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OverviewThe aim of this module is to provide a postgraduate-level orientation to both basic and advanced contemporary statistical and methodological issues in psychology. It is compulsory for all our MSc students. The methodological issues considered include validity and reliability in measurement; experimental, quasi-experimental, and correlational research designs in the laboratory and field; observational, archival, and qualitative research methodologies; and the problem of bias in psychological research. The statistical techniques taught include univariate and bivariate descriptive and inferential statistics; psychometric techniques; exploratory data analysis; basic and advanced topics in ANOVA and ANCOVA; multiple regression; factor analysis; and structural equation modelling.
This module appears in:
Weekly three-hour lecture-workshops, weekly computing surgeries.
Method of assessment
Students complete two sets of examinations, each accounting for 50% of the final mark.
Understand the logic of hypothesis testing
Understand specific methods of statistical analysis
Demonstrate such understanding by applying these methods to various computational problems
Successfully perform analyses and interpret output of statistical software packages
Acquire an understanding of theoretical positions and controversies related to methodology
Apply this understanding to specific research design problems