Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Hierarhiskā kvantitatīvā satura analīze× | Tematiskā analīze× | |
|---|---|---|
| Nozare≠ | Pētījuma dizains | Kvalitatīvie pētījumi |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1980s–1990s (formalized in Krippendorff 1980; elaborated through subsequent editions) | 2006 |
| Autors≠ | Klaus Krippendorff (hierarchical category systems formalized in content analysis methodology) | Virginia Braun and Victoria Clarke |
| Tips≠ | Quantitative research design | Method |
| Pirmavots≠ | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395678 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Citi nosaukumi≠ | hierarchical coding content analysis, nested category content analysis, tree-structured content analysis, HQCA | TA, Reflexive Thematic Analysis |
| Saistītās≠ | 2 | 3 |
| Kopsavilkums≠ | Hierarchical quantitative content analysis is a systematic method for coding and counting text or media content using nested, tree-structured category schemes. Rather than a flat list of mutually exclusive codes, categories are organized into parent-child levels — broad themes subdivide into specific sub-themes — enabling researchers to aggregate or disaggregate frequencies at any level of the hierarchy and to produce richly structured numerical summaries of large corpora. | 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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