Speakers Corner Using Automated Content Analysis Techniques for Your Qualitative Research Projects

Session Type: Invited Speaker Session

Abstract

Research in education involves analyzing surveys, interviews, focus groups, journal articles, speeches, social media and much more. It is extremely time consuming, expensive and in many cases impossible to read each and every document related to ones research. Automated content analysis makes it possible to systematically import and analyze very large volumes of text documents without spending vast sums on hiring coders. This presentation will showcase the different content analysis approaches such as computer assisted qualitative coding; text mining; content analysis dictionaries or taxonomies and supervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyse text data.

Sub Unit

• AERA Related Activities

Presenter

• Adam Bendriss Alami, Provalis Research