Сравнение на методи

	Съдържателен анализ	Event Data Analysis of Conflict	Качествен анализ на съдържанието
Област	Качествени методи	International Relations	Качествени изследвания
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Година на възникване	Systematised through Krippendorff's methodology work; 4th edition 2018	1994	1980
Създател	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research	Philip Schrodt (KEDS/TABARI); ICEWS team (Boschee et al.)	Klaus Krippendorff; refined by Margrit Schreier
Тип	Qualitative / mixed-method research technique	Automated extraction of structured political events from news text	Method
Основополагащ източник	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661	Schrodt, P. A., Davis, S. G., & Weddle, J. L. (1994). Political science: KEDS — A program for the machine coding of event data. Social Science Computer Review, 12(4), 561–588. See also Gerner, Schrodt et al. (1994), Machine coding of event data using regional and international sources, International Studies Quarterly, 38(1), 91–119.	Krippendorff, K. (1980). Content analysis: An introduction to its methodology. Sage Publications.
Други названия	İçerik Analizi, systematic content coding, quantitative content analysis	Political Event Data, Machine-Coded Conflict Event Data, Conflict Event Extraction, Who-Did-What-to-Whom Event Coding	Content Analysis, Categorical Content Analysis
Свързани	5	4	2
Резюме	Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.	Event data analysis is the automated extraction of structured records of political interactions — who did what to whom, when, and where — from large volumes of news text, for the quantitative study of conflict and cooperation. Pioneered for machine coding by Philip Schrodt with the KEDS and TABARI systems and scaled in projects such as ICEWS and GDELT, it turns unstructured reporting into dated actor-action-target triples coded to an ontology like CAMEO, which can then be aggregated into time series of interstate or intrastate hostility.	Qualitative Content Analysis (QCA) is a systematic, inductive method for analyzing textual or visual data by identifying and categorizing meaning units into content categories. Developed and formalized by Klaus Krippendorff (1980), QCA can be purely qualitative (inductive, exploratory) or combined with quantitative counting; it analyzes manifest content (explicit, surface meanings) and latent content (underlying, interpretive meanings).