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ZUG2054 - Research Design and Statistical Methods in Psychology

Undergraduate – Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

School

Faculty of Social and Health Sciences

Offered

South Africa

  • First Semester 2020 (Day)

15 Credits

Synopsis

This module expands students’ competencies in research design and quantitative methods of data analysis typically applied in psychological research. The specific focus is on enhancing students’ conceptual and applied competencies in research strategies, design and applied methodology, using relevant statistical packages and quantitative data analysis methods. The module covers a range of methods in descriptive and inferential parametric and non-parametric statistical procedures and techniques.  Tutorial activities provide further training and advancement of the learners’ applied skills in the selection and implementation of research methods and data analysis techniques required for completion of assignments, oral presentations and teamwork tasks.

Outcomes

  • Critique the various research strategies commonly used in psychological research.
  • Formulate the core considerations informing the conceptualisation and choice of the research design of a psychological study.
  • Implement statistical software packages and statistical procedures to analyse quantitative data.
  • Interpret data and present results according to scientific convention.
  • Give a critical review of psychological research projects.

Assessment

Within semester/Formative assessment: 50%
Examination/Summative assessment: 50%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this module is 150 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The module requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Prohibitions

None

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