07.09.2014 Views

1997 Swinburne Higher Education Handbook

1997 Swinburne Higher Education Handbook

1997 Swinburne Higher Education Handbook

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

-.<br />

g<br />

appropriate packages such as LISREL and PRELIS.<br />

Introduction to multi-level modelling.<br />

SM745 Project Planning<br />

12.5 credit points 4 houw per week Hawthorn Assessment:<br />

oral and written reports Prerequisites: Requirements of the<br />

Graduate Diploma in Social Statistics w'th at least two<br />

distinctions in the second year<br />

A subject in the Master of Applied Science (Social Statistics)<br />

Content<br />

In this subject students examine the role of the review of<br />

literature in published papers or theses. With their own<br />

topic in mind they prepare and present a literature review<br />

which will help to provide a foundation for the argument of<br />

their later thesis.<br />

Recommended reading<br />

Depends on topic.<br />

SM746 Multivariate Statistics 2<br />

12.5 credit points 4 hoursper week Hawthorn Prerequisite:<br />

SM743 Assessment: assignments<br />

A subject in the Master of Applied Science (Social Statistics)<br />

0 biedives<br />

This subject aims to make an in-depth study of a range of<br />

multivariate techniques used in social research which are<br />

involved with scales.<br />

Content<br />

A selection of topics will be made frm reliability and validity<br />

analysis, principle component analysis, conjoint analysis,<br />

correspondence analysis and scaling techniques such as<br />

multi-dimensional scaling.<br />

Recommended reading<br />

To be advised.<br />

SM748 Research Methodology<br />

12.5 mdit points 4 hours per zeteek Hawthorn Prerequisite:<br />

534745 Assessment: assignments<br />

A subject in the Master of Applied Science (Social Statistics)<br />

0 bjectives<br />

This subject aims to continue the work in project planning<br />

in SM745 by selecting the appropriate research methodology<br />

necessary to proceed and, if necessary, develop additional<br />

skills needed to complete the research.<br />

0 Content<br />

0<br />

. - Students will develop a research plan for their thesis.<br />

Recommended reading<br />

To be advised.<br />

SM749 Minor Thesis<br />

25.0 credit points 8 hours per week Hawthorn. Assessment:<br />

thesis Prerequisite: SM748<br />

A subject in the Master of Applied Science (Social Statistics)<br />

Content<br />

This subject follows on from Research Methodology SM748<br />

and aims to carry out an original piece of social research and<br />

report the findings.<br />

Recommended reading<br />

To be advised.<br />

SM750 Basic Statistical Computing<br />

12.5 credit points 4 hours per week Hawthorn Assessmenr<br />

computer based tests and assignments Prerequisite: nil<br />

A first year subject in the Graduate Certificate and Graduate<br />

Diploma of Applied Science (Social Statistics) and (Health<br />

Statistics)<br />

Objectives<br />

This subject aims to develop competence in the use of<br />

personal computers and associated statistical packages and to<br />

acquire a level of statistical computing literacy necessary for<br />

data analysis in the social and health sciences.<br />

Content<br />

The subject includes an introduction to microcomputers, with<br />

special emphasis on windows based applications, a<br />

mainstream statistical package such as SPSS and a mainstream<br />

spreadsheet such as Excel.<br />

Recommended reading<br />

To be advised.<br />

Statistical packages<br />

Excel Version 5<br />

SPSS for Windows<br />

SM751 An Introduction to Data Analysis<br />

12.5 credit points 4 hours per week Hawthorn Assessment:<br />

practical and theoretical tests Prerequisite: nil<br />

A first year subject in the Graduate Certificate and Graduate<br />

Diploma of Applied Science (Social Statistics) and (Health<br />

Statistics)<br />

0 biectives<br />

Provide a computer based introduction to the concepts and<br />

practice of data analysis, statistical estimation and hypothesis<br />

testing.<br />

Content<br />

Exploring data, describing and summarising data, variability,<br />

levels of measurement, time series, drawing inferences from<br />

sample data, confidence intervals and testing hypotheses on<br />

means and proportions for two groups. Chi square and t-<br />

tests. Determination of sample size. Use of demographic and<br />

health data. Use of statistical packages such as Minitab and<br />

SPSS as appropriate.<br />

Recommended reading<br />

To be advised.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!