ABSTRACT
The author explains the methods that she used for her 2000 dissertation study and her 2017 study of the UWSWC. Then, she describes the studies' participants, followed by the procedures that she followed in gathering the data. If writing center researchers find a way to share the data they collect so that other researchers can reuse it, for example, in a shared online repository, such as Dataverse, generalizable research becomes possible. The author explains the transcription conventions used in creating the transcripts. She describes the tutor training procedures in the UWSWC in 2000 and 2017. The author employs discourse analysis to examine keywords, lexical bundles, and other microlevel linguistic features in relation to the tutoring strategies that the tutors employed and to which the student writers responded. Corpus-driven analysis uncovers latent discourse characteristics such as keywords and lexical bundles.
