NES8006 : Data analysis, interpretation and presentation for MSc
NES8006 : Data analysis, interpretation and presentation for MSc
- Offered for Year: 2024/25
- Module Leader(s): Dr Helen Adamson
- Owning School: Natural and Environmental Sciences
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To be equipped to analyse data for qualitative or quantitative research projects.
Outline Of Syllabus
Will focus on preparing data for analysis, understanding which test to do, how to do it in RStudio and how to present results for the dissertation
• Qualitative data: research methods and evaluative criteria;
Quantitative data: Correlation and regression; parametric and non-parametric comparison of means; multivariate techniques using RStudio.
Learning Outcomes
Intended Knowledge Outcomes
By the end of the Module a successful student will be able to describe the types of experimental data and variables.
Intended Skill Outcomes
By the end of the Module a successful student will be able to:
1. manipulate and present data so it is suitable for analysis
2. suggest which statistical test to use in which situation
3. carry statistics out in R including: correlation, regression, parametric and non-paramentric comparison of
means, chi-squared tests, multivariate analyses. GLM includes e.g. multiway anovas, basic mixed models,
repeated measures.
4. present statistical methods and results in a manner suitable for a scientific paper
5. apply and evaluate the use of qualitative research methods in a research project
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 5:00 | 5:00 | Alternate assessment |
| Guided Independent Study | Assessment preparation and completion | 1 | 7:00 | 7:00 | Alternate assessment revision |
| Structured Guided Learning | Academic skills activities | 9 | 2:00 | 18:00 | Statistics activities |
| Scheduled Learning And Teaching Activities | Practical | 9 | 2:00 | 18:00 | Computer practical |
| Guided Independent Study | Directed research and reading | 1 | 39:00 | 39:00 | Writing up notes, reading on topics of interest |
| Scheduled Learning And Teaching Activities | Practical | 1 | 2:00 | 2:00 | Synchronous online stats practical |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 10 | 1:00 | 10:00 | Online drop in |
| Scheduled Learning And Teaching Activities | Module talk | 1 | 1:00 | 1:00 | Synchronous online module talk |
| Total | 100:00 |
Teaching Rationale And Relationship
A combination of lectures with associated practicals to allow students to learn theory then practise data analysis techniques in computer labs.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 1 | M | 100 | Alternate assessment |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Written Examination | 1 | M | Practice exam that is made available with answers. Students can self-assess or peer assess. |
Assessment Rationale And Relationship
Assessment will assess students’ learning as they will be presented with data sets; they have to decide how best to analyse, interpret and present the data to answer specific questions.
Each practical will provide examples which potentially mimic dissertation data, and also act as practice for their assessment.
Study Abroad students may request to take their exam before the semester 1 exam period, in which case the format of the paper may differ from that shown in the MOF. Study Abroad students should contact the school to discuss this.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- NES8006's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- NES8006's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.