Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting
© 2017 Safety researchers are frequently faced with a dilemma in field research: whether to increase both participant engagement and the efficiency of their data collection by using brief construct measures, or to instead use exhaustive and thorough measures to capture the full range of statistical...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/68484 |
| _version_ | 1848761813897838592 |
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| author | Flatau Harrison, H. Griffin, Mark Gagné, Marylène Andrei, D. |
| author_facet | Flatau Harrison, H. Griffin, Mark Gagné, Marylène Andrei, D. |
| author_sort | Flatau Harrison, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2017 Safety researchers are frequently faced with a dilemma in field research: whether to increase both participant engagement and the efficiency of their data collection by using brief construct measures, or to instead use exhaustive and thorough measures to capture the full range of statistical variance in relationships of interest. Using a safety climate questionnaire, this study simulated and evaluated a novel method that can be used by safety researchers to reduce the length of surveys. The method involves using a planned missing data design to randomly allocate participants a reduced selection of items using multiple imputation to replace the missing data and produce a complete dataset, thus retaining the full range of items across the studied population. Results from the study indicate that the method provides safety researchers and practitioners with acceptable levels of model fit, and is able to demonstrate predictive validity. Advantages and disadvantages of the planned missing data design method in field research are discussed. |
| first_indexed | 2025-11-14T10:37:39Z |
| format | Journal Article |
| id | curtin-20.500.11937-68484 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:37:39Z |
| publishDate | 2018 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-684842023-06-13T02:58:37Z Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting Flatau Harrison, H. Griffin, Mark Gagné, Marylène Andrei, D. © 2017 Safety researchers are frequently faced with a dilemma in field research: whether to increase both participant engagement and the efficiency of their data collection by using brief construct measures, or to instead use exhaustive and thorough measures to capture the full range of statistical variance in relationships of interest. Using a safety climate questionnaire, this study simulated and evaluated a novel method that can be used by safety researchers to reduce the length of surveys. The method involves using a planned missing data design to randomly allocate participants a reduced selection of items using multiple imputation to replace the missing data and produce a complete dataset, thus retaining the full range of items across the studied population. Results from the study indicate that the method provides safety researchers and practitioners with acceptable levels of model fit, and is able to demonstrate predictive validity. Advantages and disadvantages of the planned missing data design method in field research are discussed. 2018 Journal Article http://hdl.handle.net/20.500.11937/68484 10.1016/j.ssci.2017.11.004 Elsevier BV restricted |
| spellingShingle | Flatau Harrison, H. Griffin, Mark Gagné, Marylène Andrei, D. Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title | Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title_full | Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title_fullStr | Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title_full_unstemmed | Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title_short | Assessing shortened safety climate measures: Simulating a planned missing data design in a field setting |
| title_sort | assessing shortened safety climate measures: simulating a planned missing data design in a field setting |
| url | http://hdl.handle.net/20.500.11937/68484 |