Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Полевой метафорический анализ× | Тематический анализ× | |
|---|---|---|
| Область≠ | Качественные методы | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s (field-based applications) | 2006 |
| Автор метода≠ | Rooted in Lakoff & Johnson (1980); field-based application developed across educational and social science research from the 1990s onward | Virginia Braun and Victoria Clarke |
| Тип≠ | Qualitative analytic method | Method |
| Основополагающий источник≠ | Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. University of Chicago Press. ISBN: 978-0226468013 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия≠ | field metaphor elicitation, naturalistic metaphor analysis, contextual metaphor analysis, FbMA | TA, Reflexive Thematic Analysis |
| Связанные≠ | 5 | 3 |
| Сводка≠ | Field-based metaphor analysis is a qualitative method that collects and interprets spontaneous or elicited metaphors from participants in their natural settings. Grounded in Lakoff and Johnson's conceptual metaphor theory, it reveals how individuals and communities structure abstract concepts — such as teaching, leadership, or illness — through figurative language encountered or produced in real contexts. Unlike purely document-based metaphor studies, field-based variants combine data collection in natural field settings with systematic analytic coding. | 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. |
| ScholarGateНабор данных ↗ |
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