Sammenlign metoder

	Multivariat kvantitativ indholdsanalyse	Kvantitativ indholds­analyse
Fagområde	Forskningsdesign	Forskningsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1969–2000s	1950s (Berelson 1952; Krippendorff 1980/2004)
Ophavsperson	Rooted in Holsti (1969) and Neuendorf (2002); multivariate extensions developed in communication and political science research from the 1970s onward	Bernard Berelson; later systematised by Klaus Krippendorff
Type	Quantitative research design	Quantitative observational research method
Oprindelig kilde	Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773	Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage. ISBN: 978-0761915454
Aliasser	multivariate QCA, multivariate content analysis, MQCA, multivariate text analysis	QCA, manifest content analysis, systematic content analysis, frequency-based content analysis
Relaterede	6	4
Resumé	Multivariate quantitative content analysis (MQCA) is a systematic, replicable approach to measuring multiple attributes of communication content simultaneously and examining how those attributes relate to each other or to external variables. It extends standard content analysis by applying multivariate statistical techniques — such as factor analysis, cluster analysis, regression, or MANOVA — to coded content data, enabling researchers to uncover complex patterns across many variables at once.	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.