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PY2107 - Experimental Investigation and Analysis of Behaviour

Credit points: 3
Year: 2019
Student Contribution Band: Band 1
Administered by: College of Healthcare Sciences

This subject introduces and examines the design and implementation of experimental research. Emphasis is on the use of the experiment as an inferential tool to test theory and build an empirical foundation for the science. As such, coverage will include detailed discussion of matters of experimental design and the practical use of statistical procedures.Beginning with the basic designs and using these as building blocks for more complex designs, all major experimental designs commonly used by psychologists will be covered. In parallel with a detailed description of major designs, a comprehensive conceptual description and practical application of appropriate statistical analysis of data collected from each of the designs will also be provided.

Learning Outcomes

  • provide an appreciation for the richness of information available from different experimental designs;
  • provide the basic information necessary to design and to analyse experiments;
  • provide the necessary skills and understanding necessary to critically evaluate research findings and inferences drawn from experimental data;
  • provide the skills to analyse data using SPSS.
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
Inadmissible
Subject
Combinations:
SS2011 SS2022

Availabilities

Townsville, Internal, Study Period 2
Census Date 29-Aug-2019
Coord/Lect: Dr David Mitchell.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study
Assessment: end of semester exam (30%); quizzes or tests (30%); assignments (40%).

Cairns, Internal, Study Period 2
Census Date 29-Aug-2019
Coordinator: Dr David Mitchell
Lecturers: Dr Kerry McBain, Dr Nicole Thomas, Dr David Mitchell.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study
Assessment: end of semester exam (30%); quizzes or tests (30%); assignments (40%).

JCU Singapore, Internal, Study Period 51
Census Date 11-Apr-2019
Coordinator: Dr David Mitchell
Lecturers: Dr Patrick Lin, Dr David Mitchell.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study
Assessment: end of semester exam (30%); quizzes or tests (30%); assignments (40%).

JCU Singapore, Internal, Study Period 53
Census Date 05-Dec-2019
Coord/Lect: Dr David Mitchell.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study
Assessment: end of semester exam (30%); quizzes or tests (30%); assignments (40%).

JCU Singapore, Internal, Study Period 52
Census Date 08-Aug-2019
Coordinator: Dr David Mitchell
Lecturers: Dr Patrick Lin, Dr David Mitchell.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study
Assessment: end of semester exam (30%); quizzes or tests (30%); assignments (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.