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Análise de Conteúdo×Matched-Guise Technique×
ÁreaQualitativoLinguística
FamíliaProcess / pipelineProcess / pipeline
Ano de origemSystematised through Krippendorff's methodology work; 4th edition 20181960
Autor originalKlaus Krippendorff (systematic formulation); roots in early 20th-century communications researchWallace Lambert and colleagues
TipoQualitative / mixed-method research techniqueIndirect experimental measure of language attitudes
Fonte seminalKrippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661Lambert, W. E., Hodgson, R. C., Gardner, R. C., & Fillenbaum, S. (1960). Evaluational reactions to spoken languages. Journal of Abnormal and Social Psychology, 60(1), 44–51. DOI ↗
Outros nomesİçerik Analizi, systematic content coding, quantitative content analysisMatched Guise Test, Matched-Guise Experiment, Language Attitude Matched Guise
Relacionados52
ResumoContent 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.The matched-guise technique is an indirect experimental method for measuring attitudes toward languages, dialects, and accents. Developed by Wallace Lambert and colleagues in 1960, it has the same bilingual or bidialectal speaker record the same passage in two or more language varieties ('guises'); listeners, believing they are hearing different speakers, rate each recording on personality and status traits. Because the voice, content, and delivery are held constant, any differences in the ratings can be attributed to listeners' attitudes toward the variety itself.
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ScholarGateComparar métodos: Content Analysis · Matched-Guise Technique. Recuperado em 2026-06-25 de https://scholargate.app/pt/compare