Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Investigación descriptiva comparativa× | Investigación Causal-Comparativa× | Investigación Descriptiva× | Investigación por Encuestas× | |
|---|---|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline | Process / pipeline | Process / pipeline |
| Año de origen≠ | Mid-20th century, formalized in research methods texts from the 1960s onward | 1964 | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s | Late 19th century; methodologically systematised 1940s–1960s |
| Autor original≠ | Codified in educational and behavioral research methods literature; no single originator | Fred N. Kerlinger | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tipo≠ | Non-experimental quantitative research design | Non-experimental quantitative research design | Non-experimental quantitative research design | Quantitative (and mixed) non-experimental design |
| Fuente seminal≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097874 | Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | comparative survey design, descriptive comparative study, group-comparison descriptive research, CDR | ex post facto research, causal-comparative design, retrospective causal study, CCR | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research | survey methodology, questionnaire research, survey design, survey study |
| Relacionados≠ | 3 | 3 | 3 | 4 |
| Resumen≠ | Comparative descriptive research is a non-experimental quantitative design that systematically documents characteristics, attitudes, behaviors, or conditions across two or more naturally occurring groups, then places those descriptions side by side to identify similarities and differences. Unlike causal-comparative designs, it makes no claim about why groups differ — it rigorously answers the question 'How do these groups compare on this characteristic?' without manipulating any variable. | Causal-comparative research is a non-experimental quantitative design in which the researcher compares two or more groups that already differ on an independent variable — one that was not manipulated — to investigate possible causes or consequences of that difference. Because group membership is pre-existing rather than randomly assigned, the design can suggest causal relationships but cannot establish them with the certainty of a true experiment. It is widely used in education, psychology, and social sciences when experimental manipulation is impractical or unethical. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. | 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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