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Σχεδιασμός Πειράματος με Διπλή Τύφλωση και Ομάδα Ελέγχου×Πειραματικός Σχεδιασμός Παραγόντων×
ΠεδίοΠειραματικός ΣχεδιασμόςΠειραματικός Σχεδιασμός
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1930s–1950s (formalized in clinical trial methodology)1926–1935
ΔημιουργόςR. A. Fisher (experimental control foundations); blinding practices evolved in clinical research through the 20th centuryRonald A. Fisher
ΤύποςExperimental research designQuantitative experimental design
Θεμελιώδης πηγήFisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Εναλλακτικές ονομασίεςdouble-blind controlled experiment, DB-CG design, double-masked controlled trial, double-blind controlled studyfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Συναφείς56
ΣύνοψηA double-blind control group experimental design is a rigorous experimental structure in which participants are randomly assigned to at least one treatment group and one control group, while both the participants and the researchers collecting or assessing outcomes are kept unaware of group assignment. By combining allocation concealment with blinding at two levels, the design minimizes expectancy bias, placebo effects, and assessor bias simultaneously, making it a cornerstone of high-quality intervention research in medicine, psychology, and the social sciences.A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.
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ScholarGateΣύγκριση μεθόδων: Double-blind Control Group Experimental Design · Factorial Experiment. Ανακτήθηκε στις 2026-06-19 από https://scholargate.app/el/compare