เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์แก่นสาระดิจิทัล× | การวิเคราะห์ใจความแบบสะท้อนคิด× | |
|---|---|---|
| สาขาวิชา | เชิงคุณภาพ | เชิงคุณภาพ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2006 (base method); digital application 2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| ผู้ริเริ่ม≠ | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward | Virginia Braun & Victoria Clarke |
| ประเภท≠ | Qualitative data analysis method | Qualitative research method |
| แหล่งต้นตำรับ≠ | Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| ชื่อเรียกอื่น | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| ที่เกี่ยวข้อง≠ | 5 | 6 |
| สรุป≠ | Digital Thematic Analysis applies Braun and Clarke's six-phase thematic analysis framework to qualitative data generated in or harvested from digital environments — including social media platforms, online forums, blogs, digital interview transcripts, and user-generated web content. It retains the same systematic coding logic as standard thematic analysis while incorporating additional decisions about data demarcation, platform context, and the ethical handling of publicly available digital material. | 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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