between-subjects design


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Related to between-subjects design: within-subjects design

between-subjects design

n
(Statistics) (modifier) statistics (of an experiment) concerned with measuring the value of the dependent variable for distinct and unrelated groups subjected to each of the experimental conditions. Compare within-subjects design, matched-pairs design
References in periodicals archive ?
Therefore, a between-subjects design would also be able to address the research question of interest in this experiment.
In addition, two or more groups can be compared in a between-subjects design or a factorial design.
As part of a 2 (Team Gender: Female or Male) x 2 (Expletive Use: Present or Absent) between-subjects design, participants were asked to participate in a study investigating people's perceptions of halftime speeches.
Seventy age-matched participants (N = 35 men; N = 35 women) were randomly assigned to smoke either an active or placebo marijuana cigarette in a double-blind, between-subjects design after which they completed a standardized neuropsychological test battery.
In the first treatment, data generated from a between-subjects design are examined: 30 subjects completed the individual-choice task only, and 45 subjects (15 groups) completed the group-choice task only.
Five cost allocation methods are employed in this experiment with a between-subjects design.
Those who are designing new studies should consider that the psychological meaning of an effect from a within-subjects study often can be very different than the effect of the same in dependent variable in a between-subjects design and that, in the former case, careful examination of order effects and, especially, the interaction of order with manipulation are crucial to interpreting outcomes.
A 3 X 3 between-subjects design was used in the experiment.
A quasi-experimental between-subjects design was used.
The authors note that this design allowed them to avoid the distortion of results that might occur in a between-subjects design, when everyone exposed to one version of a scenario could be more "conservative" (or more "liberal") than those exposed to a second version of the scenario.