Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Иерархический количественный контент-анализ× | Количественный контент-анализ× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s–1990s (formalized in Krippendorff 1980; elaborated through subsequent editions) | 1950s (Berelson 1952; Krippendorff 1980/2004) |
| Автор метода≠ | Klaus Krippendorff (hierarchical category systems formalized in content analysis methodology) | Bernard Berelson; later systematised by Klaus Krippendorff |
| Тип≠ | Quantitative research design | Quantitative observational research method |
| Основополагающий источник≠ | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395678 | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454 |
| Другие названия | hierarchical coding content analysis, nested category content analysis, tree-structured content analysis, HQCA | QCA, manifest content analysis, systematic content analysis, frequency-based content analysis |
| Связанные≠ | 2 | 4 |
| Сводка≠ | 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. | Quantitative content analysis is a systematic, replicable method for converting the manifest content of text, images, or other recorded communication into numerical data. By applying a pre-specified codebook to a defined corpus and counting or scaling the resulting categories, researchers obtain frequency distributions, proportions, and relationships that can be subjected to standard statistical tests. It is the dominant method for large-scale, objective analysis of media, documents, social media posts, policy texts, and similar materials. |
| ScholarGateНабор данных ↗ |
|
|