Explaining change in time using multilevel models and time constant predictors
Learn how to explain change in time using time constant predictors using the multilevel model. Examples with real data and R code
Estimating non-linear change in time using the multilevel model for change
Learn how to model non-linear change in time using the multilevel model for change in R. Hands on tutorial with real data.
Summer schools in applied statistics and survey methodology 2023
Full list of summer schools covering statistics, data science and data collection. Find out dates, prices and courses on offer
Understanding mode of interview switching in longitudinal surveys
Understanding how respondents switch modes of interview in a longitudinal study using latent class models. Findings from a panel study.
Estimating non-linear change with Latent Growth Models in R
Learn how to estimate and visualize nonlinear Latent Growth Models (LGM) using R and real world longitudinal data
Estimating multilevel models for change in R
Learn how to analyze longitudinal data using multilevel model for change with R. Real world data and syntax.
Estimating and visualizing change in time using Latent Growth Models with R
Tutorial showying you how to visualize change in time and how to estimate it using Latent Growth Modeling wirh R.
Visualizing transitions in time using R
Learn how to vizualize tranisitions in time for categorical data using Sankey plot/river/alluvial graphs and R
Twitter visualization of #JSM2019
The Join Statistical Meeting is the largest conference in the statistics world with more than 6000 people coming together to enjoy numbers, data and formulas. I couldn’t be there this …