| Yamashita, Takashi, Smith, Thomas J., Cummins, Phyllis A. |
2021 |
A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus |
| Joo, Sean, Valdivia, Montserrat, Valdivia, Dubravka Svetina, Rutkowski, Leslie |
2023 |
Alternatives to Weighted Item Fit Statistics for Establishing Measurement Invariance in Many Groups |
| Yamaguchi, Kazuhiro |
2023 |
Bayesian Analysis Methods for Two-Level Diagnosis Classification Models |
| Proietti, Giada Spaccapanico, Matteucci, Mariagiulia, Mignani, Stefania, Veldkamp, Bernard |
2023 |
Chance-Constrained Automated Test Assembly |
| Lyu, Weicong, Kim, Jee-Seon, Suk, Youmi |
2023 |
Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models |
| Suk, Youmi, Kim, Jee-Seon, Kang, Hyunseung |
2021 |
Hybridizing machine learning methods and finite mixture models for estimating heterogeneous treatment effects in latent classes |
| Grund, Simon, Luedtke, Oliver, Robitzsch, Alexander |
2021 |
On the treatment of missing data in background questionnaires in educational large-scale assessments |
| Ulitzsch, Esther, Pohl, Steffi, Khorramdel, Lale, Kroehne, Ulf, von Davier, Matthias |
2023 |
Using response times for joint modeling of careless responding and attentive response styles |
| Ulitzsch, Esther, He, Qiwei, Pohl, Steffi |
2022 |
Using Sequence Mining Techniques for Understanding Incorrect Behavioral Patterns on Interactive Tasks |