Page Comparison

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• Description of nonlinear multilevel models available

• 2-level nonlinear multilevel model (complete example)

• Logistic curves for the weight gain of cows (complete example)

• Logistic curve for simulated data (complete example)

• Exponential curve for simulated data (complete example)

• Gompertz curve for simulated data (complete example)

• Monomolecular model for simulated data (complete example)

• Nonlinear growth curve for the height of males (complete example)

• Nonlinear growth curve for height of females (complete example)

• Nonlinear growth curves for Japanese girls (complete example)

• Growth curve for weight of chicks (complete example)

• A growth curve for the weighs of male mice (complete example)

• Nonlinear curves for the weights of male and female mice (complete example)

• Monomolecular curve for the Vonesh data (complete example)

• Monomolecular curve for nitrogen washout data (complete example)

• Exponential logistic curve (complete example)

• Double power curve (complete example)

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• Binary case: a 2-level model (complete example)

• Binary model with logit link function (complete example)

• Binary models with probit link function (complete example)

• Bernoulli models for NESARC data (complete example)

• Bernoulli distribution with complementary log-log link function (complete example)

• Multilevel models for categorical and count data (complete example)

• Models for count outcomes from the NESARC data (complete example)

• Models for count outcomes using ASPART data (complete example)

• Negative binomial model for the NESARC data (complete example)

• The data for an ordinal approach (complete example)

• Models for ordinal outcomes using NIMH data (complete example)

• An ordinal regression model with random intercept (complete example)

• Poisson log model with an offset variable (complete example)

• Poisson model for the Thailand data (complete example)

• Poisson model and scale parameter estimation for NIH data (complete example)

• Three-level Poisson models for simulated data (complete example)

• Negative binomial model for the NIH data (complete example)

• Models for nominal outcomes using NHIS data (complete example)

• Models for proportional and non-proportional odds (complete example)

• Two-level survival analysis models (complete example)

• Weighted 2-level models (complete example)

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• Binomial logit and probit models: death penalty data (complete example)

• Log-linear model: melanoma data (complete example)

• Nominal logistic regression: program choices (complete example)

• Ordinal logistic model: car data (complete example)

• Ordinal logistic model: mental health data (complete example)

• Poisson model: heart disease data (complete example)

• Poisson model with categorical covariate (complete example)

Examples from Chapter 4:

• Multilevel and conditional regression comparison (complete example)

• Multilevel analysis of repeated measures (complete example)

• Multilevel analysis with cross-level interaction (complete example)

• Multivariate analysis of the Netherlands data (complete example)

• Multilevel Generalized Linear Model for social mobility (complete example)

Examples from Chapter 5:

• Principal component analysis of stock market data (complete example)

• Principal component analysis of nine psychological variables (complete example)

• Principal component analysis of meteorological data (complete data)

Examples from Chapter 6:

• Exploratory factor analysis of ordinal LSAT data (complete data)

• Exploratory factor analysis of polytomous data (complete data)

• Exploratory factor analysis: hypothetical population (complete data)

Examples from Chapter 7:

• Confirmatory factor analysis of ordinal data with missing values (complete example)

• Confirmatory factor analysis of ordinal data without missing values (complete example)

• Confirmatory factor analysis of ordinal data without missing values (complete example)

• Confirmatory factor analysis of reader reliability (complete example)

Examples from Chapter 8:

• SEM for the role behavior of farm managers (complete example)

• Second-order factor analysis of 9 psychological variables (complete example)

Examples from Chapter 9:

• Latent growth curve for dyadic data (complete example)

• Learning curves of air traffic controllers (complete example)

• Panel model for political efficacy data (complete example)

Examples from Chapter 10:

• Confirmatory factor analysis for multiple groups using school data (complete example)

• Confirmatory factor analysis for ordinal data from 8 6 countries (complete example)

• Twin data models: heredity of BMI (complete example)