ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Prueba A/B simple ciego×Prueba A/B Bloqueada×
CampoDiseño experimentalDiseño experimental
FamiliaProcess / pipelineProcess / pipeline
Año de origenmid-20th century (blinded RCT framework); A/B test nomenclature ~1990s–2000s1926 (blocking principle); 2000s–2010s (online A/B testing application)
Autor originalFisher, R. A. (randomisation basis); blinding practice formalised in clinical trials mid-20th centuryR. A. Fisher (blocking principle); adapted to online A/B testing by industry practitioners
TipoControlled experiment with partial blindingRandomized controlled experiment with variance reduction
Fuente seminalKohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press. ISBN: 978-1108724265Fisher, R. A. (1926). The arrangement of field experiments. Journal of the Ministry of Agriculture of Great Britain, 33, 503–513. link ↗
Aliassingle-masked A/B test, single-blind split test, blinded two-condition experiment, participant-blind A/B testblock-randomized A/B test, stratified A/B test, blocked split test, block-design A/B experiment
Relacionados64
ResumenA single-blind A/B test is a controlled two-condition experiment in which participants are randomised to condition A (control) or condition B (treatment) but are kept unaware of which condition they have received, while researchers and analysts remain aware. The blind prevents participants from changing their behaviour in response to knowledge of their assignment, reducing demand characteristics and response bias while still allowing the investigator to monitor the trial.A blocked A/B test is an experimental design that partitions units (users, subjects, or clusters) into homogeneous blocks before randomly assigning them to treatment A or treatment B within each block. Blocking reduces within-experiment noise by ensuring that known sources of variation — such as device type, geography, or user tenure — are balanced across conditions, yielding more precise estimates of the treatment effect than a simple unblocked A/B test.
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: Single-blind A/B test · Blocked A/B Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare