Maximizing data quality and shortening survey time: Three-form planned missing data survey design

Publication date

2020-11

Authors

Moore, E. Whitney G.
Lang, Kyle M.ORCID 0000-0001-5340-7849ISNI 0000000506790020
Grandfield, ElizabethISNI 0000000506790071

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

Simulation studies have shown the three-form planned missing data design efficiently collects high quality data while reducing participant burden. This methodology is rarely used in sport and exercise psychology. Therefore, we conducted a re-sampling study with existing sport and exercise psychology survey data to test how three-form planned missing data survey design implemented with different item distribution approaches effect constructs’ internal measurement structure and validity. Results supported the efficacy of the three-form planned missing data survey design for cross-sectional data collection. Sample sizes of at least 300 (i.e., 100 per form) are recommended for having unbiased parameter estimates. It is also recommended items be distributed across survey forms to have representation of each facet of a construct on every form, and that a select few of these items be included across all survey forms. Further guidelines for three-form surveys based upon the results of this resampling study are provided.

Keywords

Planned missing data design, Three-form design, Parameter estimate bias, Relative efficiency, Reliability, Percent relative bias, Taverne

Citation

Moore, E W G, Lang, K & Grandfield, E M 2020, 'Maximizing data quality and shortening survey time : Three-form planned missing data survey design', Psychology of Sport and Exercise, vol. 51, 101701, pp. 1-12. https://doi.org/10.1016/j.psychsport.2020.101701