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Abstract:
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Use of administrative or found data, such as tax records, sensor data, or transaction receipts, has become more common in many research areas. Alternative data sources can help researchers make more detailed inference, in terms of either geography or analytic subgroups, often while improving statistical efficiency and decreasing cost. The National Digital Car Seat Check Form (NDCF) is a recent effort to collect more detailed and user-friendly administrative data on child passenger safety (CPS) in the course of a typical car seat check, performed by U.S.-based certified child passenger safety technicians.
This research gives an overview of the NDCF and some of the innovative methods, such as visualization-based and personalized dashboards, that are used to disseminate NDCF data to users with varying levels of data literacy. We also compare the NDCF to selected CPS-related surveys and observational studies, assessing the strengths and limitations of each source in terms of coverage, detail, data quality, and sample size. Recommendations for practical applications in the field, including exploratory work on combining survey-based data with the NDCF, are provided.
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