This course aims to equip participants with the necessary skills to analyse large survey data sets to answer research and policy questions. Students will be introduced to a number of multivariate statistical methods for analysing numeric, categorical and censored data as well as techniques for analysing event-history data. Methods covered include multinomial logistic regression, survival analysis and cox regression. Participants will learn to use a computer statistical software package such as SPSS to apply the methods to survey data and to interpret and discuss the results of their data analysis. Teaching is provided through lectures, tutorials and computer training sessions. This course will provide students with the skills necessary to undertake, or assess, complex quantitative research.

For further information, see http://adsri.anu.edu.au/study/Courses/DEMO8014/index.php

1. Formulate a research question.

2. Undertake multivariate statistical analysis appropriate to stated research question.

3. Construct an argument using theory and data.

4. Choose appropriate methods for presenting research results.

5. Evaluate research conducted using statistical analysis.

Poster assignment (20%); Written assignment (25%); Tutorial/Lab exercises (three) (15%); Literature summary (5%); Final exam (35%).

Teaching is provided through one ninety minute lecture and one ninety minute tutorial / computer training session.

DEMO8007 Statistics for Social Scientists with a grade of 75% or better, OR background in Statistics AND some knowledge of SPSS, Stata or SAS.

This course can be selected as one of two DEMO methods courses that students undertaking the "Social Research Methods" stream of the Master of Social Research need to take.

Lecture notes will be supplied in class. There is no set text. Students are expected to consult external texts and readings where necessary for assessment.