방법 비교

	Content Analysis of Treaties	Event Data Analysis of Conflict	질적 내용 분석
분야	International Relations	International Relations	질적 연구
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	2000	1994	1980
창시자	Klaus Krippendorff (content analysis methodology); legalization literature (Abbott et al.)	Philip Schrodt (KEDS/TABARI); ICEWS team (Boschee et al.)	Klaus Krippendorff; refined by Margrit Schreier
유형	Systematic coding of the text and design features of international agreements	Automated extraction of structured political events from news text	Method
원전	Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89.	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.
별칭	Treaty Text Analysis, International Agreement Coding, Treaty Design Content Analysis, Legalization 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
관련	3	4	2
요약	Content analysis of treaties is the systematic, rule-governed coding of the text and design features of international agreements — their obligations, precision, delegation, enforcement, flexibility, and substantive provisions — to study how treaties are written and what explains variation in their design. It applies the established content-analysis methodology codified by Krippendorff to the specialized vocabulary of international law and institutions, often organized around frameworks such as the legalization concept of Abbott and colleagues (2000).	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).