Develop an active and engaged posture toward designing and executing qualitative data collection projects. #Qualitative Design and Data Collection Camp - March 10-13, 2025 · Would you like to improve your project decision-making? · Do you want to be more engaged and present

Next week, I'm teaching a 3-day workshop on DSEM for intensive longitudinal data using Mplus and registration is still open! More information about the topics and registration can be found here, statisticalhorizons.com/seminars/dynam…

🌟Curious about the `svalues` command in Mplus when applying mixture models?📺Our latest YouTube video discusses saving parameter estimates to help with model convergence and reordering classes for better interpretability and comparability! youtube.com/watch?v=HULJH5…

Hello Friends, new month new pub! Check out “Practical Problems Estimating and Reporting Power When Hypotheses Are Embedded in Complex Statistical Models” by David A. Cole, George Abitante, Hoi Kan, me, Kristopher J. Preacher, and Scott E. Maxwell journals.sagepub.com/doi/10.1177/25…

This five-day workshop includes the content and structure of the PSID interview, its special topics modules, and supplemental studies, including the Child Development Supplement and the Transition into Adulthood Supplement. For more info, go to myumi.ch/r8ENZhM #SumProg25

Learn about the core concepts of network analysis, emphasizing practical applications for social science research. Be guided through summarizing, visualizing, and modeling network data using R and the netify package. myumi.ch/8rW22 #SumProg25 #ICPSR #RStats #Netify

Amazing location and group of educators for a summer school on network psychometrics!

This is by far the MOST innovative and mind-blowing course I've created in my entire career. I couldn't be more excited with a course: from the beauty of the slides, the organization of the content, to the unbelievably cool hands-on activities.

How can we reduce conceptual clutter in the psychological sciences? Rui Mata and I propose a solution based on a fine-tuned 🤖 LLM (bit.ly/mpnet-pers) and test it for 🎭 personality psychology. The paper is finally out in Nature Human Behaviour: go.nature.com/4bEaaja

In a recent article in JEM, Zhang et al. introduce a missing data model based on the missing not at random (MNAR) mechanism and introduce an efficient Bayesian slice sampling algorithm to estimate the model parameters. Learn more: doi.org/10.1111/jedm.1… #NCMEResearch

Are you doing #EMA research and wonder how to go about it? In recent work we've adressed some open questions and challenges, here is a brief summary of papers and materials. 🧵

Come join me!

We will feature the Sort and Sift tools in our Qualitative Data Analysis Camp and in the Data Analysis Tools to Adopt in Any #Qualitative Inquiry Project course at QRSI. ~ Bring your data to our Qualitative Data Analysis Camp and learn the Sort and Sift approach while making

Learn the principles and tools to move beyond estimating the "average" effect of variables and treatments in this online course. For more details: myumi.ch/RmM74 #SumProg25 #ICPSR #SocialScience #ResearchTraining #QuantitativeResearch

S6E20 Dominance Analysis This week Greg and Patrick explore the extremely clever yet inexplicably underused method of dominance analysis which offers a set of techniques for determining the relative importance of predictors in a regression model.

Today I'm teaching the Ergodicity Information Index in my Network Psychometrics With Exploratory Graph Analysis in R workshop with Statistical Horizons. A good day to share the paper (link below) and to pay homage to my dear colleague John Nesselroade! Paper: tandfonline.com/doi/10.1080/00…

Develop model thinking, learn to code and analyze agent-based models in NetLogo, and learn to how to incorporate agent-based modeling in your research program in this online workshop! For more details: myumi.ch/AZzEg #SumProg25 #ICPSR #AgentBasedModeling #NetLogo

Learn the mechanics of predictive modeling and machine learning methods, the skills to implement, interpret, and evaluate machine learning models using R, and best practices for enhancing model interpretability and generalizability. myumi.ch/7Pymm #SumProg25 #ICPSR

🚨LAST CHANCE🚨 Receive an overview of the MTF Cross-sectional and Panel studies and discussion of the content of MTF public release and restricted-use data, data management, and analysis planning. For more details: myumi.ch/n18R9 and myumi.ch/3RkD1 #SumProg25

🚨New Pub! Led by Sarah Depaoli, with Fan Jia and Marieke Visser (our proud alum, now at UNCG), our paper is out in Structural Equation Modeling! We show how small-variance priors in Bayesian SEM can uncover hidden effects in LCA models. Check it out: doi.org/10.1080/107055…