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  • 标题:Automated Test Assembly in R: The eatATA Package
  • 本地全文:下载
  • 作者:Benjamin Becker ; Dries Debeer ; Karoline A. Sachse
  • 期刊名称:Psych
  • 电子版ISSN:2624-8611
  • 出版年度:2021
  • 卷号:3
  • 期号:2
  • 页码:96-112
  • DOI:10.3390/psych3020010
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Combining items from an item pool into test forms (test assembly) is a frequent task in psychological and educational testing. Although efficient methods for automated test assembly exist, these are often unknown or unavailable to practitioners. In this paper we present the R package eatATA, which allows using several mixed-integer programming solvers for automated test assembly in R. We describe the general functionality and the common work flow of eatATA using a minimal example. We also provide four more elaborate use cases of automated test assembly: (a) The assembly of multiple test forms for a pilot study; (b) the assembly of blocks of items for a multiple matrix booklet design in the context of a large-scale assessment; (c) the assembly of two linear test forms for individual diagnostic purposes; (d) the assembly of multi-stage testing modules for individual diagnostic purposes. All use cases are accompanied with example item pools and commented R code.
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