Description Usage Arguments Value References Examples
d-value (i.e., standardized mean difference) Replication Interval
1 |
d |
Original study: Sample d-value (standardized mean difference) created with pooled variance denominator. See formulas 4.18 and 4.19 (p.26) in Borenstein, Hedges, Higgins, & Rothstein (2009). |
n1 |
Original study: Sample size for group 1 |
n2 |
Original study: Sample size for group 2 |
rep.n1 |
(optional) Replication study: Sample size for group 1. If not specified, n1 is used. |
rep.n2 |
(optional) Replication study: Sample size for group 2. If not specified, n2 is used. |
prob.level |
(optional 0 to 1 value) Probability level desired (0 to 1). If not specified .95 (i.e., 95 percent) will be used. |
A list of values (lower.replication.interval.d, upper.replication.interval.d
) containing the replication interval (and related statistics if requested with the extended.output
argument).
Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley & Sons.
Cumming, G., & Finch, S. (2001). A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61(4), 532-574.
1 | ri.d(d=.65,n1=50,n2=50,rep.n1=100,rep.n2=100)
|
Original study: d = 0.65, N1 = 50, N2 = 50, 95% CI[0.25, 1.05]
Replication study: N1 = 100, N2 = 100
Replication interval: 95% RI[0.16,1.14].
Interpretation:
The original d-value is 0.65 - with a replication interval 95% RI[0.16, 1.14] based a replication cell sizes N1 = 100 and N2 = 100. If the replication d-value differs from the original d-value only due to sampling error, there is a 95% chance the replication result will fall in this interval. If the replication d-value falls outside of this range, factors beyond sampling error are likely also responsible for the difference.
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