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Trial Status
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Before
in_development
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After
completed
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Last Published
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Before
January 12, 2021 06:16 PM
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After
May 02, 2021 10:54 PM
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Experimental Design (Public)
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Before
We will randomly variate each subject's personal experience with AI.
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After
We will randomly variate each subject's personal experience with AI.
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Planned Number of Clusters
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Before
50 per treatment
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After
50 per treatment
According to our pilot test based on N=50 per treatment, the mean in changes in WOA is 0.0227, the standard deviation is 0.2453. We calculate the number of subjects needed to detect the difference with power 0.8 and significance level of 0.1 and conclude that we need 720 subjects in total, or 720/7=103 subjects per treatment.
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Planned Number of Observations
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Before
50*7=350 subjects
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After
50*7=350 subjects
Our pilot study was based on the pre-specified 350 subjects. Then our formal study was based on n=100 per treatment, as calculated above.
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Sample size (or number of clusters) by treatment arms
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Before
50*7=350 subjects
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After
50*7=350 subjects for the pilot
100*5(variation of feedback)*2(experts vs. layman)=1000 subjects for the formal study
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Power calculation: Minimum Detectable Effect Size for Main Outcomes
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Before
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After
pwr.t.test(n = , d = mean(delta_WOA)/sd(delta_WOA),
sig.level = 0.1, power = 0.8, type="paired")
where mean(delta_WOA)=-0.0227, sd(delta_WOA)=0.2453
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