others might emerge:
a. The actual mark given by academic assessors could be compared with the average
marks from other assessors
b. Performance of assessors of different gender
c. Performance of presenters of different gender
d. Any other appropriate statistical outputs
Additional information:
 The report should not be more than 3000 words.
 Credit will be given for the appropriate use of references in IEEE format.
 Maximum of 4 pages of appendices.
 Tables are included in the total word count.
 Cover page, contents list, figures, appendices and references are excluded from the
total word count.
Course Tutors: Mr Noel Jackson
Moderated by: Dr Bidyut Baruah
ELE00124M
ELE00124M Research Methods Data Analysis 2019-20
Individual Report (100%) – Marking and Feedback Sheet
Student name/identifier: Marker: Mark:
1.Report layout in IEEE format, readability, references (10 marks) Mark:
Comments:
2. Data cleansing and reasoning behind it (20 marks) Mark:
Comments:
3. Design of analysis and selected statistical tests (20 marks) Mark:
Comments:
4. Depth of statistical analysis (20 marks) Mark:
Comments:
5. Commentary, synthesis and discussion of results (30 marks) Mark:
Comments: