Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Teori Berdasar Straussian Digital× | Analisis Tematik× | |
|---|---|---|
| Bidang≠ | Kualitatif | Penyelidikan Kualitatif |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1990 (Strauss & Corbin foundational); digital adaptation 2000s–2010s | 2006 |
| Pengasas≠ | Anselm Strauss & Juliet Corbin (foundational GT); adapted to digital contexts by subsequent methodologists | Virginia Braun and Victoria Clarke |
| Jenis≠ | Qualitative research design and analysis approach | Method |
| Sumber perintis≠ | Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias≠ | digital GT (Straussian), Straussian GT in digital contexts, online Straussian grounded theory, digital Strauss-Corbin grounded theory | TA, Reflexive Thematic Analysis |
| Berkaitan≠ | 6 | 3 |
| Ringkasan≠ | Digital Straussian grounded theory applies the systematic, coding-driven approach of Strauss and Corbin's grounded theory to digital data sources such as online forums, social media, chat logs, and digital documents. It retains the Straussian paradigm model and three-stage coding structure — open, axial, and selective — while adapting sampling strategies, theoretical saturation criteria, and ethical protocols to the unique features of online and digital research environments. | 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. |
| ScholarGateSet data ↗ |
|
|