Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Conteúdo Quantitativa Transversal× | Pesquisa por Inquérito× | |
|---|---|---|
| Área | Delineamento de pesquisa | Delineamento de pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | Mid-20th century (formalized 1952–2000s) | Late 19th century; methodologically systematised 1940s–1960s |
| Autor original≠ | Berelson, 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 |
| Tipo≠ | Quantitative observational research design | Quantitative (and mixed) non-experimental design |
| Fonte seminal≠ | Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. ISBN: 978-0761919773 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Outros nomes | CS-QCA, cross-sectional content analysis, single-timepoint content analysis, quantitative media content analysis | survey methodology, questionnaire research, survey design, survey study |
| Relacionados | 4 | 4 |
| Resumo≠ | Cross-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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