Data:
FILE = 
longitudinal_dyadic wide2.csv;

VARIABLE:
NAMES = id dyadid person idp lengthymean index
deps audits cudits sats trusts commits csts cons
micros isms psss vics sods 
ismp microp pssp vicp sodp satp trustp commitp
cstp conp depp auditp cuditp
depsl auditsl cuditsl 
satsl trustsl commitsl cstsl consl
satpl trustpl commitpl 
cstpl conpl deppl auditpl cuditpl
noncis pover29;

Missing = ALL(-999);

UseVariables are psss
micros isms vics sods deps audits cudits;

cluster= dyadid;

within are   ;
between =  ;

ANALYSIS:
ESTIMATOR = MLR;
Type = twolevel basic;

! See under "Estimated Intraclass Correlations for the Y Variables" subheading of results for ICCs

Plot:
Type = plot3;
OUTPUT: svalues residual STAND SAMPstat CINT Modindices(2) tech1 tech2 tech3;