/TITLE
Data are collected by Deng, with robust transformation;
The model is as in Figure 8 or Yuan and Deng (2021)
/SPECIFICATIONS
DATA='d:\papers\2021\pls-sem\CB_SEM&PLS_SEM\webfile\healthstress_rob.dat';
VARIABLES=24; CASES=264; 
METHOD=ML; ANALYSIS=COVARIANCE; MATRIX=RAW; 
/LABELS

/EQUATIONS
!Emotion V1-V5;
V1 =   *F1 + E1; 
V2 =   *F1 + E2; 
V3 =   *F1 + E3; 
V4 =   *F1 + E4; 
V5 =   *F1 + E5; 
!Cynicism V6-V9;
V6 =   *F2 + E6; 
V7 =   *F2 + E7; 
V8 =   *F2 + E8; 
V9 =   *F2 + E9; 
!Professional efficacy V10-V15;
V10 =   *F3 + E10; 
V11 =   *F3 + E11; 
V12 =   *F3 + E12; 
V13 =   *F3 + E13; 
V14 =   *F3 + E14; 
V15 =   *F3 + E15; 
!health V16-V24;
V16 =   1F4 + E16; 
V17 =   *F4 + E17; 
V18 =   *F4 + E18; 
V19 =   *F4 + E19; 
V20 =   *F4 + E20; 
V21 =   *F4 + E21; 
V22 =   *F4 + E22; 
V23 =   *F4 + E23; 
V24 =   *F4 + E24; 

F4 =   *F1 + *F2 + *F3 + D4; 
/VARIANCES
 F1 = 1;
 F2 = 1;
 F3 = 1;
 D4 = *; 
 E1 = *; 
 E2 = *; 
 E3 = *; 
 E4 = *; 
 E5 = *; 
 E6 = *; 
 E7 = *; 
 E8 = *; 
 E9 = *; 
 E10 = *; 
 E11 = *; 
 E12 = *; 
 E13 = *; 
 E14 = *; 
 E15 = *; 
 E16 = *; 
 E17 = *; 
 E18 = *; 
 E19 = *; 
 E20 = *; 
 E21 = *; 
 E22 = *; 
 E23 = *; 
 E24 = *; 
/COVARIANCES
F1,F2 = *; 
F1,F3 = *; 
F2,F3 = *;
/Technical
conv=.0000001;
/PRINT
FIT=ALL;
/END