Compares and combines single mean in original and follow-up studies
Source:R/meta_rep.R
      replicate.mean1.RdThis function computes confidence intervals for a single mean from an original study and a follow-up study. Confidence intervals for the difference between the two means and average of the two means are also computed. Equality of variances across studies is not assumed. A Satterthwaite adjustment to the degrees of freedom is used to improve the accuracy of the confidence intervals for the difference and average. The confidence level for the difference is 1 – 2*alpha, which is recommended for equivalence testing.
Value
A 4-row matrix. The rows are:
- Row 1 summarizes the original study 
- Row 2 summarizes the follow-up study 
- Row 3 estimates the difference in means 
- Row 4 estimates the average mean 
The columns are:
- Estimate - mean estimate (single study, difference, average) 
- SE - standard error 
- LL - lower limit of the confidence interval 
- UL - upper limit of the confidence interval 
- df - degrees of freedom 
References
Bonett DG (2021). “Design and analysis of replication studies.” Organizational Research Methods, 24(3), 513–529. ISSN 1094-4281, doi:10.1177/1094428120911088 .
Examples
replicate.mean1(.05, 21.9, 3.82, 40, 25.2, 3.98, 75)
#>                       Estimate        SE        LL        UL       df
#> Original:                21.90 0.6039950 20.678305 23.121695 39.00000
#> Follow-up:               25.20 0.4595708 24.284285 26.115715 74.00000
#> Original - Follow-up:    -3.30 0.7589567 -4.562527 -2.037473 82.63282
#> Average:                 23.55 0.3794784 22.795183 24.304817 82.63282
# Should return:
#                       Estimate        SE        LL        UL       df
# Original:                21.90 0.6039950 20.678305 23.121695 39.00000
# Follow-up:               25.20 0.4595708 24.284285 26.115715 74.00000
# Original - Follow-up:    -3.30 0.7589567 -4.562527 -2.037473 82.63282
# Average:                 23.55 0.3794784 22.795183 24.304817 82.63282