Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Digitālā kvalitatīvā satura analīze× | Tematiskā analīze× | |
|---|---|---|
| Nozare≠ | Kvalitatīvās metodes | Kvalitatīvie pētījumi |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2010s (building on qualitative content analysis traditions from 1983–2012) | 2006 |
| Autors≠ | Adapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010s | Virginia Braun and Victoria Clarke |
| Tips≠ | Qualitative research method | Method |
| Pirmavots≠ | Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029485 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Citi nosaukumi≠ | DQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCA | TA, Reflexive Thematic Analysis |
| Saistītās≠ | 4 | 3 |
| Kopsavilkums≠ | Digital Qualitative Content Analysis (DQCA) is a systematic method for interpreting meaning from digital texts — social media posts, forum threads, blogs, emails, and other online content — through a structured, category-driven coding process. It extends the established tradition of qualitative content analysis (Mayring; Schreier) to the scale, multimodality, and contextual specificity of digital environments, prioritising interpretive depth over frequency counting. | 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. |
| ScholarGateDatu kopa ↗ |
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