A novel item-allocation procedure for the three-form planned missing data design
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. Ou...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016120301618 |
| _version_ | 1818865872325836800 |
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| author | Kyle M. Lang E. Whitney G. Moore Elizabeth M. Grandfield |
| author_facet | Kyle M. Lang E. Whitney G. Moore Elizabeth M. Grandfield |
| author_sort | Kyle M. Lang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T10:54:27Z |
| format | Article |
| id | doaj.art-06aef7de1002427aa399b07d24fb02c1 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-12-19T10:54:27Z |
| publishDate | 2020-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-06aef7de1002427aa399b07d24fb02c12022-12-21T20:24:52ZengElsevierMethodsX2215-01612020-01-017100941A novel item-allocation procedure for the three-form planned missing data designKyle M. Lang0E. Whitney G. Moore1Elizabeth M. Grandfield2Tilburg University Department of Methodology and Statistics, the Netherlands; Corresponding author.Division of Kinesiology, Health & Sport Studies, Wayne State University, United StatesUniversity of Kansas Medical Center, United StatesWe 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.http://www.sciencedirect.com/science/article/pii/S2215016120301618Planned missing dataSurvey designMatrix samplingQuestionnaires |
| spellingShingle | Kyle M. Lang E. Whitney G. Moore Elizabeth M. Grandfield A novel item-allocation procedure for the three-form planned missing data design MethodsX Planned missing data Survey design Matrix sampling Questionnaires |
| title | A novel item-allocation procedure for the three-form planned missing data design |
| title_full | A novel item-allocation procedure for the three-form planned missing data design |
| title_fullStr | A novel item-allocation procedure for the three-form planned missing data design |
| title_full_unstemmed | A novel item-allocation procedure for the three-form planned missing data design |
| title_short | A novel item-allocation procedure for the three-form planned missing data design |
| title_sort | novel item allocation procedure for the three form planned missing data design |
| topic | Planned missing data Survey design Matrix sampling Questionnaires |
| url | http://www.sciencedirect.com/science/article/pii/S2215016120301618 |
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