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Дизайн Соломона з блокуванням на чотири групи×Факторний експеримент×
ГалузьПланування експериментуПланування експерименту
РодинаProcess / pipelineProcess / pipeline
Рік появи1949 (base); blocking extension applied in behavioral and social sciences from mid-20th century onward1926–1935
Автор методуRichard L. Solomon (base design, 1949); blocking integrated from classical experimental design tradition (Fisher, 1935)Ronald A. Fisher
ТипExperimental designQuantitative experimental design
Основоположне джерелоSolomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Інші назвиBlocked S4G, randomized blocked Solomon design, Solomon four-group with blockingfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Пов'язані66
ПідсумокThe blocked Solomon four-group design combines Solomon's classic four-group structure — which disentangles pretest sensitization effects from treatment effects — with blocking on a known nuisance variable. Participants are first grouped into homogeneous blocks (e.g., by baseline ability, gender, or site), then randomly assigned within each block to one of four conditions: pretested treatment, pretested control, unpretested treatment, and unpretested control. This structure simultaneously controls for maturation, pretest reactivity, and block-level variance, making it one of the strongest quasi-controlled experimental frameworks available.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.
ScholarGateНабір даних
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ScholarGateПорівняння методів: Blocked Solomon Four-Group Design · Factorial Experiment. Отримано 2026-06-19 з https://scholargate.app/uk/compare