Optimizing the Short Dark Triad Scale Using an Ant Colony Optimization Algorithm
new publication from our department
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Grafik: Lukas A. Knitter -
Erfolgreiche Bewerbung für das Honours-Programm mit SHERPA Dynamics
Unsere wissenschaftlichen Assistent:innen Ilka Schöttke und Paul Hellmuth wurden ins diesjährige Honours-Programm aufgenommen.
Foto: Christoph Worsch (links) Privat (rechts) -
New Open-Source Python Package Simplifies Computerized Adaptive Testing (CAT)
Introducing adaptivetesting — an open-source Python package developed in our department. This software bridges the gap between CAT simulation and experimental application, offering customizable Bayesian estimation and cross-platform R compatibility.
Illustration: Linda Polten -
Predictive Model Evaluation in Bayesian Mixture and Hierarchical Models for Ordinal Data: A Teaching Evaluation Case Study
New publication from our department
Foto: Maximilian Bee -
Idiographic interrater reliability measures for intensive longitudinal multirater data
New publication from our department
Foto: Miriam Francesca Jähne -
Testing measurement and structural invariance in latent moderated mediation models
New publication from our department
Foto: Fabian Münch -
Neuste Publikationen
Übersicht unserer neusten Publikationen
Foto: Pixabay -
New Book on Analyzing Multiple Rater Data now available
Structural equation modeling of multiple rater data
Grafik: New York: Guilford Press -
Release of a new R package for analyzing intensive longitudinal data
mlts simplifies the specification and estimation of multilevel time series models with latent and manifest variables using a fully Bayesian approach via Rstan.
Grafik: Kenneth Koslowski -
Stellenausschreibung als Wissenschaftliche:r Mitarbeiter:in
Reg.-Nr. 090/2024 | Bewerbungsfrist 02.06.2024
Foto: Jan-Peter Kasper (Universität Jena) -
Stellenausschreibung als Wissenschaftliche:r Mitarbeiter:in
Reg.-Nr. 081/2024 | Bewerbungsfrist 15.05.2024
Foto: Jan-Peter Kasper (Universität Jena) -
COSDIMH – Combining Surveys and Digital Tracking Data for Mental Health Research from a Computational Social Science Perspective
Neues Drittmittel-Projekt
Foto: Pixabay