Design-Based Approach for Analysing Survey Data in Veterinary Research
dc.citation.issue | 6 | |
dc.citation.volume | 8 | |
dc.contributor.author | Yang DA | |
dc.contributor.author | Laven RA | |
dc.contributor.editor | Bertelloni F | |
dc.coverage.spatial | Switzerland | |
dc.date.accessioned | 2024-02-02T02:21:31Z | |
dc.date.accessioned | 2024-07-25T06:38:07Z | |
dc.date.available | 2021-06-08 | |
dc.date.available | 2024-02-02T02:21:31Z | |
dc.date.available | 2024-07-25T06:38:07Z | |
dc.date.issued | 2021-06-08 | |
dc.description.abstract | Sample surveys are an essential approach used in veterinary research and investigation. A sample obtained from a well-designed sampling process along with robust data analysis can provide valuable insight into the attributes of the target population. Two approaches, design-based or model-based, can be used as inferential frameworks for analysing survey data. Compared to the model-based approach, the design-based approach is usually more straightforward and directly makes inferences about the finite target population (such as the dairy cows in a herd or dogs in a region) rather than an infinite superpopulation. In this paper, the concept of probability sampling and the design-based approach is briefly reviewed, followed by a discussion of the estimations and their justifications in the context of several different elementary sampling methods, including simple random sampling, stratified random sampling, and one-stage cluster sampling. Finally, a concrete example of a complex survey design (involving multistage sampling and stratification) is demonstrated, illustrating how finding unbiased estimators and their corresponding variance formulas for a complex survey builds on the techniques used in elementary sampling methods. | |
dc.description.confidential | false | |
dc.edition.edition | June 2021 | |
dc.format.pagination | 105- | |
dc.identifier.author-url | https://www.ncbi.nlm.nih.gov/pubmed/34201344 | |
dc.identifier.citation | Yang DA, Laven RA. (2021). Design-Based Approach for Analysing Survey Data in Veterinary Research.. Vet Sci. 8. 6. (pp. 105-). | |
dc.identifier.doi | 10.3390/vetsci8060105 | |
dc.identifier.eissn | 2306-7381 | |
dc.identifier.elements-type | journal-article | |
dc.identifier.issn | 2306-7381 | |
dc.identifier.number | ARTN 105 | |
dc.identifier.pii | vetsci8060105 | |
dc.identifier.uri | https://mro.massey.ac.nz/handle/10179/70587 | |
dc.language | eng | |
dc.publisher | MDPI (Basel, Switzerland) | |
dc.publisher.uri | https://www.mdpi.com/2306-7381/8/6/105 | |
dc.relation.isPartOf | Vet Sci | |
dc.rights | (c) The author/s | en |
dc.rights.license | CC BY 4.0 | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | design-based approach | |
dc.subject | sampling | |
dc.subject | survey methodology | |
dc.subject | unbiasedness | |
dc.subject | variance estimation | |
dc.title | Design-Based Approach for Analysing Survey Data in Veterinary Research | |
dc.type | Journal article | |
pubs.elements-id | 446988 | |
pubs.organisational-group | Other |