1. SEM Analysis SAS Calis

2. options formdlim='-' nodate pagno=min; data ski(type=cov); INPUT _TYPE_ $ _NAME_ $ NumYrs DaySki SnowSat FoodSat SenSeek; CARDS; N. 100 100 100 100 100 cov NumYrs 2.74.... cov DaySki 0.80 3.25... cov SnowSat 0.68 0.28 1.23.. cov FoodSat 0.65 0.35 0.72 1.87. cov SenSeek 2.02 2.12 2.10 2.12 27.00

3. proc calis cov omethod=nr pAll; LINEQS NumYrs = b1 F1 + E1, DaySki = b2 F1 + E2, SnowSat = 1 F2 + E3, FoodSat = b4 F2 + E4, F2 = b5 F1 + b6 SenSeek + D2;

4. STD E1-E4 = v1-v4, (estimate variances for measured DVs) SenSeek=v5, (and for measured IV) D2=v6, (estimate SkiSat disturbance) F1=1; (fix LoveSki variance to 1) run; See the Annotated outputAnnotated output