Reliably Assessing Growth with Longitudinal Diagnostic Classification Models

Autor:	Matthew J. Madison
Rok vydání:	2019
Předmět:	Psychometrics Consistency (statistics) Computer science Item response theory Mastery learning Criterion-referenced test Diagnostic classification Reliability (statistics) Education Reliability engineering
Zdroj:	Educational Measurement: Issues and Practice. 38:68-78
ISSN:	1745-3992 0731-1745
DOI:	10.1111/emip.12243
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8c566ce6fbd6595a932e7025f2d91a9e https://doi.org/10.1111/emip.12243 Zobrazit plný text záznamu Plný text