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Table 2 Latent Growth Curve Model Fit Statistics

From: Remote activity monitoring for family caregivers of persons living with dementia: a mixed methods, randomized controlled evaluation

Model AIC BIC Chi-Square RMSEA [CI] CFI SRMR
Role Overload
 Unconditional intercept-only 2986.286 3005.411 Χ2 = 28.110, df = 8, p < .001 .119 [.073, .168] .883 .143
 Unconditional linear 2981.816 3010.503 Χ2 = 17.639, df = 5, p = .003 .119 [.062, .181] .926 .095
 Unconditional quadratic 2978.536 3019.972 Χ2 = 6.359, df = 1, p = .012 .173 [.065, .311] .969 .039
 Conditional linear 2755.658 2879.652 Χ2 = 40.325, df = 38, p = .368 .019 [.000, .059] .987 .031
Role Captivity
 Unconditional intercept-only 2688.499 2707.624 Χ2 = 38.539, df = 8, p < .001 .146 [.102, .194] .850 .162
 Unconditional linear 2676.845 2705.532 Χ2 = 20.885, df = 5, p = .001 .133 [.077, .195] .922 .133
 Unconditional quadratic 2665.156 2706.592 Χ2 = 1.196, df = 1, p = .274 .033 [0, .204] .999 .015
 Conditional linear 2525.150 2522.508 Χ2 = 48.542, df = 38, p = .118 .041 [.000, .072] .945 .036
Depressive Symptoms
 Unconditional intercept-only 4779.114 4798.238 Χ2 = 43.931, df = 8, p < .001 .158 [.115, .206] .809 .113
 Unconditional linear 4758.014 4786.700 Χ2 = 16.831, df = 5, p = .005 .115 [.058, .178] .937 .082
 Unconditional quadratic 4760.003 4801.439 Χ2 = 10.820, df = 1, p = .001 .234 [.123, .369] .948 .060
 Conditional linear 4193.475 4317.470 Χ2 = 36.740, df = 38, p = .528 .000 [.000, .052] 1.00 .019
  1. Note. AIC Akaike Information Criterion, BIC Bayesian Information Criterion, RMSEA Root Mean Square Error of Approximation, CFI Comparative Fit Index, SRMR Standardized Root Mean Residual