방법 비교

	계량 내용 분석	기술 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	1950s (Berelson 1952; Krippendorff 1980/2004)	Late 19th century; formalized in social/behavioral sciences ~1960s–1980s
창시자	Bernard Berelson; later systematised by Klaus Krippendorff	Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger
유형	Quantitative observational research method	Non-experimental quantitative research design
원전	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
별칭	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis	descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research
관련	4	3
요약	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.