| Name : R-odr
| |
| Version : 1.4.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-06-24 14:05:12
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| Group : Development/Libraries/Other
| Source RPM : R-odr-1.4.4-lp156.1.1.src.rpm
|
| Size : 0.49 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
|
Description :
Calculate the optimal sample size allocation that produces the highest
statistical power for experimental studies under a budget constraint,
and perform power analyses with and without accommodating cost
structures of sampling. The designs cover single-level and multilevel
experiments detecting main, mediation, and moderation effects (and some
combinations). The references for the proposed methods include: (1)
Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal
costs in cluster-randomized trials. Journal of Educational and
Behavioral Statistics, 45(4): 446-474. < doi:10.3102/1076998620912418>.
(2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for
three-level multisite cluster-randomized trials. Journal of Research on
Educational Effectiveness, 15 (1), 130-150.
< doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B.
(2022a). Optimal sample allocation in multisite randomized trials. The
Journal of Experimental Education. < doi:10.1080/00220973.2020.1830361>.
(4) Champely, S. (2020). pwr: Basic functions for power analysis
(Version 1.3-0) [Software]. Available from
< https://CRAN.R-project.org/package=pwr>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
