PNFI

AcronymDefinition
PNFIParsimony Normed Fit Index (statistical analysis tool)
PNFIPetawawa National Forestry Institute (Canada)
PNFIPrivate Native Forest Inventory (Australia)
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Indices (2006) (2017) (2014a) (2017) 4 Factors 4 Factors 4 Factors 2 Factors GFI .975 .983 .972 .981 AGFI .970 .979 .966 .976 SRMR .063 .044 .068 .046 NFI .916 .948 .923 .940 PGFI .800 .779 .797 .798 PNFI .816 .826 .823 .842 Fit Echeburua et al.
Meanwhile, the PNFI was used to determine if the initial model was parsimonious.
CFA results indicated that the scale fit was satisfactory at each wave: [chi square] = 110.985, [chi square]/df= 2.312, RMSEA = .065, relative fit index (RFI) = .86, NFI = .93, IFI = .93, TLI = .93, CFI = .93, PNFI = .65, PCFI = .68.
[chi square] = 49.19, [chi square]/df = 2.73, RMSEA = .07, SRMR = .02, PNFI = .630, GFI = .961, IFI = .987, NFI = .979, CFI = .987 and TLI = .979; [alpha] = .94, M = 3.44 and SD = 1.03.
Indicators of fit were satisfactory (RMR = 0.012; GFI = 0.96; AGFI = 0.95; NFI = 0.94; RFI = 0.92; PGFI = 0.73; PNFI = 0.79) and the third item of the Mobile Phone scale would just slight improve the model's fit (RMR = 0.011; GFI = 0.97; AGFI = 0.96; NFI = 0.94; the others remain unchanged).
Los resultados del analisis factorial confirmatorio mostraron la validez del constructo: [ji al cuadrado]/g.l.:2.03, CMIN/DF: 2.01, NFI: .91, TLI: .94, CFI: .91, GFI: .91, PNFI: .74, RMSEA: .06, SRMR: .04, AIC: 760.63 (Figura 2).
[chi RMSEA CFI square]/df Null model 23.081 Single model 4.877 0.103 0.717 Two factor model 4.131 0.093 0.753 Three factor model 3.879 0.089 0.807 Four factor model 2.281 0.059 0.901 GFI NNFI PNFI Null model Single model 0.852 0.673 0.579 Two factor model 0.873 0.712 0.602 Three factor model 0.881 0.771 0.633 Four factor model 0.929 0.881 0.685 Table 8: [alpha] coefficients of factors.
Se calcularon los indicadores de ajuste del modelo: razon de chi-cuadrado sobre los grados de libertad ([chi square]/g.l.), nivel de probabilidad asociado (CMIN/DF), indice de ajuste moderado (NFI), indice de Tucker-Lewis (TLI), indice de ajuste comparativo (CFI), indice de bondad de ajuste (GFI), indice de ajuste parsimonioso normado (PNFI), error cuadratico medio de aproximacion (RMSEA), raiz media cuadratica residual (RMCR), y criterio de informacion Akaike (AIC).
PNFI (Parsimony-adjusted Normed Fit Index) 0=poor fit, close to 1= good PCFI (Parsimony-adjusted Comparative Fit Index) 0=poor fit, close to 1= good Interpretation
Parsimonious fit Parsimony Normal Fit Index(PNFI) 0.735 measures Parsimony Comparative Fit 0.749 Index(PCFI) Model lit Measure Fit indices standard 1.
PNFI (Parsimonious###[greater than or equal to] 0.5###.713