Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Pesquisa de Teste de Modelo× | Pesquisa de Teste de Hipóteses× | |
|---|---|---|
| Área | Delineamento de pesquisa | Delineamento de pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1970s (Joreskog 1969–1973); widely adopted in social sciences by the 1980s–1990s | Early 20th century (Fisher 1925; Neyman–Pearson 1933) |
| Autor original≠ | Karl G. Joreskog (SEM/LISREL framework); formalized through structural equation modeling tradition | Karl Pearson, Ronald A. Fisher, Jerzy Neyman, Egon Pearson |
| Tipo≠ | Confirmatory quantitative research design | Quantitative confirmatory research design |
| Fonte seminal≠ | Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press. ISBN: 978-1462523344 | Kerlinger, F. N., & Lee, H. B. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417603 |
| Outros nomes | model-based research, structural model testing, theory-testing research, MTR | hypothetico-deductive research, confirmatory quantitative research, null hypothesis significance testing, NHST design |
| Relacionados≠ | 5 | 4 |
| Resumo≠ | Model testing research is a confirmatory quantitative design in which the researcher specifies a theoretical model — depicting hypothesized relationships among constructs — and then tests how well that model fits empirical data. Drawing primarily on structural equation modeling (SEM) and confirmatory factor analysis (CFA), it evaluates whether the data-implied covariance structure is consistent with the theoretically derived one, yielding fit indices that indicate model-data correspondence. | Hypothesis testing research is a quantitative design in which the investigator derives one or more explicit, falsifiable propositions from theory, translates them into a null hypothesis (H0) and an alternative hypothesis (H1), collects empirical data, and then applies an inferential statistical test to decide whether the evidence is sufficient to reject H0. The approach is the dominant paradigm for confirmatory science across the social, behavioral, health, and natural sciences. |
| ScholarGateConjunto de dados ↗ |
|
|