Trends in Research on Writing as a Learning Activity
Journal of Writing Research earli | contact
journal description
aims and scope
open access
editorial board
current issue
back issues
early view
special issue
most downloaded
peer review policy
related websites


Analyzing the language of citation across discipline and experience levels: An automated dictionary approach

Kaufer D., Ishizaki S., & Cai X. (2016)
Journal of Writing Research, 7(3), 453-483

Citation practices have been and continue to be a concentrated area of research activity among writing researchers, spanning many disciplines. This research presents a re-analysis of a common data set contributed by Karatsolis (this issue), which focused on the citation practices of 8 PhD advisors and 8 PhD advisees across four disciplines. Our purpose in this paper is to show what automated dictionary methods can uncover on the same data based on a text analysis and visualization environment we have been developing over many years. The results of our analysis suggest that, although automatic dictionary methods cannot reproduce the fine granularity of interpretative coding schemes designed for human coders, it can find significant non-adjacent patterns distributed across a text or corpus that will likely elude the analyst relying solely on serial reading. We report on the discovery of several of these patterns that we believe complement Karatsolis’ original analysis and extend the citation literature at large. We conclude the paper by reviewing some of the advantages and limits of dictionary approaches to textual analysis, as well as debunking some common misconceptions against them.

PDF | doi: 10.17239/jowr-2016.07.03.07

Export citation: EndNote | BibTeX

For readers
free subscription
alert service
full text
For authors
guide for authors
submit article
For reviewers
guide for reviewers
submit review
Repository login
home contact