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SEM Analysis SAS Calis. 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 . .
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options formdlim='-' nodatepagno=min; data ski(type=cov); INPUT _TYPE_ $ _NAME_ $ NumYrsDaySkiSnowSatFoodSatSenSeek; CARDS; N . 100 100 100 100 100 covNumYrs 2.74 . . . . covDaySki 0.80 3.25 . . . covSnowSat 0.68 0.28 1.23 . . covFoodSat 0.65 0.35 0.72 1.87 . covSenSeek 2.02 2.12 2.10 2.12 27.00
proccaliscovomethod=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;
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 output