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BSc Educational Psychology / Course details
Year of entry: 2023
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Course unit details:
Data Analysis in Psychology and Education
|Unit level||Level 2|
|Teaching period(s)||Full year|
|Available as a free choice unit?||No|
Building upon foundation skills from RIPE1, students will further their skills and understanding in obtaining evidence and move to consider a range of analytical techniques. Major topics include:
- Analytical lens such as IPA & thematic analysis, their purpose, strengths and limitations.
- Statistical techniques covering a range of different designs
- The use of software in data analysis
- A further consideration and application as to the specifics of ethical practice and conduct in all stages of research
In addition, running through the unit are structured opportunities to practice and develop key research and critical thinking skills. This is augmented through a number of practical activities in principle areas of psychology (e.g. memory, attitudes, individual differences), which will be used to structure a series six of mini-studies (three qualitative, three quantitative). Rationale, design, and ethical considerations are discussed class, and then students collect their own primary data, following the agreed template. Students then elect two (one qualitative, one quantitative) to write up for their assignments (see below).
|Unit title||Unit code||Requirement type||Description|
|Research issues in psychology and education (1)||EDUC13060||Pre-Requisite||Compulsory|
To provide coverage of the BPS qualifying syllabus core area of research methods.
To build upon foundation skills developed in Research issues in Psychology and Education (1) (RIPE1), specifically in relation to the analysis and interpretation of different data strands in research
Teaching and learning methods
Content sessions (e.g. including discussion and debate, case/scenario based learning, and other approaches to learning and teaching)
Guided experiential learning through data collection
Supplementary e-learning resources e.g. online videos provided online
Knowledge and understanding
Demonstrate an awareness of ethical
principles and approval procedures, and be aware of the ethical context of psychology as a discipline.
Identify a range of methods and approaches (and their underlying paradigms) for the use of collecting evidence
Reason analytically and demonstrate competence in a range of quantitative and qualitative analytical techniques; Demonstrate competence and criticality in the interpretation of evidence from a range
Demonstrate substantial competence in range of research skills through practical demonstration
Transferable skills and personal qualities
Be able to problem solve by clarifying questions, consideration solutions and evaluating likely outcomes
Take charge of their own learning and undertake guided independent research Written communication
Oral communication (contributing to discussion and debate)
Working with others (group work, case-
IT skills (word processing, accessing electronic databases and library facilities, managing references)
|Assessment task||Length||How and when feedback is provided||Weighting within unit|
|Following practical data collection, students are to select one of three qualitative mini-studies to write up a qualitative research report||1,500||Written feedback (utilising Turn-it-in), within University guidelines.||50%|
|Following practical data collection, students are to select one of three quantitative mini-studies to write up a quantitative research report||1,500||Written feedback (utilising Turn-it-in), within University guidelines.||50%|
Written feedback (utilising Turn-it-in), within University guidelines.
Bazeley, P.& Jackson, K. (2013). Qualitative data analysis with NVivo. London: Sage.
Braun, V. & Clarke, V. (2013). Successful qualitative research: a practical guide for beginners. London: Sage.
Dancey, C., & Reidy, J. (2014).Statistics without maths for psychology: 6h Edition. Essex:Peason.
Field, A. (2013). Discovering Statistics Using IBM SPSS 4th Edition. Oxford: Sage.
Mertens, D. (2014). Research and Evaluation in Education and Psychology (4th Edition). London: Sage.
Pallant, J. (2013). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows 5th Edition. Glasgow: Open University Press.
|Scheduled activity hours|
|Independent study hours|
|Margarita Panayiotou||Unit coordinator|
|Staff/ Student contact|| |
20* interactive lectures @ 1.5 hours = 30
|Mini-study data collection|| |
6 studies @ 4 hours =24
|Private study, reading and assignment preparation||125|
|Preparation for sessions||20|