Intensive Longitudinal Analysis

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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 Introduction to Multilevel Model for Intraindividual Covariation
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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