Enrolments for 2018 have closed.
Scale Development and Evaluation
Postgraduate | SWI-STA80008 | 2018
Course information for 2018 intake
View information for 2019 course intakeCalculate theories and scale back measurement issues related to social and health sciences. Gage concepts of reliability and validity and probe underlying theories. Consider psychometric evaluation. Compare Response Theory versus Rasch Modelling.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- -
FEE-HELP available
Scale Development and Evaluation
About this subject
Students who successfully complete this subject will be able to:
- Identify theoretical and practical issues associated with measurement, scale development and evaluation
- Demonstrate an advanced understanding of the concepts of reliability and validity and their underlying theories
- Conduct traditional and advanced statistical techniques to evaluate the reliability and validity of a scale
- Conduct a Rasch analysis using specialised software
- Critically evaluate published research relevant to scale development, psychometric testing and item response theory
- Demonstrate verbal and written skills in relation to critically evaluating empirical findings associated with the development and psychometric properties of a scale.
- Theories of measurement
- Issues associated with measurement and scaling
- Principles of scale development and psychometric evaluation
- Reliability
- Validity
- Item Response Theory and Rasch Modelling
- Practical applications of measurement and scale development
The subject gives students an understanding of the issues associated with measurement in the health and social sciences. Students will be introduced to the principles and practice of developing and evaluating scales and measures.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Quizzes — Online (10%)
- Assignments — 2 (40%)
- Invigilated Exam (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- SWI-STA70002-Multivariate Statistics
SWI-HMS780 (Not currently available)
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.