2016
DOI: 10.3138/cjpe.261
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Data Quality Evaluation for Program Evaluators

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.

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“…Others explain multidisciplinary teams as favourable, for it helped them choose guiding substantive theories. 69 Presently, a team with varied expertise will be valuable for uncovering different theories present in participant accounts that would have been missed otherwise. Second, a patient-driven approach will be taken by including a programme client on the evaluation team.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Others explain multidisciplinary teams as favourable, for it helped them choose guiding substantive theories. 69 Presently, a team with varied expertise will be valuable for uncovering different theories present in participant accounts that would have been missed otherwise. Second, a patient-driven approach will be taken by including a programme client on the evaluation team.…”
Section: Discussionmentioning
confidence: 99%
“…Information regarding five indicators of administrative data quality outlined by Henson will be recorded in order to be transparent about the data from Sanctum V.1.0 records: completeness, timeliness, valid representativeness, consistency and integrity. 69 Data quality will be commented on when the findings are reported. Once qualitative data are transcribed, the interviewer will scan the transcript for accuracy.…”
Section: Methods and Analysismentioning
confidence: 99%