Hi FS experts and users,
I am trying to implement independent sample t-test and correlation analysis.
Here is my fsgdf design:
-----------------------------
  GroupDescriptorFile 1
  Title lh_ttest
  Class CON_IA
  Class PAT_IA
  Variables score1  score2
 Input CON_IA01 CON_IA  0 0
 Input CON_IA03 CON_IA  0 0
 Input CON_IA05 CON_IA  0 0
 Input CON_IA06 CON_IA  0 0
 Input CON_IA07 CON_IA  3 7
 Input CON_IA09 CON_IA  0 0
 Input CON_IA14 CON_IA  0 0
 Input CON_IA15 CON_IA  0 0
 Input CON_IA16 CON_IA  7 12
 Input CON_IA19 CON_IA  6 15
 Input CON_IA24 CON_IA  6 11
 Input CON_IA27 CON_IA  3 3
 Input CON_IA32 CON_IA  7 21
 Input CON_IA33 CON_IA  7 21
 Input CON_IA35 CON_IA  0 0
 Input CON_IA38 CON_IA  7 15
 Input CON_IA39 CON_IA  2 3
 Input CON_IA40 CON_IA  6 8
 Input CON_IA41 CON_IA  2 4
 Input PAT_IA01 PAT_IA  8 13
 Input PAT_IA02 PAT_IA  9 38
 Input PAT_IA03 PAT_IA  9 33
 Input PAT_IA04 PAT_IA  9 27
 Input PAT_IA06 PAT_IA  9 26
 Input PAT_IA08 PAT_IA  8 16
 Input PAT_IA09 PAT_IA  9 33
 Input PAT_IA16 PAT_IA  9 35
 Input PAT_IA18 PAT_IA  9 39
 Input PAT_IA21 PAT_IA  9 32
 Input PAT_IA22 PAT_IA  9 31
 Input PAT_IA23 PAT_IA  9 35
 Input PAT_IA24 PAT_IA  9 40
 Input PAT_IA25 PAT_IA  9 29
 Input PAT_IA27 PAT_IA  9 30
 Input PAT_IA29 PAT_IA  9 30
 Input PAT_IA30 PAT_IA  8 32
 Input PAT_IA33 PAT_IA  9 13
 Input PAT_IA34 PAT_IA  9 21
------------------------------------------------
Contrasts for independent sample t-test:
1,CON_IA>PAT_IA:1 -1 0 0 0 0
2,PAT_IA>CON_IA:-1 1 0 0 0 0
Contrasts for correlation analysis:
1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0
2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0
3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5
4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5
Are my designs appropriate?
If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast?
Thanks.
All the best.
Rujing Zha
 
2014-02-20

charujing123