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Dizajni Fatorial ABAB×Eksperiment Faktorijal×
FushaDizajni eksperimentalDizajni eksperimental
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1960s–1970s (integration of factorial and single-subject reversal traditions)1926–1935
KrijuesiDerived from Sidman (1960) reversal logic and Fisher & Yates factorial principles; systematized in applied behavior analysisRonald A. Fisher
LlojiSingle-subject experimental designQuantitative experimental design
Burimi themeluesKazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Emërtime të tjerafactorial reversal design, factorial withdrawal design, multi-factor ABAB design, factorial single-subject reversalfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Të lidhura56
PërmbledhjaThe factorial ABAB design embeds a factorial structure within the classical ABAB reversal framework, enabling a single participant or a small set of participants to experience multiple factor combinations across alternating baseline (A) and treatment (B) phases. By systematically withdrawing and reinstating treatment conditions that vary across two or more factors, the design allows examination of both main effects and interactions at the individual level, providing strong experimental control through within-subject replication.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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ScholarGateKrahasoni metodat: Factorial ABAB Design · Factorial Experiment. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare