เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Manifest Content Analysis× | การวิเคราะห์เนื้อหาเชิงปริมาณ× | |
|---|---|---|
| สาขาวิชา≠ | Communication | การออกแบบการวิจัย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1952 | 1950s (Berelson 1952; Krippendorff 1980/2004) |
| ผู้ริเริ่ม≠ | Bernard Berelson; codified by Klaus Krippendorff | Bernard Berelson; later systematised by Klaus Krippendorff |
| ประเภท≠ | Systematic quantitative coding of explicit message content | Quantitative observational research method |
| แหล่งต้นตำรับ≠ | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454 | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454 |
| ชื่อเรียกอื่น | Quantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysis | QCA, manifest content analysis, systematic content analysis, frequency-based content analysis |
| ที่เกี่ยวข้อง≠ | 5 | 4 |
| สรุป≠ | Manifest content analysis is a quantitative research technique that systematically counts the explicit, surface-level features of communication messages — words, sources, themes, images, or actors that are directly visible in the text or media artifact — according to a predefined coding scheme. Rooted in Bernard Berelson's classic definition of content analysis as the 'objective, systematic, and quantitative description of the manifest content of communication,' it is one of the foundational empirical methods of mass communication and media research. | 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. |
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