Bayesian historical borrowing with longitudinal large-scale assessments
Abstract The purpose of this paper is to extend and evaluate methods of Bayesian historical borrowing applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-01-01
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| Series: | Large-scale Assessments in Education |
| Online Access: | https://doi.org/10.1186/s40536-022-00140-w |