Practical Methods for Distance learning
| Code | School | Level | Credits | Semesters |
| PSGY4071 | Psychology | 4 | 20 | Full Year UK |
- Code
- PSGY4071
- School
- Psychology
- Level
- 4
- Credits
- 20
- Semesters
- Full Year UK
Summary
This module supports the development of practical and conceptual skills necessary for running experiments in psychology and interpreting data. Skills include study design; interpretation of summary quantitative and qualitative data; analysis of quantitative and qualitative data; implementing experiments with the computer-based user-interface PsychoPy; writing up appropriate reports; working independently as well as in groups.
Target Students
Students on the MSc Psychology Conversion by distance learning only
Classes
- One 2-hour practicum each week for 20 weeks
Students will work on a series of practical projects over several weeks. Study will be in scheduled group sessions and in self and group based work. Total amount of study for this module, including self study and directed study is recommended to be 200 hours.
Assessment
- 10% Coursework 1: Practical report 2000-3000 words
- 30% Coursework 2: Practical report 2000-3000 words
- 30% Coursework 3: Practical report 2000-3000 words
- 30% Coursework 4: Practical report 2000-3000 words
Assessed in both autumn & spring semest
Educational Aims
The purpose of these practical lessons is to provide students hands-on experience with designing and running Psychology studies, as well as analysing, interpreting data, and writing reports. Information in this module will correspond with content taught in statistical courses and will provide students with the ability to conduct and evaluate research studies, interpret findings from inferential statistical tests, complete qualitative analyses, and develop skills in project management and teamwork.Learning Outcomes
Competencies that will be developed through these practical lessons include:
- Competency at report writing.
- Competency at building experiments with PsychoPy.
- Competency at using and interpreting ANOVA for one-way and factorial designs (Unique to Autumn Semester, classes 1 and 2).
- Competency at using and interpreting some multiple regression (Unique to Spring Semester, class 3).
- Competency at using and interpreting thematic analysis (Unique to Spring Semester, class 4).
- Competency in developing APA-standard graphs.
- Competency at describing results (e.g. what does your Excel graph tell you? Does the statistical test back this up?)