Hi, I was told this would be a good place to ask a these questions. I
wanted to run a question by you and was interested in your thoughts or
perhaps you know of some folks who I can ask this same question to.
We are looking to find efficient ways to process large amounts of
textual data such as interview transcripts so we can break them down
and codify them and extract semantic relationships. We use some tools
that do things such as word frequencies etc. however it does not get
at the semantic meaning of the relationship.
How do you look at associations and patterns in large bodies of textual data?
I have been asked to look at non-Euclidian associative methods for
qualitative data analysis.
I need to understand what the following methods are and how they may
help us process interview transcripts:
Multi-dimensional Scaling
Cluster Analysis
Latent Semantic Analysis
and
Pathfinder Networks
or
any other new methods
If you or anyone I know could provide an overview of each
More importantly, any thoughts on the benefits of one approach over
the other for processing and interpreting of interview transcripts
from ethnographic research?
Any help you can provide would be greatly appreciated.
Please respond to dbrams@gmail.com
Best regards,
Doug
This archive was generated by hypermail 2b29 : Wed Mar 16 2005 - 21:51:53 MET