Tests of significance for multivariate data, Fisher discriminant function analysis, testing multivariate distances, cluster analysis, principal component analysis, factor analysis both exploratory and confirmatory, discrimination using logistic models when categorical predictors present, canonical correlation analysis, multidimensional scaling and other methods of ordination, correspondence analysis.
This is a paper in advanced statistical methods. Applications are widespread in the analysis of psychological, sociological and other types of behavioural data, including market research. Other areas of application include medicine, ecology, environmental science, geography and the biological sciences in general. Rather than concentrating on the mathematical aspects of the methods covered, the paper emphasises applications and data analysis through the use of the statistics package SPSS 22 and the AMOS 22 package with a use of R for some of the procedures.
|Paper title||Multivariate Methods|
|Teaching period||Second Semester|
|Domestic Tuition Fees (NZD)||$868.95|
|International Tuition Fees (NZD)||$3,656.70|
- STAT 110 or STAT 115 or BSNS 102 or BSNS 112
- STAT 342
- Schedule C
- Arts and Music, Science
- Undergraduate students in any of the subjects listed above. It is also a paper for
anyone majoring in Statistics. The paper is a very useful quantitative paper for
graduate and research students in all areas.
These students, who enrol in the paper as part of their research programme, will find they are already meeting the techniques in their own reading and data analysis. These students can instead be registered for the equivalent paper STAT 342, with the only difference being that STAT 342 has an additional project worth 25% of the assessment, with the final exam counting for 75%.
- More information link
- View more information for STAT 242
- Teaching staff
- To be confirmed.
- Teaching Arrangements
- 32 lectures and 12 tutorials.
- Multivariate Statistical Methods, a Primer, B.F.J. Manly (this book is on close reserve
in the Science Library)
A course reader is available at the start of the second semester free of charge online (through the course resource page), and purchase of a hard copy through Uniprint is, therefore, optional.
- Paper Structure
- Main topics:
- Multivariate analysis of variance
- Fisher Discriminant function analysis
- Logistic and multinomial regression for discrimination
- Cluster analysis
- Principal component analysis
- Exploratory factor analysis
- Confirmatory factor analysis using AMOS 22
- Discrimination with logistic models if some categorical predictors
- Canonical correlation analysis
- Measures of distance
- Methods of scaling and ordination
- Correspondence analysis
- Repeated measures
- Course outline
- View course outline for STAT 242
- Graduate Attributes Emphasised
- Critical thinking, Information literacy.
View more information about Otago's graduate attributes.
- Learning Outcomes
- Students who successfully complete the paper will develop an ability to explore and summarise large data sets.