Simple Cluster Random Assignment (CRA)

CRA2_2r

Assignment Clustering Level Treatment Assignment Treatment Level Cluster Effect
simple 2 cluster 2 random
[1]:
from pypowerup import effect_size, sample_size, power
[2]:
# effect size, i.e., minimum detectable effect sizes (MDES):
effect_size(design='cra2_2r', rho2=0.15, r21=0.40, r22=0.53, g=1, n=100, J=40,
           alpha=0.05, power=0.8, p=0.5)
[2]:
0.2502054873913746
[3]:
# sample_size, i.e., minimum required samples sizes (MRSS) for level 2 units.
sample_size(design='cra2_2r', es=0.2502054873913746, rho2=0.15, r21=0.40, r22=0.53,
            g=1, n=100, alpha=0.05, power=0.8, p=0.5)
[3]:
40.0
[4]:
# power
power(design='cra2_2r', es=0.2502054873913746, rho2=0.15, r21=0.40,
      r22=0.53, g=1, n=100, J=40, alpha=0.05, p=0.5)
[4]:
0.8000094900703394

Parameters for CRA2_2r

Parameters effect_size sample_size power
design
es  
n
J  
power  
alpha
two_tailed
p
r21
r22
rho2
g

CRA3_3r

Assignment Clustering Level Treatment Assignment Treatment Level Cluster Effect
simple 3 cluster 3 random
[5]:
# effect size, i.e., minimum detectable effect sizes (MDES):
effect_size(design='cra3_3r', rho3=0.38, rho2=0.10, r21=0.37, r22=0.53,
            r23=0.87, g=1, n=20, J=2, K=66, alpha=0.05, power=0.8, p=0.5)
[5]:
0.19949475029929953
[6]:
# sample_size, i.e., minimum required samples sizes (MRSS) for level 3 units.
sample_size(design='cra3_3r', es=0.19949475029929953, rho3=0.38,
            rho2=0.10, r21=0.37, r22=0.53, r23=0.87, g=1, n=20, J=2,
            alpha=0.05, power=0.8, p=0.5)
[6]:
66.0
[7]:
# power
power(design='cra3_3r', es=0.19949475029929953, rho3=0.38, rho2=0.10, r21=0.37,
      r22=0.53, r23=0.87, g=1, n=20, J=2, K=66, alpha=0.05, p=0.5)
[7]:
0.8000043161361032

Parameters for CRA3_3r

Parameters effect_size sample_size power
design
es  
n
J
K  
power  
alpha
two_tailed
p
r21
r22
rho2
r23
rho3
g

CRA4_4r

Assignment Clustering Level Treatment Assignment Treatment Level Cluster Effect
simple 4 cluster 4 random
[8]:
# effect size, i.e., minimum detectable effect sizes (MDES):
effect_size(design='cra4_4r', rho4=0.05, rho3=0.05, rho2=0.10, r21=0.50, r22=0.50,
            r23=0.50, r24=0.50, g=1, n=10, J=2, K=3, L=20,
            alpha=0.05, power=0.8, p=0.5)
[8]:
0.29231230598875796
[9]:
# sample_size, i.e., minimum required samples sizes (MRSS) for level 4 units.
sample_size(design='cra4_4r', es=0.29231230598875796, rho4=0.05, rho3=0.05, rho2=0.10, r21=0.50, r22=0.50,
            r23=0.50, r24=0.50, g=1, n=10, J=2, K=3, alpha=0.05, power=0.8, p=0.5)
[9]:
20.0
[10]:
# power
power(design='cra4_4r', es=0.29231230598875796, rho4=0.05, rho3=0.05, rho2=0.10, r21=0.50, r22=0.50,
            r23=0.50, r24=0.50, g=1, n=10, J=2, K=3, L=20, alpha=0.05, p=0.5)
[10]:
0.800046080238779

Parameters for CRA4_4r

Parameters effect_size sample_size power
design
es  
n
J
K
L  
power  
alpha
two_tailed
p
r21
r22
rho2
r23
rho3
r24
rho4
g