Quantitative Methods in Health
Undergraduate
Undergraduate
To enable the student to describe and critically appraise the research methodology of a scientific journal article and to develop data literacy, management, and statistical analysis skills using appropriate computer software.
Overview of research methodology, nature of scientific theory and knowledge, formulating hypotheses, measurement processes, reliability and validity, levels of measurement, types of experimental design, internal and external validity, study power;
The normal distribution, sampling distributions, choice of statistical techniques including non-parametric techniques, hypothesis testing, p values, confidence intervals, measures of risk;
A range of inferential statistical procedures including correlation and regression, t-tests and their non-parametric alternatives, chi square test, analysis of variance procedures and the non-parametric alternatives;
Using a software package for entering and analysing data, describing data with graphical and numerical summaries, and implementing inferential statistical procedures;
Interpreting and communicating results of data analysis.
Nil
Nil
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, CITY EAST | |||
Seminar | 2 hours x 13 weeks | ||
Tutorial | 1 hour x 12 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Examination, Report, Skills demonstration, Test/Quiz
EFTSL*: 0.125
Commonwealth Supported program (Band 1)
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Fee-paying program for domestic and international students
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.