Learn R Programming

PowerUpR (version 0.1.2)

power.bira2r1: Model 2.3: Statistical Power Calculator for 2-Level Random Effects Blocked Individual Random Assignment Designs, Individuals Randomized within Blocks

Description

power.bira2r1 calculates statistical power for designs with 2-levels where level 1 units are randomly assigned to treatment and control groups within level 2 units (random blocks).

Usage

power.bira2r1(mdes=.25, alpha=.05, two.tail=TRUE, rho2, omega2, g2=0, P=.50, R12=0, RT22=0, n, J, ...)

Arguments

mdes
minimum detectable effect size.
alpha
probability of type I error.
two.tail
logical; TRUE for two-tailed hypothesis testing, FALSE for one-tailed hypothesis testing.
rho2
proportion of variance in the outcome explained by level 2 units.
omega2
treatment effect heterogeneity as ratio of treatment effect variance among level 2 units to the residual variance at level 2.
P
average proportion of level 1 units randomly assigned to treatment within level 2 units.
g2
number of covariates at level 2.
R12
proportion of level 1 variance in the outcome explained by level 1 covariates.
RT22
proportion of treatment effect variance among level 2 units explained by level 2 covariates.
n
harmonic mean of level 1 units across level 2 units (or simple average).
J
level 2 sample size.
...
to handle extra parameters passed from other functions, do not define any additional parameters.

Value

Details

Power formula was derived within power analysis framework descibed by Hedges & Rhoads (2009). Further definition of design parameters can be found in Dong & Maynard (2013).

References

Dong & Maynard (2013). PowerUp!: A Tool for Calculating Minum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies,Journal of Research on Educational Effectiveness, 6(1), 24-6.

Hedges, L. & Rhoads, C.(2009). Statistical Power Analysis in Education Research (NCSER 2010-3006). Washington, DC: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education. This report is available on the IES website at http://ies.ed.gov/ncser/.

See Also

mdes.bira2r1, mrss.bira2r1, optimal.bira2r1

Examples

Run this code
## Not run: 
# 
#    power.bira2r1(rho2=.35, omega2=.10,
#                n=83, J=480)
# 
#   ## End(Not run)

Run the code above in your browser using DataLab