Data Analysis in Practice-Based Research

This subject has the following teaching availabilities in 2016:

170 hours

For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Overview, Objectives, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability/

Course content includes:
• The data collection process
• Descriptive Statistics
• Inferential Statistics
• Descriptive and correlational research
• Qualitative research and evaluation

Methods
• Writing a research manuscript

By the end of this subject students should be able to:
• Articulate the process of data collection in practice-based research
• Understand the use of statistical analysis in practice-based research
• Conduct descriptive and correlational data analysis using SPSS
• Describe qualitative research and evaluation methods
• Write a research manuscript

• 25% weekly quizzes on lecture content (4 multiple choice questions per week for 5 weeks and 5 multiple choice questions in the last week = 25 questions in all)
• 25% SPSS assignment of no more than 1,000 words in length due Week 6 of the subject
• 50% major assignment (research proposal) of 3,000 words in length due Week 6 of the subject

This subject is not available as a breadth subject.

• Theoretical knowledge
• Critical appraisal
• Skills in written communication
• Analytic skills
• Problem-solving skills
• Planning and time management skills