## ST405Half UnitMultivariate Methods

This information is for the 2016/17 session.

Teacher responsible

Prof Irini Moustaki

Availability

This course is available on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is available with permission as an outside option to students on other programmes where regulations permit.

Pre-requisites

Students must have completed Further Mathematical Methods (MA212) and Probability, Distribution Theory and Inference (ST202).

Course content

An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Multivariate normal distribution, principal components analysis, factor analysis, latent variable models, latent class analysis and structural equations models.

Teaching

20 hours of lectures and 8 hours of computer workshops in the LT.

Week 6 will be used as a reading week.

Formative coursework

Coursework assigned fortnightly and returned to students via Moodle with comments/feedback before the computer workshops.

D J Bartholomew, F Steele, I Moustaki & J Galbraith, Analysis of Multivariate Social Science Data (2nd edition);

D J Bartholomew, M Knott & I Moustaki, Latent Variable Models and Factor Analysis: a unified approach;

C Chatfield & A J Collins, Introduction to Multivariate Analysis;

B S Everitt & G Dunn, Applied Multivariate Data Analysis;

K.V. Mardia, J.T. Kent and J.M. Bibby, Multivariate Analysis.

Assessment

Exam (100%, duration: 2 hours) in the main exam period.

Student performance results

(2012/13 - 2014/15 combined)

Classification % of students
Distinction 40.6
Merit 25
Pass 21.9
Fail 12.5

Key facts

Department: Statistics

Total students 2015/16: 14

Average class size 2015/16: 14

Controlled access 2015/16: No

Lecture capture used 2015/16: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

• Problem solving
• Application of numeracy skills
• Specialist skills

Course survey results

(2012/13 - 2014/15 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 77%

Question

Average
response

1.6

Materials (Q2.3)

1.4

Course satisfied (Q2.4)

1.4

Lectures (Q2.5)

1.4

Integration (Q2.6)

1.5

Contact (Q2.7)

1.6

Feedback (Q2.8)

1.5

Recommend (Q2.9)

 Yes 91% Maybe 9% No 0%