Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Diseño Longitudinal Ex Post Facto× | Investigación Longitudinal× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1964–1986 (Kerlinger 1964 first edition; Campbell & Stanley 1966) | Late 19th–early 20th century; methodologically codified through the 20th century |
| Autor original≠ | Fred N. Kerlinger (systematized); Donald T. Campbell & Julian C. Stanley (quasi-experimental framework) | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| Tipo≠ | Non-experimental quantitative research design | Quantitative (or mixed) observational research design |
| Fuente seminal≠ | Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417498 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| Alias | longitudinal causal-comparative design, longitudinal after-the-fact design, longitudinal retrospective design, LEPF design | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| Relacionados≠ | 5 | 4 |
| Resumen≠ | A longitudinal ex post facto design combines the time-depth of longitudinal research with the retrospective logic of ex post facto inquiry. Participants are grouped by a naturally occurring characteristic or past event — not randomly assigned — and then observed or measured at multiple points over time. The goal is to trace how pre-existing differences between groups unfold or predict outcomes across an extended period, without the researcher ever manipulating the independent variable. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
| ScholarGateConjunto de datos ↗ |
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