1997 Swinburne Higher Education Handbook

1997 Swinburne Higher Education Handbook 1997 Swinburne Higher Education Handbook

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esearch. It includes an overview of the procedures used in survey research, a descriptive approach to methods of sampling and data collection methods including questionnaire design and interview techniques (personal and telephone) mail surveys and census methods survey report writing and presentation. Other topics may include data processing including entering, coding, quality control and analysis of multiple response questions. Recommended reading To be advised. SM733 Demographic Techniques 12.5 credit points 4 hours per week Hawthorn Prerequisite: SM742 Assessment: assignments A second year subject in the Graduate Diploma of Applied Science (Health Statistics and Social Statistics) 0 b jectives This subject aims to give an understanding of the basic methods of demographic analysis and to develop an awareness of the social implications of demographic data. Content It will include topics chosen from the following: sources of demographic data. Census data and use of CD ROM technology such as CDATA91. Population processes, births and deaths, size and distribution, mobility, spatial patterns and models for regional demographic analysis may be included. Indicators and benchmarks, projections and forecasts. Recommended reading To be advised. SM735 Survey Sampling 12.5 credit points 4 hours per week Hawthorn Assessment: assignments and test Prerequisite: SM732, SM742 A second year subject in the Graduate Diploma of Applied Science (Social Statistics) Objectives Introduce basic methods for sample survey design and analysis. Provide practical examples of designing simple sample surveys. Content The basic designs for sample surveys: simple random samping, stratified sampling, systematic sampling and cluster sampling. Estimators for the mean total and proportion for simple random samples and stratified samples; variance estimation. The design effect; sample size determination; EPSEM samples Ratio estimation; Cluster sampling, multi-stage sampling, PPS sampling; variance estimation. Recommended reading Cochran, W.G., Sampling Techniques. New York, Wiley, 1977 Jolliffe, F.R. Surwy Design and Analysis. Chichester, Ellis, Horwood, 1986 Kalton, G. Introduction to Survey Sampling. Beverley Hills, Sage, 1983 -.-- Stuart, A. Basic Ideas of Scientific Sampling. London 3rd edn, Griffin, 1968 Sudmans, A,, Applied Sampling. New York, Academic Press, 1976 SM742 Elementary Statistical Modelling 12.5 credit points 4 hours per week Hawthorn Prerequisites: SM750, 94751 Assessment: practical and theoretical tests A second year subject in the Graduate Diploma of Applied Science (Social Statistics) 0 b jedives Provide a computer based introduction to elementary statistical modelling. Content Analysis of variance and regression. Introduction to multiple regression. Introduction to analysis of categorical data. Recommended reading To be advised. SM743 Multivariate Statistics 1 12.5 credit points 4 hours per wek Hawthorn Prerequisite: SM742 Assessment: assignments and examination A second year subject in the Graduate Diploma of Applied Science (Social Sciences) Obiectives This subject aims to identify and apply the multivariate techniques most commonly used in social research and to understand the assumptions underlying their use. Content The course will include a selection of topics chosen from multiple regression, statistical inference for multivariate data, principal component analysis, factor analysis, discriminant analysis and cluster analysis, multivariate analysis of variance. Recommended reading To be advised. SM744 Statistical Modelling 12.5 credit points 4 hours per week Hawthorn* Assessment: assignments m Prerequisite: SM743 A subject in the Master of Applied Science (Social Statistics) Ob jedives This subject aims to make an in-depth study of several statistical modelling techniques for both categorical and higher level data. Content Topics will be chosen from: regression models for categorical data: log-linear models for multiway contigency tables, logistic regression for analysing binary response data. Causal modelling, structural equation models, using Swinburne University of Technology 1997 Handbook 51 5

-. g appropriate packages such as LISREL and PRELIS. Introduction to multi-level modelling. SM745 Project Planning 12.5 credit points 4 houw per week Hawthorn Assessment: oral and written reports Prerequisites: Requirements of the Graduate Diploma in Social Statistics w'th at least two distinctions in the second year A subject in the Master of Applied Science (Social Statistics) Content In this subject students examine the role of the review of literature in published papers or theses. With their own topic in mind they prepare and present a literature review which will help to provide a foundation for the argument of their later thesis. Recommended reading Depends on topic. SM746 Multivariate Statistics 2 12.5 credit points 4 hoursper week Hawthorn Prerequisite: SM743 Assessment: assignments A subject in the Master of Applied Science (Social Statistics) 0 biedives This subject aims to make an in-depth study of a range of multivariate techniques used in social research which are involved with scales. Content A selection of topics will be made frm reliability and validity analysis, principle component analysis, conjoint analysis, correspondence analysis and scaling techniques such as multi-dimensional scaling. Recommended reading To be advised. SM748 Research Methodology 12.5 mdit points 4 hours per zeteek Hawthorn Prerequisite: 534745 Assessment: assignments A subject in the Master of Applied Science (Social Statistics) 0 bjectives This subject aims to continue the work in project planning in SM745 by selecting the appropriate research methodology necessary to proceed and, if necessary, develop additional skills needed to complete the research. 0 Content 0 . - Students will develop a research plan for their thesis. Recommended reading To be advised. SM749 Minor Thesis 25.0 credit points 8 hours per week Hawthorn. Assessment: thesis Prerequisite: SM748 A subject in the Master of Applied Science (Social Statistics) Content This subject follows on from Research Methodology SM748 and aims to carry out an original piece of social research and report the findings. Recommended reading To be advised. SM750 Basic Statistical Computing 12.5 credit points 4 hours per week Hawthorn Assessmenr computer based tests and assignments Prerequisite: nil A first year subject in the Graduate Certificate and Graduate Diploma of Applied Science (Social Statistics) and (Health Statistics) Objectives This subject aims to develop competence in the use of personal computers and associated statistical packages and to acquire a level of statistical computing literacy necessary for data analysis in the social and health sciences. Content The subject includes an introduction to microcomputers, with special emphasis on windows based applications, a mainstream statistical package such as SPSS and a mainstream spreadsheet such as Excel. Recommended reading To be advised. Statistical packages Excel Version 5 SPSS for Windows SM751 An Introduction to Data Analysis 12.5 credit points 4 hours per week Hawthorn Assessment: practical and theoretical tests Prerequisite: nil A first year subject in the Graduate Certificate and Graduate Diploma of Applied Science (Social Statistics) and (Health Statistics) 0 biectives Provide a computer based introduction to the concepts and practice of data analysis, statistical estimation and hypothesis testing. Content Exploring data, describing and summarising data, variability, levels of measurement, time series, drawing inferences from sample data, confidence intervals and testing hypotheses on means and proportions for two groups. Chi square and t- tests. Determination of sample size. Use of demographic and health data. Use of statistical packages such as Minitab and SPSS as appropriate. Recommended reading To be advised.

-.<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.

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