MY552      Half Unit
Applied Regression Analysis

This information is for the 2013/14 session.

Teacher responsible

Dr Jouni Kuha COL8.02

Availability

Research students where programme regulations allow. Students are required to have completed MY451, MY551 or an equivalent level statistics course.

Pre-requisites

Students must have completed CP-MY451 and Introduction to Quantitative Analysis (MY551).
Students are required to have completed MY451, MY551 or an equivalent level statistics course.

Course content

The course is designed for students with a good working knowledge of elementary descriptive statistics; sampling distributions; one and two sample tests for means and proportions; correlation and the linear regression model with one or more predictor variables. The course is concerned with deepening the understanding of the generalized linear model and its application to social science data. The main topics covered are linear regression modelling and binary, multinomial and ordinal logistic regression. Class exercises and homework will be carried out using the Stata or SPSS package, according to the students choice.

Teaching

20 hours of lectures and 9 hours of computer workshops in the MT. 20 hours of lectures and 9 hours of computer workshops in the LT.

This course is given twice per session, starting in the second week of each of the MT and LT. Students must either register for MY552M which is taught in Michaelmas Term, or MY552L which is taught in Lent Term.

Formative coursework

Class exercises and homework will be carried out using the Stata or SPSS package, according to the student’s choice.

Indicative reading

A Agresti & B Finlay, Statistical Methods for the Social Sciences. A course pack will be provided at the beginning of the course and additional reading will be recommended.

Assessment

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

A two-hour open book unseen examination in ST.

Key facts

Department: Methodology

Total students 2012/13: 11

Average class size 2012/13: Unavailable

Value: Half Unit

Guidelines for interpreting course guide information

Course survey results

(2011/12 combined)

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

The scores below are average responses.

Response rate: %

Question

Average
response

Reading list (Q2.1)

2

Materials (Q2.3)

2

Course satisfied (Q2.4)

1

Lectures (Q2.5)

1.5

Integration (Q2.6)

3.5

Contact (Q2.7)

1

Feedback (Q2.8)

1

Recommend (Q2.9)

Yes

100%

Maybe

0%

No

0%