ss.power.pcm | R Documentation |
Returns power given the sample size, or sample size given the desired power, for polynomial change models (currently only linear, that is, straight-line, change models)
ss.power.pcm(beta, tau, level.1.variance, frequency, duration, desired.power = NULL,
N = NULL, alpha.level = 0.05, standardized = TRUE, directional = FALSE)
beta |
the level two regression coefficient for the group by time (linear) interaction; where "X" is coded -.5 and .5 for the two groups. |
tau |
the true variance of the individuals' slopes |
level.1.variance |
level one variance |
frequency |
frequency of measurements per unit of time duration of the study in the particular units (e.g., age, hours, grade level, years, etc.) |
duration |
time in some number of units (e.g., years) |
desired.power |
desired power |
N |
total sample size (one-half in each of the two groups) |
alpha.level |
Type I error rate |
standardized |
the standardized slope is the unstandardized slope divided by the square root of tau, the variance of the unique effects for beta. |
directional |
should a one ( |
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
Raudenbush, S. W., & X-F., Liu. (2001). Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change. Psychological Methods, 6, 387–401.
# Example from Raudenbush and Liu (2001)
ss.power.pcm(beta=-.4, tau=.003, level.1.variance=.0262, frequency=2, duration=2,
desired.power=.80, alpha.level=.05, standardized=TRUE, directional=FALSE)
ss.power.pcm(beta=-.4, tau=.003, level.1.variance=.0262, frequency=2, duration=2,
N=238, alpha.level=.05, standardized=TRUE, directional=FALSE)
# The standardized effect size is obtained as beta/sqrt(tau): -.4/sqrt(.003) = -.0219.
# ss.power.pcm(beta=-.0219, tau=.003, level.1.variance=.0262, frequency=2, duration=2,
# desired.power=.80, alpha.level=.05, standardized=FALSE, directional=FALSE)
ss.power.pcm(beta=-.0219, tau=.003, level.1.variance=.0262, frequency=2, duration=2,
N=238, alpha.level=.05, standardized=FALSE, directional=FALSE)
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