Tutorials

Listing of tutorials (grouped by resource) along with their contributors and a link to the individual tutorial's page.
Related Resources Tutorial Name Contributors Link
Multivariate Analysis in Developmental Science Actor Partner Interdependence Model (APIM): A Basic Dyadic/Bivariate Analysis Miriam Brinberg Read More
Cluster Analysis: An Example Nilam Ram Read More
Growth Modeling Basics Nilam Ram Read More
Growth Trajectory Generator Nilam Ram Read More
Intro Data Reshape Plots (WISC) Nilam Ram Read More
Probing Interactions in Multilevel Models of Change: A Start Nilam Ram Read More
Regression with Continuous, Count, and Binary Outcomes Nilam Ram Read More
RM ANOVA to RM MANOVA to Growth Curves: Connections within a Multilevel Framework: Part 2 Nilam Ram Read More
Survival Analysis: An Example Miriam Brinberg Read More
Jessica Lougheed
The Cortisol Data - Growth Modeling: Simple to Complex Nilam Ram Read More
Two-Occasion Change Nilam Ram Read More
Intensive Longitudinal Data: Analysis of Experience Sampling and EMA Data Analysis of Experience Sampling & EMA Data - Chapter 1: Introduction, Data Files, Descriptives & Plots Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 2.1: Univariate Intraindividual Variability Metrics (Part 1) Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 2.2: Univariate Intraindividual Variability Metrics (Part 2) Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 3.1: Bivariate Intraindividual Covariation (Part 1) Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 3.2: Bivariate Intraindividual Covariation (Part 2) Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 4: Generalized MLM for Bivariate Intraindividual Covariation Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 5 (Part1): Dyadic MLM for Intradyad Dynamics Nilam Ram Read More
Miriam Brinberg
Analysis of Experience Sampling & EMA Data - Chapter 5 (Part2): Multivariate MLM for Intraindividual Coupling Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 6: Multilevel Model with Heterogeneous Variance Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 7: Within-Person (1-1-1) Mediation Nilam Ram Read More
Analysis of Experience Sampling & EMA Data - Chapter 8: P-technique Factor Analysis for Multivariate Intraindividual Variability Nilam Ram Read More
Psychometrics of Intensive Longitudinal Measures of Emotional States Allison L. Gray Read More
The AMIB Data - A Multiple Time-Scale Experience Sampling Study Nilam Ram Read More
APA-ATI Analysis of Intensive Longitudinal Data: Experience Sampling and Ecological Momentary Assessment APA-ATI Intensive Longitudinal Data: Session C - Data, Descriptives & Data Viz Xiao Yang Read More
APA-ATI Intensive Longitudinal Data: Session E - Intraindividual Variability Metrics Lizbeth Benson Read More
APA-ATI Intensive Longitudinal Data: Session H - Basic Multilevel Model Lizbeth Benson Read More
APA-ATI Intensive Longitudinal Data: Session J - Generalized Multilevel Model (Poisson) Xiao Yang Read More
APA-ATI Intensive Longitudinal Data: Session M - Dyadic Multilevel Model Miriam Brinberg Read More
APA-ATI Intensive Longitudinal Data: Session O - Within-Person Mediation Miriam Brinberg Read More
APA-ATI Intensive Longitudinal Data: Session R - Multivariate Dynamics & Networks Xiao Yang Read More
APA-ATI Intensive Longitudinal Data: Session T - Random Effect Tree Models Miriam Brinberg Read More
APA-ATI Intensive Longitudinal Data: Session V - Diff-Eq Models Lizbeth Benson Read More
APA-ATI Intensive Longitudinal Data: Session W - Time Series Clustering Nilam Ram Read More
APA-ATI Intensive Longitudinal Data: Session Z - Power Analysis Nilam Ram Read More
Other Basics of brain graph analysis in R with igraph Lizbeth Benson Read More
Boolean Network Analysis of Time-Series Data - Part 1 Xiao Yang Read More
Boolean Network Analysis of Time-Series Data - Part 2 Xiao Yang Read More
Calculating Fear Sensitivity scores using a Hyperbolic Tangent Growth Model Nilam Ram Read More
Cross Recurrence Quantification Analysis Allison L. Gray Read More
Diversity-type Intraindividual Variability Calculation Lizbeth Benson Read More
Emodiversity Supplementary Analyses - As U Live Data Nilam Ram Read More
Lizbeth Benson
Five-ish Steps to Create Pretty Interaction Plots for a Multi-level Model in R Rachel E. Koffer Read More
Gatzke-Kopp & Ram (2018): Developmental Dynamics of Autonomic Function in Childhood Nilam Ram Read More
Generating a Custom Color Palette Function in R Lizbeth Benson Read More
Generating and Plotting Data from ODE Models: Part 1 Nilam Ram Read More
Generating and Plotting Data from ODE Models: Part 2 Nilam Ram Read More
Grid-Sequence Analysis Tutorial Miriam Brinberg Read More
High Performance Computing in R Lizbeth Benson Read More
Impulse Response Analysis to Extract Network Metrics Xiao Yang Read More
Intraindividual Variability + Network Analysis Xiao Yang Read More
Intro - Basic Confirmatory Factor Analysis Nilam Ram Read More
Lizbeth Benson
Intro - Basic Exploratory Factor Analysis Nilam Ram Read More
Intro - Basics of Longitudinal Measurement Invariance Nilam Ram Read More
Intro to Geospatial Data and Maps in R Julie Wood Read More
Lizbeth Benson
Introduction to IRT Modeling Julie Wood Read More
Peter Molenaar
Introductory ODEs Julie Wood Read More
Matrix of Implied Causation for Intervention Comparison Timothy R. Brick Read More
Matrix of Implied Causation in a Simple Mediation Timothy R. Brick Read More
Morales et al (2017) Age-related changes in the dynamics of fear-related regulation in early childhood Nilam Ram Read More
Obtaining Finance Data with tidyquant Allison L. Gray Read More
One-with-many (OWM) Tutorial Miriam Brinberg Read More
R Bootcamp: Introduction to Multilevel Model and Interactions Miriam Brinberg Read More
RMANOVA - Towards a Multilevel Framework: Part 1 Nilam Ram Read More
Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach Xiao Yang Read More
Structural Equation Modeling in R using lavaan Lizbeth Benson Read More
The Matrix of Implied Causation (MIC) for Design and Model Checking Timothy R. Brick Read More
Using Functional Data Analysis to Compute Derivative Estimates Sy-Miin Chow Read More
Using the qualtRics and boxr R Packages Lizbeth Benson Read More
BERD Workshop: An Introduction to Text Mining for Scientific Inquiry BERD Text Mining Workshop, Part 1: Text Data Handling and Descriptives Timothy R. Brick Read More
Priyanka Paul
BERD Text Mining Workshop, Part 2: Sentiment, Topics, and Clusters Timothy R. Brick Read More
Priyanka Paul
BERD Text Mining Workshop, Part 3.1: Deep word embeddings Timothy R. Brick Read More
Priyanka Paul
BERD Text Mining Workshop, Part 3.2: Deep Learning Timothy R. Brick Read More
Priyanka Paul
Data Mining Cross-Validation Tutorial Miriam Brinberg Read More
Ensemble Methods - Bagging, Random Forests, Boosting Nilam Ram Read More
Introduction to Classification & Regression Trees Nilam Ram Read More
k Nearest Neighbors: An Introductory Example Miriam Brinberg Read More
Roisin White
Regression as a Statistical Learning Tool + Cross-Validation Nilam Ram Read More
Sequence Analysis: Clustering on Edit Distance Miriam Brinberg Read More
Supervised Machine Learning: The Caret Package Lizbeth Benson Read More
Topic Modeling: Just a Start Xiao Yang Read More
Unsupervised Machine Learning: The hclust, pvclust, cluster, mclust, and more Lizbeth Benson Read More
What’s for dynr: A package for linear and nonlinear dynamic modeling in R dynr.mi: Multiple Imputation in dynr Linying Ji Read More
Yanling Li
dynr: LinearSDE Linying Ji Read More
Meng Chen
dynr: RSLinearDiscreteExample Linying Ji Read More
Meng Chen
dynr: RSNonlinearDiscreteExample Linying Ji Read More
Meng Chen
R Bootcamp: GCM demo in dynr Sy-Miin Chow Read More
Yanling Li
R Bootcamp: PFA in dynr Sy-Miin Chow Read More
R Bootcamp: VAR demo in dynr Linying Ji Read More
Yanling Li
Growth Modeling: Structural Equation and Multilevel Modeling Approaches Growth Modeling Chapter 10: Growth Models with Nonlinearity in Time Allison L. Gray Read More
Growth Modeling Chapter 11: Growth Models with Nonlinearity in Parameters Nilam Ram Read More
Miriam Brinberg
Jessica Lougheed
Growth Modeling Chapter 12: Models with Nonlinearity in Random Coefficients Nilam Ram Read More
Miriam Brinberg
Growth Modeling Chapter 13: Modeling Change with Latent Entities Allison L. Gray Read More
Growth Modeling Chapter 14: Modeling Change with Latent Variables Measured by Continuous Indicators Julie Wood Read More
Growth Modeling Chapter 16: Introduction to Latent Change Score Modeling Xiao Yang Read More
Growth Modeling Chapter 17: Multivariate Latent Change Score Models Miriam Brinberg Read More
Growth Modeling Chapter 2: Practical Preliminaries Miriam Brinberg Read More
Growth Modeling Chapter 3: Linear Growth Models Miriam Brinberg Read More
Growth Modeling Chapter 4: Continuous Time Metrics Julie Wood Read More
Eric Layland
Growth Modeling Chapter 5: Linear Growth Models with Time-Invariant Covariates Julie Wood Read More
Eric Layland
Growth Modeling Chapter 8: Multivariate Growth Models and Dynamic Parameters Xiao Yang Read More
Survival Analysis Part 1: How to format data for several types of survival analysis models Lizbeth Benson Read More
Jessica Lougheed
Part 2: Single-episode Cox regression model with time-invariant predictors Lizbeth Benson Read More
Jessica Lougheed
Part 3: Single-episode Cox regression model with time-varying predictors Lizbeth Benson Read More
Jessica Lougheed
Part 4: Recurring-episode Cox regression model with time-invariant predictors Lizbeth Benson Read More
Jessica Lougheed
Part 5: Recurring-episode Cox regression model with time-varying predictors Lizbeth Benson Read More
Jessica Lougheed