Data Quality Evaluation for Program Evaluators

Authors

  • Harold Hensen Hensky Consulting

DOI:

https://doi.org/10.3138/cjpe.261

Keywords:

Big Data, data quality, measurement error, program evaluation

Abstract

Problems with data quality are an ongoing challenge in the field of program evaluation. In this article the author argues that the same basic process and methodology used in program evaluation in general could be applied to the assessment of data quality. It is argued that standardized evaluation questions and lines of evidence can be modified to assess quality of data generated by programs for evaluation.

Downloads

Published

2016-04-21

How to Cite

Hensen, H. (2016). Data Quality Evaluation for Program Evaluators. Canadian Journal of Program Evaluation, 31(1), 99–108. https://doi.org/10.3138/cjpe.261

Issue

Vol. 31 No. 1 (2016): Spring

Section

Research and Practice Notes

License

Copyright (c) 2016 Harold Hensen

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors contributing to The Canadian Journal of Program Evaluation agree to release their articles under the Creative Commons Attribution-Noncommercial 4.0 (CC-BY-NC) license. This licence allows this work to be copied, distributed, remixed, transformed, and built upon for any purpose provided that appropriate attribution is given, a link is provided to the license, and changes made were indicated.

Authors retain copyright of their work and grant the journal right of first publication.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.