Data Quality, Decision-Making, and Processes

  • Adams, C., Crowe, P., Neely, A., The Performance Prism in Action, retrieved from LINK. The authors illustrate the practical application of a new measurement framework for companies, used extensively in the United Kingdom, called The Performance Prism; they address the limitations of traditional measurement frameworks, presenting their model that has extensive stakeholder involvement.
  • Carrilio, T., (2008), Accountability, Evidence, and the Use of Information Systems in Social Service Programs, Journal of Social Work, April, Volume 8, retrieved from LINK. This article discusses the importance of social workers accurately documenting service activities and outcomes, particularly with the advent of evidence-based practices; further, it describes a “multiple case study” of social workers’ use of computers and data systems.
  • Chapman, A., [report presenter], (2005), Principles of Data Quality, Global Biodiversity Information Facility, Copenhagen, Denmark, retrieved from LINK. This paper highlights the importance of data quality in various occupations, but as specifically geared to primary species occurrence and environmental assessment; the importance and necessity of data quality and proper documentation in business, medicine, and other fields is emphasized.
  • Developing a Plan for Outcome Measurement, Strengthening Nonprofits – A Capacity Builder’s Resource Library, retrieved from LINK. This e-learning module discusses and provides suggestions for clarifying goals, assembling a planning team, developing outcomes, crafting logic models, and devising performance measures; additionally, more Web sites are suggested for further learning.
  • Dietrich, R., (2010), Data-based Decision Making Cultures; Four Assumptions, Association for Positive Behavior Support, retrieved from LINK. This presentation describes four assumptions necessary for data-based decision making to be effective, and explores the truthfulness of the assumptions. Additionally, discussion is provided of how decisions based on data are becoming increasingly regarded as an ethical obligation by some helping professions.
  • Ensuring Quality in Contracted Child Welfare Services, (2008), U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation, retrieved from LINK. This article describes ways that public child welfare agencies can better monitor quality and outcomes within the State agency’s quality assurance/improvement system through contracts with service providers.
  • Fayyad, U., (2002), Datamation, Drilling Down with a Data Mining Pioneer, retrieved from LINK. The author defines drilling down/data mining and provides guidelines and tips for mining data.
  • From Data to Decisions II, Partnership for Public Service, IBM Center for the Business of Government (October 2012), retrieved from LINK. This publication discusses in detail an analytics approach to managing organizations, which allows for the unearthing of hidden problems, monitoring of progress, measuring of performance, and providing of a vision for what should be done better. Clearly described steps are articulated to help agencies begin to use data as a major component in moving forward and measuring progress.
  • Gwet, K., (2012), Handbook of Inter-Rater Reliability, Third Edition: The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters, retrieved from LINK. This information serves as a handbook for researchers, practitioners, teachers, and students, and provides, for both researchers and non-researchers, well-organized and readable materials on inter-rater reliability.
  • Liddy, C., Wiems, M., and Hogg, W., (2011), Methods to Achieve High Interrater Reliability in Data Collection from Primary Care Medical Records, Annals of Family Medicine, retrieved from LINK. This article deals with inter-rater reliability in the medical setting and makes recommendations for increasing reliability.
  • Reveal, E., and Helfgott, K., (2012), Putting the Pieces Together: Guidebook for Fact-Based Decision Making to Improve Outcomes for Children and Families, Washington, DC: Technical Assistance Partnership for Child and Family Mental Health, retrieved from LINK. This article presents helpful guidance to human services agencies/employees that are just beginning their “managing by data” journey to those who are already in a data-driven culture, with the goal of achieving better outcomes for children and families.