RES/710 v5
Course Project Worksheet – Calculating
Sample Sizes Using G* Power
Using h,the h,G* h,power h,website, h,download h,the h,free h,software h,and h,conduct h,a h,G* h,power h,analysis
h,using h,the h,provided h,data.
There h,are h,4 h,types h,of h,power h,analysis h,(a h,priori, h,post-hoc, h,criterion, h,and h,sensitivity). h,For h,the
h,purposes h,of h,this h,class, h,we h,will h,focus h,on h,a h,priori h,power h,analysis h,since h,it h,is h,most h,commonly h,used
h,when h,designing h,a h,research h,study h,(Hunt, h,n.d.).
Using h,the h,following h,parameters, h,complete h,a h,G* h,power h,analysis:
Alpha= h,.05
Power= h,.80
Expected h,Effect h,Size h,= h,In h,Week h,2 h,Discussion h,2, h,we h,practiced h,using h,the h,“Which h,Stats h,Test” h,Sage h,Tool.
Refer h,to h,the h,statistical h,test h,determined h,using h,that h,tool h,and h,select h,the h,large h,effect h,size h,for h,the
h,appropriate h,test. h,(Note: h,if h,you h,aren’t h,sure h, which h,test h,to h,use, h,you h,can h,use h,the h,t-test h,family,
h,correlation). h,You h,will h,not h,lose h,points h,for h,choosing h,the h,incorrect h,test. h,The h,point h,here h,is h,to
h,determine h,a h,test, h,input h,the h,parameters h,into h,G*power, h,and h,explain h,the h,results.
Figure 1 – Effect Size Benchmarks
h, h, h, h, h,
Statistic Small Medium Large
Means h,– h,Cohen’s h,d 0.2 0.5 0.8
ANOVA h,– h,f 0.1 0.25 0.4
ANOVA h,– h,eta h,squared 0.01 0.06 0.14
Regression h,f-test 0.02 0.15 0.35
Correlation h,– h,r h,or h,point h,serial 0.1 0.3 0.5
Correlation h,– h,r h,squared 0.01 0.06 0.14
Association h,– h,2 h,x h,2 h,table h,– h,OR 1.5 3.5 9
Association h,– h,Chi-square h,– h,w h,or h,Phi 0.1 0.3 0.5
Source: h,Hunt. h,(n.d.). h,A h,researcher’s h,guide h,to h,power h,analysis. h,Utah h,State h,University.
h,Retrieved h,from h,https://research.usu.edu/irb/wp-
h,content/uploads/sites/12/2015/08/A_Researchers_Guide_to_Power_Analysis_USU.pdf
Course Project Worksheet – Calculating
Sample Sizes Using G* Power
Using h,the h,G* h,power h,website, h,download h,the h,free h,software h,and h,conduct h,a h,G* h,power h,analysis
h,using h,the h,provided h,data.
There h,are h,4 h,types h,of h,power h,analysis h,(a h,priori, h,post-hoc, h,criterion, h,and h,sensitivity). h,For h,the
h,purposes h,of h,this h,class, h,we h,will h,focus h,on h,a h,priori h,power h,analysis h,since h,it h,is h,most h,commonly h,used
h,when h,designing h,a h,research h,study h,(Hunt, h,n.d.).
Using h,the h,following h,parameters, h,complete h,a h,G* h,power h,analysis:
Alpha= h,.05
Power= h,.80
Expected h,Effect h,Size h,= h,In h,Week h,2 h,Discussion h,2, h,we h,practiced h,using h,the h,“Which h,Stats h,Test” h,Sage h,Tool.
Refer h,to h,the h,statistical h,test h,determined h,using h,that h,tool h,and h,select h,the h,large h,effect h,size h,for h,the
h,appropriate h,test. h,(Note: h,if h,you h,aren’t h,sure h, which h,test h,to h,use, h,you h,can h,use h,the h,t-test h,family,
h,correlation). h,You h,will h,not h,lose h,points h,for h,choosing h,the h,incorrect h,test. h,The h,point h,here h,is h,to
h,determine h,a h,test, h,input h,the h,parameters h,into h,G*power, h,and h,explain h,the h,results.
Figure 1 – Effect Size Benchmarks
h, h, h, h, h,
Statistic Small Medium Large
Means h,– h,Cohen’s h,d 0.2 0.5 0.8
ANOVA h,– h,f 0.1 0.25 0.4
ANOVA h,– h,eta h,squared 0.01 0.06 0.14
Regression h,f-test 0.02 0.15 0.35
Correlation h,– h,r h,or h,point h,serial 0.1 0.3 0.5
Correlation h,– h,r h,squared 0.01 0.06 0.14
Association h,– h,2 h,x h,2 h,table h,– h,OR 1.5 3.5 9
Association h,– h,Chi-square h,– h,w h,or h,Phi 0.1 0.3 0.5
Source: h,Hunt. h,(n.d.). h,A h,researcher’s h,guide h,to h,power h,analysis. h,Utah h,State h,University.
h,Retrieved h,from h,https://research.usu.edu/irb/wp-
h,content/uploads/sites/12/2015/08/A_Researchers_Guide_to_Power_Analysis_USU.pdf
