Research Methods and Analysis via Distance Learning
| Code | School | Level | Credits | Semesters |
| PSGY4067 | Psychology | 4 | 20 | Full Year UK |
- Code
- PSGY4067
- School
- Psychology
- Level
- 4
- Credits
- 20
- Semesters
- Full Year UK
Summary
This module will cover the basic concepts and assumptions with respect to univariate and multivariate statistics, as well as issues relating to field studies, ethics, reliability and validity issues, as well as basic qualitative techniques. The module will cover ANOVA, post-hoc tests, power, multiple linear regression, factor analysis, the nature of causality and field designs (both experimental and quasi-experimental), ethics, the reliability and validity of measures and field designs, as well as exploring some basic issues in questionnaire design and qualitative methods.
Target Students
Only available for students on the MSc Psychology Conversion by distance learning
Classes
- One 2-hour lecture each week for 20 weeks
Student will engage in online working group discussion per week. Within these working groups, students will explore topics presented during the weekly lecture more deeply. Group discussions will be monitored by teaching faculty and will help students develop a deeper understanding of the topics presented, allow students to apply new knowledge, and help develop professional communication skills. Total time on the module, including self study, revision etc is recommended to be 200hrs.
Assessment
- 5% Coursework 1 Autumn: Results section. Autumn.
- 5% Coursework 2 Spring: Results section. Spring.
- 45% ExamSys Exam 1 Autumn (2-hour): ExamSys Exam 1 Autumn
- 45% ExamSys Exam 2 Spring (2-hour): ExamSys - Spring. 24 hour window
Assessed by end of spring semester
Educational Aims
The purpose of this module is to introduce the fundamental theory and assumptions underlying analysis of experimental and qualitative data; to explain the major types of statistical analysis approaches, including when they are applicable, the assumptions they require, the procedure to be followed, and how their results should be interpreted; to provide practical instruction on the use of statistical software to compute and report analyses; to introduce important aspects of psychological research methodology, including research ethics, validity and design.Learning Outcomes
1. Explain the basic principles underlying analysis of variance (ANOVA), multiple linear regression, exploratory factor analysis, and qualitative research.
2. Calculate basic statistics from an empirical data set.
3. Analyse an empirical data set using the appropriate statistical technique, demonstrate the validity of required assumptions, and interpret the outcome in terms of the original research question.
4. Describe and evaluate methods of data collection in qualitative research.
5. Apply the methodological procedures associated with thematic analysis.
6. Explain and assess important issues in psychology, including: the reliability and validity of research designs; causal inference; statistical power; questionable research practices; and ethical issues.