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DRPS : Course Catalogue : School of Health in Social Science : Clinical Psychology

Postgraduate Course: Psychological Research Methods: Data Management and Analysis (CLPS11056)

Course Outline
SchoolSchool of Health in Social Science CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis option is a core course for the MSc in Psychology of Mental Health (Conversion). It focuses on data handling and data analysis. Students will engage in laboratory style workshops where they will participate in practical activities to enhance their data analysis skills. The course will be assessed through a qualitative task and a quantitative task, designed to reveal qualitative analytical skills, statistical skills and understanding of the appropriateness of statistical techniques for different types of data.
Course description This course will be structured around ten workshops comprised of lectures and practical sessions, online activities and supportive materials. It will familiarise students with both quantitative and qualitative analysis, mainly focusing on handling and analysis of quantitative data using SPSS. Both parametric and non-parametric statistics will be covered. The practical sessions will take place in computer labs so that students can access SPSS in-class.

The course is a core component of the MSc Psychology of Mental Health (Conversion) but will be open to others at the discretion of the course organiser.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2019/20, Available to all students (SV1) Quota:  195
Course Start Full Year
Course Start Date 16/09/2019
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Supervised Practical/Workshop/Studio Hours 25, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 171 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) There will be three assessments for this course.

First, a formative assessment will take place in the last session of the first semester. This will require the students to enter data into SPSS and complete simple analyses under exam conditions. The paper will be marked and discussed in class.

There will be two summative assessments for the course:

i) A short report using qualitative analysis (30%).

ii) A structured report using quantitative analyses (70%)
Feedback The feedback and marks for this course are returned via the Turnitin online submission system.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate knowledge and understanding of the different levels of measurement (including the difference between parametric and non-parametric data), difference between one and two tailed hypotheses and measures of central tendency.
  2. Enter data into SPSS, screen data for errors and perform visual and statistical inspection of distributions and transform data.
  3. Know which statistical tests are most commonly used for answering questions about between and within group differences and relationships between variables, for different levels of measurement.
  4. Conduct statistical analyses to answer questions about differences and relationships between variables, including testing of assumptions, interpretation of the output and post-hoc analyses (using SPSS).
Reading List
Clark-Carter, D. (2010). Quantitative Psychological Research (3rd edition). Hove, East Sussex: Psychology Press.

Coolican, H. (2014). Research Methods and Statistics in Psychology (6th edition). London: Psychology Press.

Field, A. (2013). Discovering Statistics using IBM SPSS Statistics (4th edition). London: Sage.

Haslam, S.A. & McGarty, C. (2014). Research Methods and Statistics in Psychology (2nd edition). London: Sage.

Pallant, J. (2016). SPSS Survival Manual (6th edition). Maidenhead: Open University Press.

Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th edition). Harlow: Pearson Education Limited.
Additional Information
Graduate Attributes and Skills Develop your research knowledge that will enable you to discuss, share, present and analyse data and information in various formats and from a range of sources
Develop your research methods and data analysis skills
Develop your critical reflection and writing skills
KeywordsNot entered
Course organiserDr Emily Newman
Tel: (0131 6)51 3945
Course secretaryMr Timothy Abbot
Tel: (0131 6)50 8498
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