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  • 标题:Coping with Unbalanced Designs of Generalizability Theory: G String V
  • 本地全文:下载
  • 作者:Gülşen Taşdelen Teker
  • 期刊名称:International Journal of Assessment Tools in Education
  • 电子版ISSN:2148-7456
  • 出版年度:2019
  • 卷号:6
  • 期号:5
  • 页码:57-69
  • DOI:10.21449/ijate.658747
  • 语种:English
  • 出版社:International Journal of Assessment Tools in Education
  • 摘要:The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets.Because it is possible to have unbalanced data sets while conducting a study,the researchers have devised an easy solution,other than deleting data,to balance the design to cope with this situation.Thus,the software G String V will be introduced.First,the generalizability theory will be reviewed,followed by a description of the unbalanced synthetic data that was used to conduct the analysis using the software.Explanations are provided for installing the software,preparation of the data,and the step-by-step data analysis.Moreover,the interpretation of the data is also explained.Finally,the limitations of the software are shared.
  • 关键词:Generalizability theory;G String V;Unbalanced design
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