October 10, 2024
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Chapter 6: Growth Modeling and Survival Analysis
Download all Chapter 6 examples
| Example | View output | Download input | Download data | View Monte Carlo output | Download Monte Carlo input |
|---|---|---|---|---|---|
| 6.1: Linear growth model for a continuous outcome | ex6.1 | ex6.1.inp | ex6.1.dat | mcex6.1 | mcex6.1.inp |
| 6.2: Linear growth model for a censored outcome using a censored model | ex6.2 | ex6.2.inp | ex6.2.dat | mcex6.2 | mcex6.2.inp |
| 6.3: Linear growth model for a censored outcome using a censored-inflated model | ex6.3 | ex6.3.inp | ex6.3.dat | mcex6.3 | mcex6.3.inp |
| 6.4: Linear growth model for a categorical outcome | ex6.4 | ex6.4.inp | ex6.4.dat | mcex6.4 | mcex6.4.inp |
| 6.5: Linear growth model for a categorical outcome using the Theta parameterization | ex6.5 | ex6.5.inp | ex6.5.dat | mcex6.5 | mcex6.5.inp |
| 6.6: Linear growth model for a count outcome using a Poisson model | ex6.6 | ex6.6.inp | ex6.6.dat | mcex6.6 | mcex6.6.inp |
| 6.7: Linear growth model for a count outcome using a zero-inflated Poisson model | ex6.7 | ex6.7.inp | ex6.7.dat | mcex6.7 | mcex6.7.inp |
| 6.8: Growth model for a continuous outcome with estimated time scores | ex6.8 | ex6.8.inp | ex6.8.dat | mcex6.8 | mcex6.8.inp |
| 6.9: Quadratic growth model for a continuous outcome | ex6.9 | ex6.9.inp | ex6.9.dat | mcex6.9 | mcex6.9.inp |
| 6.10: Linear growth model for a continuous outcome with time-invariant and time-varying covariates | ex6.10 | ex6.10.inp | ex6.10.dat | mcex6.10 | mcex6.10.inp |
| 6.11: Piecewise growth model for a continuous outcome | ex6.11 | ex6.11.inp | ex6.11.dat | mcex6.11 | mcex6.11.inp |
| 6.12: Growth model with individually-varying times of observation and a random slope for time-varying covariates for a continuous outcome | ex6.12 | ex6.12.inp | ex6.12.dat | mcex6.12 | mcex6.12.inp |
| 6.13: Growth model for two parallel processes for continuous outcomes with regressions among the random effects | ex6.13 | ex6.13.inp | ex6.13.dat | mcex6.13 | mcex6.13.inp |
| 6.14: Multiple indicator linear growth model for continuous outcomes | ex6.14 | ex6.14.inp | ex6.14.dat | mcex6.14 | mcex6.14.inp |
| 6.15: Multiple indicator linear growth model for categorical outcomes | ex6.15 | ex6.15.inp | ex6.15.dat | mcex6.15 | mcex6.15.inp |
| 6.16: Two-part (semicontinuous) growth model for a continuous outcome | ex6.16 | ex6.16.inp | ex6.16.dat | mcex6.16 | mcex6.16.inp |
| 6.17: Linear growth model for a continuous outcome with first-order auto correlated residuals using non-linear constraints | ex6.17 | ex6.17.inp | ex6.17.dat | mcex6.17 | mcex6.17.inp |
| 6.18: Multiple group multiple cohort growth model | ex6.18 | ex6.18.inp | ex6.18.dat | mcex6.18 | mcex6.18.inp |
| 6.19: Discrete-time survival analysis | ex6.19 | ex6.19.inp | ex6.19.dat | mcex6.19 | mcex6.19.inp |
| 6.20: Continuous-time survival analysis using the Cox regression model | ex6.20 | ex6.20.inp | ex6.20.dat | mcex6.20 | mcex6.20.inp |
| 6.21: Continuous-time survival analysis using a parametric proportional hazards model | ex6.21 | ex6.21.inp | ex6.21.dat | mcex6.21 | mcex6.21.inp |
| 6.22: Continuous-time survival analysis using a parametric proportional hazards model with a factor influencing survival | ex6.22 | ex6.22.inp | ex6.22.dat | mcex6.22 | mcex6.22.inp |
| 6.23: N=1 time series analysis with a univariate first-order autoregressive AR(1) model | ex6.23 | ex6.23.inp | ex6.23.dat | mcex6.23 | mcex6.23.inp |
| 6.23: N=1 time series analysis with a univariate second-order autoregressive AR(2) model (part b) | ex6.23b | ex6.23b.inp | ex6.23.dat | none | none |
| 6.24: N=1 time series analysis with a univariate first-order autoregressive AR(1) model with a covariate | ex6.24 | ex6.24.inp | ex6.24.dat | mcex6.24 | mcex6.24.inp |
| 6.25: N=1 time series analysis with a bivariate cross-lagged model | ex6.25 | ex6.25.inp | ex6.25.dat | mcex6.25 | mcex6.25.inp |
| 6.26: N=1 time series analysis with a first-order autoregressive AR(1) confirmatory factor analysis (CFA) model (DAFS) | ex6.26 | ex6.26.inp | ex6.26.dat | mcex6.26 | mcex6.26.inp |
| 6.26: N=1 time series analysis with a first-order autoregressive AR(1) confirmatory factor analysis (CFA) model (WNFS; part b) | ex6.26b | ex6.26b.inp | ex6.26.dat | none | none |
| 6.27: N=1 time series analysis with a first-order autoregressive AR(1) IRT model with binary factor indicators | ex6.27 | ex6.27.inp | ex6.27.dat | mcex6.27 | mcex6.27.inp |
| 6.28: N=1 time series analysis with a bivariate cross-lagged model with two factors | ex6.28 | ex6.28.inp | ex6.28.dat | mcex6.28 | mcex6.28.inp |