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finally fix 0.43 vs 0.48 bounds issue in example text everywhere. #47

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Lakens opened this issue Dec 4, 2019 · 0 comments
Open

finally fix 0.43 vs 0.48 bounds issue in example text everywhere. #47

Lakens opened this issue Dec 4, 2019 · 0 comments

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@Lakens
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Lakens commented Dec 4, 2019

Eskine (2013) showed that participants who had been exposed to organic

food were substantially harsher in their moral judgments relative to

those exposed to control (d = 0.81, 95% CI: [0.19, 1.45]). A

replication by Moery & Calin-Jageman (2016, Study 2) did not observe

a significant effect (Control: n = 95, M = 5.25, SD = 0.95, Organic

Food: n = 89, M = 5.22, SD = 0.83). Following Simonsohn's (2015)

recommendation the equivalence bound was set to the effect size the

original study had 33% power to detect (with n = 21 in each condition,

this means the equivalence bound is d = 0.48, which equals a

difference of 0.384 on a 7-point scale given the sample sizes and a

pooled standard deviation of 0.894). Using a TOST equivalence test

with default alpha = 0.05, not assuming equal variances, and equivalence

bounds of d = -0.43 and d = 0.43 is significant, t(182) = -2.69,

p = 0.004. We can reject effects larger than d = 0.43.

TOSTtwo(m1=5.25,m2=5.22,sd1=0.95,sd2=0.83,n1=95,n2=89,low_eqbound_d=-0.43,high_eqbound_d=0.43)

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