Cargando…
Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes
Complex interactive test items are becoming more widely used in assessments. Being computer-administered, assessments using interactive items allow logging time-stamped action sequences. These sequences pose a rich source of information that may facilitate investigating how examinees approach an ite...
Autores principales: | Ulitzsch, Esther, He, Qiwei, Ulitzsch, Vincent, Molter, Hendrik, Nichterlein, André, Niedermeier, Rolf, Pohl, Steffi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035117/ https://www.ncbi.nlm.nih.gov/pubmed/33544300 http://dx.doi.org/10.1007/s11336-020-09743-0 |
Ejemplares similares
-
A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks
por: Ulitzsch, Esther, et al.
Publicado: (2022) -
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data
por: Ulitzsch, Esther, et al.
Publicado: (2021) -
Book Review Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment
por: Ulitzsch, Esther
Publicado: (2022) -
A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models
por: Nagy, Gabriel, et al.
Publicado: (2021) -
A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes
por: Lüdtke, Oliver, et al.
Publicado: (2021)