ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

디지털 대화 분석×Thematic Analysis×
분야질적 방법질적 연구
계열Process / pipelineProcess / pipeline
기원 연도1974 (CA foundations); 1990s–2000s (digital adaptation)2006
창시자Harvey Sacks, Emanuel Schegloff, Gail Jefferson (CA foundations); Susan Herring (computer-mediated discourse adaptation)Virginia Braun and Victoria Clarke
유형Qualitative discourse analysis methodMethod
원전Sacks, H., Schegloff, E. A., & Jefferson, G. (1974). A simplest systematics for the organization of turn-taking for conversation. Language, 50(4), 696–735. DOI ↗Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
별칭DCA, online conversation analysis, digital CA, computer-mediated conversation analysisTA, Reflexive Thematic Analysis
관련53
요약Digital Conversation Analysis (DCA) applies the systematic, turn-by-turn analytical procedures of Conversation Analysis (CA) to digital and computer-mediated interactions — including chat logs, social media threads, instant messages, and online forums. Rooted in the foundational CA framework of Sacks, Schegloff, and Jefferson, DCA adapts classical concepts such as turn-taking, adjacency pairs, and sequential organisation to account for the asynchronous, multimodal, and textual character of online communication.Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 3 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Digital Conversation Analysis · Thematic Analysis. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare