Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Количественный контент-анализ× | Описательное исследование× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1950s (Berelson 1952; Krippendorff 1980/2004) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Автор метода≠ | Bernard Berelson; later systematised by Klaus Krippendorff | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Тип≠ | Quantitative observational research method | Non-experimental quantitative research design |
| Основополагающий источник≠ | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Другие названия | QCA, manifest content analysis, systematic content analysis, frequency-based content analysis | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Связанные≠ | 4 | 3 |
| Сводка≠ | 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. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. |
| ScholarGateНабор данных ↗ |
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