This module includes the key topics and issues of research design and both qualitative and quantitative methodologies. In research design, it will cover the principles of research design, such as theories of psychological measurement (standardization, reliability, and validity), sampling techniques and issues, social constructivism, critical evaluation of the methods employed in psychological research, and consideration of ethical issues.
In the analytical section, the focus will be on the acquisition of practical skills – in particular, using statistical ?software to analyse? quantitative data, interpreting results, and structuring and communicating results.
The student will be exposed to key concepts, such as descriptive and inferential statistics, probability, data distribution, type 1 and type 2 errors, power, effect size, and confidence intervals. A broad range of descriptive and inferential tests will be demonstrated, with emphasis placed on both the theoretical and practical uses of those tests with different research designs. A broad range of qualitative research examples will be covered, such as phenomenological, research and grounded theory.
Finally, the module will act as a transition to becoming a psychologist by introducing a number of key graduate psychology skills, such as exposure to the technical language used in psychology, formatting and reporting test results, database searching, critical reflection on the source, quality, and utility of the evidence.
At the end of the module, the student will have become an autonomous, analytical, and inquiring thinker
- Research Design
- Critical Evaluation
- Social construction and discourse
- Transition to Psychology
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