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PY3101 - Advanced Behavioural Research Design and Analysis

Credit points: 3
Year: 2015
Student Contribution Band: Band 1
Administered by: College of Healthcare Sciences

This subject covers research designs that are non-experimental or quasi-experimental in nature. These include methods that are often more appropriate for research in field settings where experiments are neither practical nor sensible. The different types of validity and the benefits and limitations of weighing one type of validity against another will be considered. In addition, some of the most popular and powerful multivariate statistical techniques will also be introduced in lectures and practicals. The statistical material will cover multiple and logistic regression, factor analysis, discriminant analysis and multi dimensional scaling analysis. The emphasis will be on the conceptual understanding and use of these techniques rather than mathematical arguments and proofs. Practicals will focus on everyday applications of the knowledge you gain from your study of research design.

Learning Outcomes

  • To view research in applied settings in a practical and logical manner;
  • To apply the methods of scientific research to answer questions and solve problems in field settings;
  • To recognise the strengths and limitations of these methodologies;
  • To interpret and critically evaluate the results of applied research;
  • To focus on the conceptual understanding of the statistical techniques presented and their application to different research settings;
  • Produce a research proposal paying particular attention to the design and analysis components of the proposed study.
Assumed
Knowledge:
To undertake this subject, students must have successfully completed 12 credit points (four subjects) of level 1 study at tertiary level
Prerequisites: (PY1101 OR PY1102) AND PY2103 AND PY2107
Inadmissible
Subject
Combinations:
PY3081 AND PY3082

Availabilities

Cairns, Study Period 1, Internal
Census Date 26-Mar-2015
Coord/Lect: Assoc. Professor Nerina Caltabiano.
Workload expectations:
  • 26 hours lectures
  • 24 hours tutorials
Assessment: end of semester exam (40%); quizzes or tests (20%); practical work (40%).

JCU Singapore, Study Period 51, Internal
Census Date 09-Apr-2015
Coordinator: Assoc. Professor Nerina Caltabiano
Lecturer: <Person not found>.
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals
Assessment: end of semester exam (40%); quizzes or tests (20%); practical work (40%).
Restrictions: An enrolment quota applies to this offering.

JCU Singapore, Study Period 52, Internal
Census Date 30-Jul-2015
Coordinator: Assoc. Professor Nerina Caltabiano
Lecturer: <Person not found>.
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals
Assessment: end of semester exam (40%); quizzes or tests (20%); practical work (40%).
Restrictions: An enrolment quota applies to this offering.

JCU Singapore, Study Period 53, Internal
Census Date 26-Nov-2015
Coordinator: Assoc. Professor Nerina Caltabiano
Lecturer: <Person not found>.
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals
Assessment: end of semester exam (40%); quizzes or tests (20%); practical work (40%).

Townsville, Study Period 1, Internal
Census Date 26-Mar-2015
Coord/Lect: Dr Peter Raggatt.
Workload expectations:
  • 26 hours lectures
  • 24 hours practicals
Assessment: end of semester exam (40%); quizzes or tests (20%); practical work (40%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.