Intermediate: Missing Data Analysis

Course description

Most quantitative-oriented research projects will face the problem of incomplete data. This workshop aims to provide an introduction to missing data analysis. Issues related to: the types of ‘missingness’, consequences of missing data, ways of detecting it and methods of handling incomplete data, will be addressed in the course. 

The course is aimed to be practically oriented with extensive use of the IBM SPSS and Stata statistical packages.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event. Please contact stats.consultant@flinders.edu.au if you have any questions relating to this course.

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students

What you will learn

• Brief theoretical introduction to the topic
• Ways of preventing missing data through research design
• The use of ‘missing data diagnostics tools’ 
• Methods of dealing with missing data

Prerequisites / assumed knowledge

Preferably participants should attend Introduction to SPSS, Introduction to Stata, and Introduction to Statistical Analysis (or have an understanding of concepts/skills covered in those three introductory courses) before enrolling in this workshop.