Computes the generalized replication Bayes factor for standardized mean difference (SMD) effect sizes
BFrSMD(
to,
no,
n1o = no,
n2o = no,
tr,
nr,
n1r = nr,
n2r = nr,
ss,
type = c("two.sample", "one.sample", "paired")
)The generalized replication Bayes factor \(\mathrm{BF}_{\mathrm{SA}}\). \(\mathrm{BF}_{\mathrm{SA}} < 1\) indicates that the data favour the advocate's hypothesis \(H_{\mathrm{A}}\) (replication success), whereas \(\mathrm{BF}_{\mathrm{SA}} > 1\) indicates that the data favour the sceptic's hypothesis \(H_{\mathrm{S}}\) (replication failure).
\(t\)-statistic from the original study
Sample size of the original study (per group)
Sample size in group 1 of the original study (only required for two-sample \(t\)-test with unequal group sizes)
Sample size in group 2 of the original study (only specify if unequal group sizes)
\(t\)-statistic from the replication study
Sample size of the replication study (per group)
Sample size in group 1 of the replication study (only required for two-sample \(t\)-test with unequal group sizes)
Sample size in group 2 of the replication study (only required for two-sample \(t\)-test with unequal group sizes)
Standard devation of the sceptical prior under
\(H_\mathrm{S}\). Defaults to 0
Type of \(t\)-test associated with \(t\)-statistic. Can be
"two.sample", "one.sample", "paired". Defaults to "two.sample"
Samuel Pawel
This function computes the generalized replication Bayes factor for
standardized mean difference (SMD) effect sizes using an exact
t-likelihood for the data instead of the normal approximation used in
BFr (for details, see Section 4 in Pawel and Held, 2022).
Data from both studies are summarized by \(t\)-statistics and sample
sizes. The following types of \(t\)-tests are accepted:
Two-sample \(t\)-test where the SMD represents the standardized mean difference between two group means (assuming equal variances in both groups).
One-sample \(t\)-test where the SMD represents the standardized mean difference to the null value.
Paired \(t\)-test where the SMD represents the standardized mean difference score.
Verhagen, J. and Wagenmakers, E. J. (2014). Bayesian tests to quantify the result of a replication attempt. Journal of Experimental Psychology: General, 145:1457-1475. tools:::Rd_expr_doi("10.1037/a0036731")
Pawel, S. and Held, L. (2022). The sceptical Bayes factor for the assessment of replication success. Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(3): 879-911. tools:::Rd_expr_doi("10.1111/rssb.12491")
BFr, BFrlogOR
data("SSRPexact")
morewedge2010 <- subset(SSRPexact, study == "Morewedge et al. (2010), Science")
with(morewedge2010,
BFrSMD(to = to, n1o = n1o, n2o = n2o, tr = tr, n1r = n1r, n2r = n2r, ss = 0))
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