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Table 2 Goodness of fit indices for multi-sample nested models in kidney cancer survivors in Alberta, Canada

From: Correlates of physical activity in a population-based sample of kidney cancer survivors: an application of the theory of planned behavior

Model n χ² df p a AGFI RMSEA CFI ΔCFI
Demographic variables         
  Gender         
  Male 406 238.32 86 0.001 0.89 0.07 0.97 -
  Female 245 184.23 86 0.010 0.87 0.07 0.97 -
  Model 1   422.54 172 <0.001 - 0.05 0.97 -
  Model 2   430.74 180 <0.001 - 0.05 0.97 <0.01
  Model 3   453.33 195 <0.001 - 0.05 0.97 <0.01
  Model 4   463.49 205 <0.001 - 0.04 0.97 <0.01
  Model 5   486.38 219 0.001 - 0.04 0.97 <0.01
 Age         
  <60 years 246 243.51 87 <0.001 0.84 0.09 0.95 -
  60-69 years 196 149.55 87 0.095 0.87 0.06 0.98 -
  ≥70 years 209 146.73 87 0.116 0.87 0.06 0.98 -
  Model 1   539.79 261 <0.001 - 0.04 0.97 -
  Model 2   567.94 277 <0.001 - 0.04 0.97 <0.01
  Model 3   616.18 307 <0.001 - 0.04 0.97 <0.01
  Model 4   665.14 323 <0.001 - 0.04 0.96 0.01
  Model 5   801.81 353 0.001 - 0.04 0.95 0.02
Medical variables         
 Body mass index         
  Healthy 161 125.66 87 0.196 0.86 0.05 0.99 -
  Overweight 281 190.35 87 0.004 0.88 0.07 0.97 -
  Obese 209 161.20 87 0.038 0.86 0.06 0.97 -
  Model 1   477.21 261 0.002 - 0.04 0.98 -
  Model 2   500.79 277 0.003 - 0.04 0.98 <0.01
  Model 3   571.39 307 0.001 - 0.04 0.97 0.01
  Model 4   593.54 323 0.001 - 0.04 0.97 0.01
  Model 5   693.75 353 0.014 - 0.04 0.96 0.02
 Number of comorbidities         
  <3 327 216.76 86 0.001 0.88 0.07 0.97 -
  ≥3 324 196.18 86 0.002 0.88 0.06 0.98 -
  Model 1   412.94 172 <0.001 - 0.05 0.97 -
  Model 2   423.41 180 <0.001 - 0.05 0.97 <0.01
  Model 3   449.88 195 <0.001 - 0.05 0.97 <0.01
  Model 4   464.45 205 <0.001 - 0.04 0.97 <0.01
  Model 5   522.58 219 0.002 - 0.05 0.97 <0.01
 Months since diagnosis         
  <60 324 213.04 86 0.003 0.88 0.07 0.97 -
  ≥60 327 180.98 86 0.007 0.90 0.06 0.98 -
  Model 1   394.02 172 <0.001 - 0.05 0.98 -
  Model 2   399.41 180 <0.001 - 0.04 0.98 <0.01
  Model 3   423.62 195 <0.001 - 0.04 0.98 <0.01
  Model 4   435.68 205 <0.001 - 0.04 0.98 <0.01
  Model 5   505.22 219 0.002 - 0.05 0.97 0.01
 Type of surgery         
  Partial nephrectomy 115 136.21 86 0.149 0.81 0.07 0.97 -
  Radical nephrectomy 520 234.71 86 <0.001 0.92 0.06 0.98 -
  Model 1   370.92 172 0.001 - 0.04 0.98 -
  Model 2   386.20 180 0.002 - 0.04 0.98 <0.01
  Model 3   401.98 195 0.002 - 0.04 0.98 <0.01
  Model 4   411.37 205 0.002 - 0.04 0.98 <0.01
  Model 5   431.09 219 0.028 - 0.04 0.98 <0.01
 Type of incision         
  Laparoscopic 194 197.71 86 0.005 0.83 0.08 0.96 -
  Open cut 441 173.14 86 0.012 0.93 0.05 0.99 -
  Model 1   370.84 172 <0.001 - 0.04 0.98 -
  Model 2   386.76 180 <0.001 - 0.04 0.98 <0.01
  Model 3   421.54 195 <0.001 - 0.04 0.97 0.01
  Model 4   429.54 205 <0.001 - 0.04 0.97 0.01
  Model 5   466.30 219 0.015 - 0.04 0.97 0.01
 Disease stage         
  Localized 542 242.62 86 0.004 0.91 0.06 0.98 -
  Metastatic 109 130.53 86 0.098 0.80 0.07 0.98 -
  Model 1   373.15 172 <0.001 - 0.04 0.98 -
  Model 2   383.43 180 <0.001 - 0.04 0.98 <.01
  Model 3   415.43 195 0.001 - 0.04 0.98 <0.01
  Model 4   442.56 205 <0.001 - 0.04 0.97 0.01
  Model 5   505.53 219 0.001 - 0.05 0.97 0.01
  1. Note. Model 1-unrestricted model: noninvariant, unconstrained model; Model 2 measurement equivalent model- equal factor loadings; Model 3-model 2 constraints plus equal factor variance and covariances; Model 4-model 3 constraints plus equal paths; Model 5-model 4 constraints plus equal factor residuals (“fully constrainted”).
  2. ΔCFI = Change in comparative fit index. A value of ΔCFI ≤ .01 indicates that the null hypothesis of invariance should not be rejected.
  3. aBollen Stine p-value reported due to multivariate non-normality.
  4. KCS that indicated “don’t know” to type of surgery and incision were excluded from the analysis.