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Chapter 9: Multilevel Modeling with Complex Survey Data

Download all Chapter 9 examples

Example View output Download input Download data View Monte Carlo output Download Monte Carlo input
9.1: Two-level regression analysis for a continuous dependent variable with a random intercept (part a) ex9.1a ex9.1a.inp ex9.1a.dat mcex9.1a mcex9.1a.inp
9.1: Two-level regression analysis for a continuous dependent variable with a random intercept (part b) ex9.1b ex9.1b.inp ex9.1b.dat mcex9.1b mcex9.1b.inp
9.2: Two-level regression analysis for a continuous dependent variable with a random slope (part a) ex9.2a ex9.2a.inp ex9.2a.dat mcex9.2a mcex9.2a.inp
9.2: Two-level regression analysis for a continuous dependent variable with a random slope (part b) ex9.2b ex9.2b.inp ex9.2a.dat N/A N/A
9.2: Two-level regression analysis for a continuous dependent variable with a random slope (part c) ex9.2c ex9.2c.inp ex9.2c.dat mcex9.2c mcex9.2c.inp
9.3: Two-level path analysis with a continuous and a categorical dependent variable ex9.3 ex9.3.inp ex9.3.dat mcex9.3 mcex9.3.inp
9.4: Two-level path analysis with a continuous, a categorical, and a cluster-level observed dependent variable ex9.4 ex9.4.inp ex9.4.dat mcex9.4 mcex9.4.inp
9.5: Two-level path analysis with continuous dependent variables and random slopes ex9.5 ex9.5.inp ex9.5.dat mcex9.5 mcex9.5.inp
9.6: Two-level CFA with continuous factor indicators and covariates ex9.6 ex9.6.inp ex9.6.dat mcex9.6 mcex9.6.inp
9.7: Two-level CFA with categorical factor indicators and covariates ex9.7 ex9.7.inp ex9.7.dat mcex9.7 mcex9.7.inp
9.8: Two-level CFA with continuous factor indicators, covariates, and random slopes ex9.8 ex9.8.inp ex9.8.dat mcex9.8 mcex9.8.inp
9.9: Two-level SEM with categorical factor indicators on the within level and cluster-level continuous observed and random intercept factor indicators on the between level ex9.9 ex9.9.inp ex9.9.dat mcex9.9 mcex9.9.inp
9.10: Two-level SEM with continuous factor indicators and a random slope for a factor ex9.10 ex9.10.inp ex9.10.dat mcex9.10 mcex9.10.inp
9.11: Two-level multiple group CFA with continuous factor indicators ex9.11 ex9.11.inp ex9.11.dat mcex9.11 mcex9.11.inp
9.12: Two-level growth model for a continuous outcome (three-level analysis) ex9.12 ex9.12.inp ex9.12.dat mcex9.12 mcex9.12.inp
9.13: Two-level growth model for a categorical outcome (three-level analysis) ex9.13 ex9.13.inp ex9.13.dat mcex9.13 mcex9.13.inp
9.14: Two-level growth model for a continuous outcome (three-level analysis) with variation on both the within and between levels for a random slope of a time-varying covariate ex9.14 ex9.14.inp ex9.14.dat mcex9.14 mcex9.14.inp
9.15: Two-level multiple indicator growth model with categorical outcomes (three-level analysis) ex9.15 ex9.15.inp ex9.15.dat mcex9.15 mcex9.15.inp
9.16: Linear growth model for a continuous outcome with time-invariant and time-varying covariates carried out as a two-level growth model using the DATA WIDETOLONG command ex9.16 ex9.16.inp ex9.16.dat N/A N/A
9.17: Two-level growth model for a count outcome using a zero-inflated Poisson model (three-level analysis) ex9.17 ex9.17.inp ex9.17.dat mcex9.17 mcex9.17.inp
9.18: Two-level continuous-time survival analysis using Cox regression with a random intercept ex9.18 ex9.18.inp ex9.18.dat mcex9.18 mcex9.18.inp
9.19: Two-level mimic model with continuous factor indicators, random factor loadings, two covariates on within, and one covariate on between with equal loadings across levels (part 1) ex9.19part1 ex9.19part1.inp ex9.19.dat mcex9.19 mcex9.19.inp
9.19: Two-level mimic model with continuous factor indicators, random factor loadings, two covariates on within, and one covariate on between with equal loadings across levels (part 2) ex9.19part2 ex9.19part2.inp ex9.19.dat N/A N/A
9.19: Two-level mimic model with continuous factor indicators, random factor loadings, two covariates on within, and one covariate on between with equal loadings across levels (part 3) ex9.19part3 ex9.19part3.inp ex9.19.dat N/A N/A
9.20: Three-level regression for a continuous dependent variable ex9.20 ex9.20.inp ex9.20.dat mcex9.20 mcex9.20.inp
9.21: Three-level path analysis with a continuous and a categorical dependent variable ex9.21 ex9.21.inp ex9.21.dat mcex9.21 mcex9.21.inp
9.22: Three-level MIMIC model with continuous factor indicators, two covariates on within, one covariate on between level 2, one covariate on between level 3 with random slopes on both within and between level 2 ex9.22 ex9.22.inp ex9.22.dat mcex9.22 mcex9.22.inp
9.23: Three-level growth model with a continuous outcome and one covariate on each of the three levels ex9.23 ex9.23.inp ex9.23.dat mcex9.23 mcex9.23.inp
9.24:Regression for a continuous dependent variable using cross-classified data ex9.24 ex9.24.inp ex9.24.dat mcex9.24 mcex9.24.inp
9.25: Path analysis with continuous dependent variables using cross-classified data ex9.25 ex9.25.inp ex9.25.dat mcex9.25 mcex9.25.inp
9.26: IRT with random binary items using cross-classified data ex9.26 ex9.26.inp ex9.26.dat mcex9.26 mcex9.26.inp
9.27: Multiple indicator growth model with random intercepts and factor loadings using cross-classified data ex9.27 ex9.27.inp ex9.27.dat mcex9.27 mcex9.27.inp

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