Intensive Longitudinal Analysis

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  3. Intensive Longitudinal Analysis
SessionTitleContributorTutorial
Data AMIB: A Multiple Time-scale Experience Sampling Study
A Introduction to intensive longitudinal data Kevin
B Data Management and Data Viz in R Katherine Data Management and Data Viz in R
D Intraindividual Variation – Dynamic Characteristics Nilam
E Computing Intraindividual Variability Metrics in R Xiao Computing Intraindividual Variability Metrics in R
G Intraindividual Covariation and the Multilevel Model Nilam
H Specifying multilevel models in R Nilam Specifying multilevel models in R
J Modeling categorical and count outcomes Kevin
K Specifying generalized linear models in R Katherine Modeling Count Outcomes using the Generalized Multilevel Model
M Variance Heterogeneity and the Multilevel Model Nilam Variance Heterogeneity and the Multilevel Model
N Specifying Variance Heterogeneity models in R Nilam Multilevel Model with Heterogeneous Variance (Location-Scale models)
P Multivariate (& Dyadic) Multilevel Models Nilam
Q1 Specifying longitudinal APIM in R Nilam Multivariate Multilevel Model for Longitudinal Coupling (APIM type)
Q2 Dyadic Multilevel Modeling for Intensive Longitudinal Data
S Within-person Mediation Models Nilam
T Specifying 1-1-1 mediation models in R Katherine Specifying 1-1-1 mediation models in R
V Machine Learning with Experience Sampling Data: CART Kevin
W Specifying multilevel recursive partitioning models in R Xiao APA-ATI Intensive Longitudinal Data: ESM Data Mining using GLMER Trees
Y Multivariate Dynamics and Networks Nilam
Z Specifying network and VAR models in R Xiao Specifying network and VAR models in R
Za Regularization with Experience Sampling Data: The Lasso Kevin
Zb Super-Intensive Longitudinal Data Nilam
Extra Introduction to Multilevel Modeling Nilam
Extra Introduction to Structural Equation Modeling Kevin

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