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Prekrižna kvantitativna analiza sadržaja×Istraživanje putem ankete×
PodručjeDizajn istraživanjaDizajn istraživanja
ObiteljProcess / pipelineProcess / pipeline
Godina nastankaMid-20th century (formalized 1952–2000s)Late 19th century; methodologically systematised 1940s–1960s
TvoracBerelson, B.; Krippendorff, K.; Neuendorf, K. A.Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
VrstaQuantitative observational research designQuantitative (and mixed) non-experimental design
Temeljni izvorNeuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
Drugi naziviCS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysissurvey methodology, questionnaire research, survey design, survey study
Srodne44
SažetakCross-sectional quantitative content analysis is an observational research design in which a systematically drawn sample of communicative content — news articles, social media posts, advertisements, or other symbolic material — is collected at a single point in time and coded using pre-defined numerical categories to describe or test hypotheses about patterns, frequencies, or associations within that content.Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.
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ScholarGateUsporedite metode: Cross-sectional Quantitative Content Analysis · Survey Research. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare