Spring 2021 Methodology Applications Series
Featuring Ray Reichenberg
12:00 pm –
1:30 pm
Virtual
Contact:
Natalie Koziol, nkoziol@unl.edu
Ray Reichenberg, research assistant professor for the Nebraska Academy for Methodology, Analytics and Psychometrics, leads the first virtual presentation of the MAP Academy’s Spring 2021 Methodology Applications Series.
This presentation will provide an overview of some modern psychometric methods for modeling diagnostic assessment data and generating attribute profiles. These methods include latent class models, diagnostic classification models and Bayesian networks.
Reichenberg will also discuss modeling attribute hierarchies (e.g., learning progressions), approaches for capturing growth in an attribute over time and software options for implementing these models.
This presentation will provide an overview of some modern psychometric methods for modeling diagnostic assessment data and generating attribute profiles. These methods include latent class models, diagnostic classification models and Bayesian networks.
Reichenberg will also discuss modeling attribute hierarchies (e.g., learning progressions), approaches for capturing growth in an attribute over time and software options for implementing these models.
http://mapacademy.unl.edu/training/2021/ray-reichenberg/
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This event originated in Nebraska Center for Research on Children, Youth, Families & Schools.