Module PRP-4015:
Research Methods Skills
Research Methods and Skills 2024-25
PRP-4015
2024-25
School Of Human And Behavioural Sciences
Module - Semester 1
20 credits
Module Organiser:
Vivek Thuppil
Overview
It is expected that the students will enter the programme with a diverse range of skills. This module is to ensure that students on this programme are equipped with the basic research methods skills necessary to study psychology. The programme is not designed to prepare students for a future doctoral programme (Clinical and/or Research), but rather allow the study of psychology without the usual emphasis on research, research methods, and statistics. However, there is a level of competency in research methods and statistics required for an understanding of the area, as well as being able to carry out the Master's level empirical project. The course is designed for students to establish competency at a fundamental level for the following topics: research methods basics, basic and advanced experimental designs, parametric tests including correlation, regression, t-tests, ANOVA & Regression.
Assessment Strategy
-threshold -• Adequate answer to the question, largely based on lecture material. • No real development of arguments. -good -• Reasonably comprehensive coverage. • Well organised and structured. • Good understanding of the material. • Clearly written -excellent -• Comprehensive and accurate coverage of the area clarity of argument and expression. • Depth of insight into theoretical issues. • Clarity of argument and expression.
Learning Outcomes
- At the end of this module students should be able appraise the different types of research designs used in psychological research
- At the end of this module students should be able to competently report scientific results and discuss their implications of the statistics
- At the end of this module students should be able to distinguish between the various parametric and non-parametric statistical tests and its uses in various research designs
- At the end of this module students should be able to use SPSS independently to run parametric and non-parametric statistical analyses
- At the end of this module, students should be able to demonstrate an understanding of research methods basics such as descriptive and inferential statistics
Assessment type
Summative
Weighting
10%
Assessment type
Summative
Weighting
50%
Assessment type
Summative
Weighting
30%
Assessment type
Summative
Weighting
10%