2016 Volume 18 Issue 2 Pages 53-69
In this study, we researched the chronological tendencies of conversational data analysis articles in Shakaigengokagaku (“The Japanese Journal of Language in Society”). We analyzed tendencies of the articles according to the following six categories: (1) numbers of articles, (2) viewpoints of analysis, (3) data situations (native/native, native/non-native, or both), (4) items of analysis, (5) kinds of data (natural discourse, media, experiments, made-up examples, cellphone emails/SNS), and (6) utilization of research results. We demonstrated that the number of conversational data analysis articles has been increasing and analysis in many articles was based on “verbal/nonverbal,” and looked at conversation in “native/native situations” and “natural discourse.” As for utilization of research results, we found the following two types: “accumulation of research results” and “making the research results available to practical fields.” By analyzing the characteristics of conversational data analysis articles using the comprehensive framework of conversational data analysis, we could see that conversational data analysis has been utilized in various research fields. Based on these results, we discussed the importance of promoting transdisciplinary research within the realm of “welfare linguistics”.
