Comparar métodos

	Investigación Explicativa Longitudinal	Investigación Longitudinal
Campo	Diseño de investigación	Diseño de investigación
Familia	Process / pipeline	Process / pipeline
Año de origen	1970s–1990s (formal methodological codification)	Late 19th–early 20th century; methodologically codified through the 20th century
Autor original	Rooted in panel and longitudinal survey traditions; systematised by Scott Menard and others in the late 20th century	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Tipo	Quantitative observational research design	Quantitative (or mixed) observational research design
Fuente seminal	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
Alias	explanatory longitudinal design, longitudinal causal research, explanatory panel study, longitudinal explanatory study	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Relacionados	4	4
Resumen	Longitudinal explanatory research combines repeated measurement over time with an explicit aim of explaining why and how variables change or influence one another. Unlike purely descriptive longitudinal designs, the explanatory orientation tests causal or predictive hypotheses by examining temporal precedence — a key criterion for causal inference in non-experimental settings. It is widely used in social, behavioral, educational, and health sciences to disentangle cause from correlation.	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.