Optimal Design and Statistical Power for Multilevel Experiments
c(person(given = "Zuchao",
family = "Shen",
email = "zuchao.shen@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3483-0451")),
person(given = "Benjamin",
family = "Kelcey",
role = "aut"))
Calculate the optimal sample allocation that produces the highest statistical power
for experimental studies under a budget constraint,
perform power analyses with and without accommodating cost structures of sampling, and calculate
the relative efficiency between two sample allocations.
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. (2022). Optimal sampling ratios in three-level
multisite experiments.
Journal of Research on Educational Effectiveness, 15 (1), 130-150.
<doi:10.1080/19345747.2021.1953200>.
(3) Shen, Z., & Kelcey, B. (in press). 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>.
Zuchao Shen [aut, cre] (<https://orcid.org/0000-0003-3483-0451>),
Benjamin Kelcey [aut]

Use The Observatory of Economic Complexity's API from R console to obtain international trade data to create spreadsheets (csv format) and D3Plus visualizations.

Use The Observatory of Economic Complexity's API from R console to obtain international trade data to create spreadsheets (csv format) and D3plus visualizations.

Use the Observatory of Economic Complexity's API in R
Mauricio Vargas S. <mvargas@dcc.uchile.cl> [aut, cre], Cesar A. Hidalgo <hidalgo@media.mit.edu> [aut]
Use The Observatory of Economic Complexity's API in R to download international trade data in csv and create and D3Plus visualizations.