Comparer des méthodes

	Développement d'hypothèses	Formulation de la question de recherche
Domaine	Méthodologie de la recherche	Méthodologie de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1925	1950
Auteur d'origine	Ronald Fisher (1920s) and Neyman-Pearson (1930s)	Kerlinger, Campbell, & Fisher (1950s–1990s research methodology literature)
Type	Framework	Framework
Source fondatrice	Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver & Boyd.	Kerlinger, F. N., & Lee, H. B. (1999). Foundations of Behavioral Research (4th ed.). Wadsworth.
Alias	H0 and H1, null and alternative hypothesis	RQF, research question design
Apparentées	1	2
Résumé	A hypothesis is a testable prediction or proposed explanation for a phenomenon, expressed as a relationship between variables. Hypothesis development is the process of formulating null hypotheses (H₀, asserting no effect or relationship) and alternative hypotheses (H₁, asserting an effect or relationship) before data collection. This framework emerged from frequentist statistical theory developed by Ronald Fisher in the 1920s and refined by Neyman and Pearson in the 1930s. Hypotheses are essential in quantitative research because they translate research questions into statements that can be tested using statistical inference.	Research question formulation is the process of defining clear, focused, and answerable questions that guide a research study. A well-formulated research question specifies what a researcher seeks to investigate, distinguishing between independent and dependent variables (or phenomena), and sets the scope for literature review, methodological design, and data collection. Established in behavioral research literature in the mid-20th century, this framework remains foundational because it transforms vague research interests into testable, empirically grounded inquiries.