Identifying Students at Risk: An Examination of Computer-Adaptive Measures and Latent Class Growth Analysis
| Autor: | Sarah Ochs, Juan Javier Castañeda, Samuel D. McQuillin, John H. Jones, Milena A. Keller-Margulis |
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| Rok vydání: | 2017 |
| Předmět: |
Class (computer programming)
Multivariate analysis business.industry 05 social sciences Applied psychology 050301 education Poison control Standardized test Education Test (assessment) Psychiatry and Mental health Developmental and Educational Psychology Mathematics education Achievement test 0501 psychology and cognitive sciences Computerized adaptive testing business Psychology 0503 education Applied Psychology At-risk students 050104 developmental & child psychology |
| Zdroj: | Journal of Applied School Psychology. 34:18-35 |
| ISSN: | 1537-7911 1537-7903 |
| DOI: | 10.1080/15377903.2017.1328627 |
| Popis: | Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth anal... |
| Databáze: | OpenAIRE |
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