เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์แก่นสาระสะท้อนคิดแบบดิจิทัล (Digital Reflexive Thematic Analysis)× | การวิเคราะห์ใจความแบบสะท้อนคิด× | |
|---|---|---|
| สาขาวิชา | เชิงคุณภาพ | เชิงคุณภาพ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2006 (RTA foundation); digital application consolidated ~2019–2022 | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| ผู้ริเริ่ม≠ | Virginia Braun & Victoria Clarke (reflexive foundation); extended by digital qualitative researchers | Virginia Braun & Victoria Clarke |
| ประเภท≠ | Qualitative analytic method | Qualitative research method |
| แหล่งต้นตำรับ≠ | Braun, V., & Clarke, V. (2022). Thematic Analysis: A Practical Guide. Sage. ISBN: 978-1473953246 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| ชื่อเรียกอื่น≠ | digital RTA, online reflexive thematic analysis, RTA for digital data | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | Digital Reflexive Thematic Analysis (Digital RTA) applies Braun and Clarke's reflexive thematic analysis framework to qualitative data generated in or collected from digital environments — including social media posts, online forums, chat transcripts, email, digital interviews, and other online texts. It foregrounds the researcher's active, interpretive role and treats theme generation as a creative-analytic act shaped by the analyst's theoretical positioning rather than a mechanical coding procedure. | Reflexive Thematic Analysis (RTA) is a widely used qualitative method for identifying, analysing, and interpreting patterns of shared meaning — called themes — across a dataset. Developed by Virginia Braun and Victoria Clarke, it is theoretically flexible, works across epistemological positions, and foregrounds the researcher's active, interpretive role rather than treating themes as features that simply emerge from data. It differs from older 'codebook' approaches by treating the analyst's subjectivity as a resource rather than a source of bias to be suppressed. |
| ScholarGateชุดข้อมูล ↗ |
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