ACSPRI Summer Program 2009

The 2009 ACSPRI (Australian Consortium for Social and Political Research Incorporated ) Summer Program is now open for registration at www.acspri.org.au/summerprogram2009

The Program will be run over two weeks at the Australian National University, Canberra.

The dates for the Program are:

Week 1: Monday 12th January - Friday 16th January
Week 2: Monday 19th January - Friday 23rd January

22 courses are being offered and are listed below. Places are limited so book early to avoid disappointment.

There is an early-bird discount available from now until 8th December 2008. Those registrations paid in full by this date will receive the generous discount.

Deakin University is a member of ACSPRI (membership is funded by the D-VC (Research). Staff and students of ACSPRI member organisations also receive a significant discount.

See the website for full details.

Website: www.acspri.org.au/summerprogram2009
Email: sp09@acspri.org.au

Courses Offered:*

*(Please note that each course runs for 5 days and therefore you may only enrol in one course per week)

Introductory

• Introduction to Statistics
• Introduction to Qualitative Research Techniques
• Research Completion: Selecting Research Methodology, Statistical Procedures and Writing Up
• Introduction to Nvivo: computer-assisted qualitative data analysis
• Data Anlaysis in SAS
• Introduction to Social Network Research and Network Analysis
• Focus Groups and other Qualitative Group Techniques
• Data Analysis in SPSS

Intermediate

• Fundamentals of Multiple Regression
• Data Analysis using Stata
• Researching Online Networks Using VOSON
• Survey Research Design
• Qualitative Research: Design, Analysis and Representation
• Using Program Logic in Planning and Evaluation
• Factor Analysis

Intermediate to Advanced

• Data Analysis and Graphics using R
• Introduction to Structural Equation Modelling using AMOS
• Introduction to Structural Equation Modelling using LISREL
• Applied Multiple Regression Analysis

Advanced

• Applied Structural Equation Modelling
• Practical Measurement and Multilevel Analysis in the Psychosocial Sciences