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Data Analysis in Practice-based Research (PSYT90108)
Graduate courseworkPoints: 12.5Online
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
July
School of Melbourne Custom Programs
Currently enrolled students:
- General information:http://commercial.unimelb.edu.au/custom-education/courses/youthmentalhealthm
- Email:TL-youthmentalhealth@unimelb.edu.au
Future students:
Overview
Availability | July - Online |
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Fees | Look up fees |
This subject introduces the student to quantitative analytical techniques, including choosing appropriate statistical analyses, level of measurement of variables and assumption testing, and using computer software (e.g., SPSS) to analyse data and calculate confidence intervals and effect sizes. Students will gain an understanding of the interplay between effect sizes, sample size, one and two tailed tests, level of significance and statistical power. Students will also be instructed on how to write interpretive summary reports for the inferential statistical techniques examined and learn how to recognise when more advanced techniques are required.
Intended learning outcomes
By the end of this subject students should be able to:
- Understand the use of statistical analysis in practice-based research
- Conduct descriptive and correlational data analyses
- Conduct inferential data analyses
- Outline the range of quantitative methods typically used in practice-based research
- Write interpretive summaries of data analyses
Generic skills
Participation in this subject will enhance students’:
- Independent research skills
- Critical and analytical thinking skills
- Written communication skills
- Problem-solving skills
- Capacity for logical and independent though
- Planning and time management skills
Last updated: 3 November 2022