Table 5.

Regressions with PLS and unit weighted composites using the corporate reputation data set

Original dataData with artificially
generated cross-loading
PLS Mode AUnit weightsPLS Mode AUnit weights
Regression estimates    
Comp → Cusa0.1520.1220.0580.045
Comp → Cusl0.0160.011–0.095–0.074
Like → Cusa0.4330.4520.5780.570
Like → Cusl0.3310.3330.5990.535
Cusa → Cusl0.5090.5110.3640.401
Weights    
comp10.5390.4010.5390.401
comp20.3430.4010.3430.401
comp30.3230.4010.3230.401
like10.4190.3860.3480.382
like20.3780.3860.4890.382
like30.3600.3860.3000.382
cusa1.0001.0001.0001.000
cusl10.3680.3850.3730.385
cusl20.4180.3850.4160.385
cusl30.3660.3850.3630.385

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