Methoden vergleichen

	Longitudinal Explanatory Research	Erklärende Forschung – Design erklärender Forschung
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1970s–1990s (formal methodological codification)	1960s–1980s (codified in behavioral and social science methodology)
Urheber	Rooted in panel and longitudinal survey traditions; systematised by Scott Menard and others in the late 20th century	Formalized by Earl Babbie and Fred Kerlinger among others
Typ	Quantitative observational research design	Non-experimental quantitative research design
Wegweisende Quelle	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452	Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559
Aliasnamen	explanatory longitudinal design, longitudinal causal research, explanatory panel study, longitudinal explanatory study	analytical research, causal research, explanatory study, explanatory quantitative research
Verwandt	4	5
Zusammenfassung	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.	Explanatory research is a non-experimental quantitative research design that goes beyond describing a phenomenon to identifying why it occurs — examining the relationships or mechanisms that account for observed patterns. Rooted in positivist social science methodology, it uses theory-driven hypotheses and statistical analysis to test whether specific variables explain variation in an outcome, without necessarily manipulating those variables.