ATTW 2018 Research Workshop Description: Coding Language Reliably

Coding Language Reliably

Cheryl Geisler, Simon Fraser University

Coding, the analytic task of assigning codes to non-numeric data, is one of the most common analytic techniques in writing research. Discussions of methodological issues often give coding significant attention and it plays a prominent role in the execution of research.  But researchers often find that their coding schemes do not lead to consistent or “reliable” judgements.   When you achieve a reliable coding scheme, you insure that its meaning is clear to you and to those to whom you report your research. If you find yourself changing your mind from day to day or find others not coding the way you intend, you may want to work on your reliability.

During this workshop, participants will learn to measure and then improve reliability by a) targeting revisions, b) building out a coding scheme, c) changing segmentation, and d) adding dimensions to the analysis.

The workshop will include:

-       An initial presentation on the rationale and limitations of coding language reliably,

-       Small-group work with sample data to measure and improve reliability, and

-       Consultation on participants’ own in-progress coding schemes.

Participants will be asked to read a selection of readings in advance of the workshop, and are invited to bring data collected in their own projects for discussion.  

To apply for a place in one of these workshops, complete the application form and submit it by January 30, 2018. Acceptances will emailed to you by Feb 8. 

Questions about these workshops can be directed to Cheryl Geisler (, Chair of the ATTW Committee on Research.

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