Psychometric Network Modeling with the Psychonetrics R Package

Sacha Epskamp
October 14, 2024
9:00AM - 1:00PM
Psychology Building Room 22

Date Range
2024-10-14 09:00:00 2024-10-14 13:00:00 Psychometric Network Modeling with the Psychonetrics R Package Please join us for Psychometric Network Modeling with the Psychonetrics R Package, a workshop with Dr. Sacha Epskamp (Department of Psychology, National University of Singapore).The freely available psychonetrics package for R provides an encompassing framework for psychometric network modeling, combining typical practices in Structural Equation Modeling (SEM) with undirected network modeling now commonly used in network psychometrics. The psychonetrics package can be used for various types of data (cross-sectional, time-series and panel data), and not only allows researchers to explore relations between observed and latent variables through the use of network models, but also allows researchers to perform confirmatory tests on given network structures and to test for homogeneity in (latent) network structures across groups. This workshop will introduce participants to the psychonetrics package and will teach participants to estimate psychometric network models from cross-sectional data. Familiarity with R and having R and the psychonetrics package installed are recommended for attending the workshop.Sacha Epskamp is an Associate Professor at the National University of Singapore (NUS), Department of Psychology. Prior to joining NUS, he worked at the University of Amsterdam in the Department of Psychology and the Centre for Urban Mental Health. Sacha's research focuses on network psychometrics, specifically in the topics of estimating network models from psychological datasets and equating these to established psychometric modeling techniques. This work culminated in a book, Network Psychometrics with R: A Guide for Behavioral and Social Scientists. He has implemented these methods in several software packages now routinely used in diverse fields of psychological research. His other research interests include meta-science and reproducibility, complexity, time-series modeling, and dynamical systems modeling. Sacha Epskamp has received several awards for his research, including the Leamer-Rosenthal Prize of the Berkeley Initiative for Transparency in the Social Sciences, the dissertation prize of the psychometric society, and the junior scientific reward of the Complex Systems Society. In 2024, Sacha was the recipient of the Janet T. Spence Award for Transformative Early Career Contributions.  Psychology Building Room 22 America/New_York public

Please join us for Psychometric Network Modeling with the Psychonetrics R Package, a workshop with Dr. Sacha Epskamp (Department of Psychology, National University of Singapore).

The freely available psychonetrics package for R provides an encompassing framework for psychometric network modeling, combining typical practices in Structural Equation Modeling (SEM) with undirected network modeling now commonly used in network psychometrics. The psychonetrics package can be used for various types of data (cross-sectional, time-series and panel data), and not only allows researchers to explore relations between observed and latent variables through the use of network models, but also allows researchers to perform confirmatory tests on given network structures and to test for homogeneity in (latent) network structures across groups. This workshop will introduce participants to the psychonetrics package and will teach participants to estimate psychometric network models from cross-sectional data. Familiarity with R and having R and the psychonetrics package installed are recommended for attending the workshop.

Sacha Epskamp is an Associate Professor at the National University of Singapore (NUS), Department of Psychology. Prior to joining NUS, he worked at the University of Amsterdam in the Department of Psychology and the Centre for Urban Mental Health. Sacha's research focuses on network psychometrics, specifically in the topics of estimating network models from psychological datasets and equating these to established psychometric modeling techniques. This work culminated in a book, Network Psychometrics with R: A Guide for Behavioral and Social Scientists. He has implemented these methods in several software packages now routinely used in diverse fields of psychological research. His other research interests include meta-science and reproducibility, complexity, time-series modeling, and dynamical systems modeling. Sacha Epskamp has received several awards for his research, including the Leamer-Rosenthal Prize of the Berkeley Initiative for Transparency in the Social Sciences, the dissertation prize of the psychometric society, and the junior scientific reward of the Complex Systems Society. In 2024, Sacha was the recipient of the Janet T. Spence Award for Transformative Early Career Contributions.