CADDIS Volume 4: Data Analysis
- Authors: S.B. Norton, L.C. Alexander
Methods of data quality analysis and the standards for acceptable data are determined by the analyst, and may vary among data types and causal analyses. All causal assessments should include a written record of all activities and analyses conducted, and the decisions made, as part of the data quality plan. For data from other sources, the analyst has the responsibility of locating supporting documentation and evaluating whether the available data are of sufficient quantity and quality to support the causal analysis.
Links to data quality resources that may be useful to any causal analysis include:
- Data Quality Assessment Tools
- Using Data From Other Sources - A Checklist for Quality Concerns (PDF) [6 pp, 142 K, About PDF]
Analysts who plan to use the methods in this volume to analyze biomonitoring data also may be interested in the review and discussion of Basic Principles and Issues of conducting statistical causal analyses from observational data.