A Comparison of Repeat Cross-Sectional and Longitudinal Results from the COMPASS Study: Design Considerations for Analysing Surveillance Data over Time
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| Title: | A Comparison of Repeat Cross-Sectional and Longitudinal Results from the COMPASS Study: Design Considerations for Analysing Surveillance Data over Time |
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| Language: | English |
| Authors: | Butler, Alexandra E., Battista, Kate, Leatherdale, Scott T., Meyer, Samantha B., Elliott, Susan J., Majowicz, Shannon E. |
| Source: | International Journal of Social Research Methodology. 2022 25(5):597-609. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| Publication Date: | 2022 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Research Design, Longitudinal Studies, Data Analysis, Case Studies, Social Science Research, Public Health, Public Policy, Foreign Countries, Youth, Eating Habits |
| Geographic Terms: | Canada |
| DOI: | 10.1080/13645579.2021.1922804 |
| ISSN: | 1364-5579 1464-5300 |
| Abstract: | Selection of appropriate study design and analytical methods is critical for producing robust research, as the design and analytical approach used can ultimately shape results and their interpretation. The objective of this research was to examine how findings from a large repeat cross-sectional data system compare to those from a sample of longitudinal data nested within the same data system, using milk and milk alternative consumption as a case study. Overall, the repeat cross-sectional and longitudinal findings were consistent, and this article highlights the strengths and limitations of both methodologies under examination. Application to social research and public health and policy are discussed. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1367264 |
| Database: | ERIC |
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| Abstract: | Selection of appropriate study design and analytical methods is critical for producing robust research, as the design and analytical approach used can ultimately shape results and their interpretation. The objective of this research was to examine how findings from a large repeat cross-sectional data system compare to those from a sample of longitudinal data nested within the same data system, using milk and milk alternative consumption as a case study. Overall, the repeat cross-sectional and longitudinal findings were consistent, and this article highlights the strengths and limitations of both methodologies under examination. Application to social research and public health and policy are discussed. |
|---|---|
| ISSN: | 1364-5579 1464-5300 |
| DOI: | 10.1080/13645579.2021.1922804 |
