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 | ✓ | ✓ | ✓ |