Research Methods and Analysis 2B
| Code | School | Level | Credits | Semesters |
| PSGY2029 | Psychology | 2 | 10 | Spring Malaysia |
- Code
- PSGY2029
- School
- Psychology
- Level
- 2
- Credits
- 10
- Semesters
- Spring Malaysia
Summary
This module will cover the basic concepts and assumptions and issues relating to regression, multivariate analysis, the reliability and validity issues as well as basic qualitative techniques and quantitative.
Participants should be familiar with SPSS and quantitative methods such as ANOVA. This module continues from Research Methods and Analysis 1, including more advanced ANOVA designs. We cover two multivariate tests (factor analysis and multiple regression), methods for non-laboratory investigations (reliability & validity, free-response methods).
The material is taught with reference to the SPSS software program, as a tool for data analysis. SPSS is freely available in the computer laboratories of the School.
Target Students
BSc Psychology Year 2 Students and BSc Psychology and Cognitive Neuroscience Year 2 Students
Classes
- One 1-hour-30-minute lecture each week for 10 weeks
Assessment
- 5% Coursework
- 95% Exam (2-hour): 2 hour of MCQs delivered via ExamSys
Educational Aims
a. To introduce important aspects of psychological research methodology. b. Further understanding of the fundamental theory and assumptions underlying analysis of experimental and data. c. 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. d. To provide practical instruction on the use of statistical software to compute and report analyses. e. Describe and evaluate methods of data collection in qualitative research. f. 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.Learning Outcomes
At the end of the module, students will be able to explain the basic principles underlying analysis of variance (ANOVA), calculate basic statistics from an empirical data set, describe and evaluate methods of data collection in qualitative research and apply the methodological procedures associated with thematic analysis.
Conveners
- Ms Xiang Ru Leong