Document Type
Article
Abstract
We propose a new method of constructing questionnaire forms in the three-form planned missing data design (PMDD). The random 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.
Disciplines
Data Science | Education | Kinesiology | Social Statistics | Sports Sciences
Recommended Citation
A. Lang, E.W.G. Moore, E.M.Grandfield. A novel item-allocation procedure for the three-form planned missing data design. MethodsX 7 (2020) 100941. doi: 10.1016/j.mex.2020.100941
Included in
Data Science Commons, Education Commons, Kinesiology Commons, Social Statistics Commons, Sports Sciences Commons
Comments
©2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. (https://creativecommons.org/licenses/by/4.0/)