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  • 标题:A novel item-allocation procedure for the three-form planned missing data design
  • 本地全文:下载
  • 作者:Kyle M. Lang ; E. Whitney G. Moore ; Elizabeth M. Grandfield
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2020
  • 卷号:7
  • 页码:1-11
  • DOI:10.1016/j.mex.2020.100941
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose a new method of constructing questionnaire forms in the three-form planned missing data design (PMDD). Therandom item allocation(RIA) procedure that we propose promises to dramatically simplify the process of implementing three-form PMDDs without compromising statistical performance. Our method is a stochastic approximation to the currently recommended approach of deterministically spreading a scale's items across the X-, A-, B-, and C-blocks when allocating the items in a three-form design. Direct empirical support for the performance of our method is only available for scales containing at least 12 items, so we also propose a modified approach for use with scales containing fewer than 12 items. We also discuss the limitations of our procedure and several nuances for researchers to consider when implementing three-form PMDDs using our method.● The RIA procedure allows researchers to implement statistically sound three-form planned missing data designs without the need for expert knowledge or results from prior statistical modeling.● The RIA procedure can be used to construct both “paper-and-pencil” questionnaires and questionnaires administered through online survey software.● The RIA procedure is a simple framework to aid in designing three-form PMDDs; implementing the RIA method does not require any specialized software or technical expertise.Graphical abstractDisplay Omitted
  • 关键词:Planned missing data;Survey design;Matrix sampling;Questionnaires
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