odr: Optimal Design and Statistical Power for Experimental Studies
Investigating Main, Mediation, and Moderation Effects
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>.
| Version: |
1.4.4 |
| Depends: |
R (≥ 3.3.0), stats (≥ 3.0.0), graphics (≥ 3.0.0), base (≥
3.0.0) |
| Suggests: |
rmarkdown, knitr, markdown |
| Published: |
2023-08-08 |
| Author: |
Zuchao Shen  [aut,
cre],
Benjamin Kelcey [aut] |
| Maintainer: |
Zuchao Shen <zuchao.shen at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| In views: |
ExperimentalDesign |
| CRAN checks: |
odr results |
Documentation:
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