Methoden vergleichen

	Erklärende Forschung – Design erklärender Forschung	Hypothesentest-Forschung – Konfirmatorisches quantitatives Design
Fachgebiet	Forschungsdesign	Forschungsdesign
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1960s–1980s (codified in behavioral and social science methodology)	Early 20th century (Fisher 1925; Neyman–Pearson 1933)
Urheber	Formalized by Earl Babbie and Fred Kerlinger among others	Karl Pearson, Ronald A. Fisher, Jerzy Neyman, Egon Pearson
Typ	Non-experimental quantitative research design	Quantitative confirmatory research design
Wegweisende Quelle	Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559	Kerlinger, F. N., & Lee, H. B. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417603
Aliasnamen	analytical research, causal research, explanatory study, explanatory quantitative research	hypothetico-deductive research, confirmatory quantitative research, null hypothesis significance testing, NHST design
Verwandt	5	4
Zusammenfassung	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.	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.