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Table 5 Standardized loadings and fit indices of the unidimensional confirmatory factor analytic models

From: Development and validation of behavioral intention measures of an E-vapor product: intention to try, use, dual use, and switch

   Item Loading Chi-Square CFI GFI RMSEA
Statistic p
ITTa Full cross-validation sample Try1 .940 11.724 .001 .998 .995 .086
Try2 .966      
Try3 .940      
ASPQ Try1 .926 .056 .813 1.000 1.000 .000
Try2 .962      
Try3 .917      
ASNPQ Try1 .874 5.015 .025 .995 .990 .113
Try2 .944      
Try3 .875      
EV Users Try1 .853 1.841 .175 .998 .996 .055
Try2 .912      
Try3 .831      
Former Users Try1 .902 .081 .775 1.000 1.000 .000
Try2 .959      
Try3 .971      
Never Users Try1 .860 .084 .772 1.000 1.000 .000
Try2 .969      
Try3 .973      
ITUb Full cross-validation sample Use1 .927 21.910 .000 .998 .993 .120
Use2 .996      
Use3 .945      
Use4 .915      
ASPQ Use1 .862 .538 .463 1.000 .999 .000
Use2 .933      
Use3 .946      
Use4 .968      
ASNPQ Use1 .845 1.485 .223 1.000 .998 .039
Use2 .998      
Use3 .888      
Use4 .792      
EV Users Use1 .817 8.856 .003 .994 .985 .167
Use2 .935      
Use3 .969      
Use4 .907      
Former Users Use1 .912 .055 .815 1.000 1.000 .000
Use2 .984      
Use3 .990      
Use4 .983      
Never Users Use1 .929 12.863 .000 .995 .981 .191
Use2 .989      
Use3 .971      
Use4 .956      
ITSa Full cross-validation sample Switch1 .958 .006 .938 1.000 1.000 .000
Switch2 .963      
Switch3 .961      
ASPQ Switch1 .957 .784 .376 1.000 .998 .000
Switch2 .975      
Switch3 .973      
ASNPQ Switch1 .953 .332 .564 1.000 .999 .000
Switch2 .954      
Switch3 .934      
EV Users Switch1 .942 .076 .783 1.000 1.000 .000
Switch2 .945      
Switch3 .960      
  1. Standardized loadings and fit indices of the unidimensional confirmatory factor analytic models for the multi-item Intention scales among participants in the cross-validation sample
  2. ASPQ, Adult Smokers Planning to Quit; ASNPQ, Adult Smokers Not Planning to Quit; EV, e-vapor; CFI, comparative fix index; GFI, goodness of fit index; RMSEA, root mean square error of approximation
  3. aTo achieve over-identification, two error variances similar in magnitude were constrained to be equal
  4. bDue to shared item content and to improve model fit, the error covariance between items was freely estimated