
Using Qualitative Data to Refine a Logic Model for the Cornell Family Development Credential Program
Author(s) -
Betsy Crane
Publication year - 2014
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2010.1187
Subject(s) - logic model , credential , computer science , empowerment , qualitative property , qualitative research , knowledge management , field (mathematics) , credentialing , software engineering , medical education , medicine , sociology , computer security , machine learning , social science , mathematics , political science , pure mathematics , law
Human service practitioners face challenges in communicating how their programs lead to desired outcomes. One framework for representation that is now widely used in the field of program evaluation is the program logic model. This article presents an example of how qualitative data were used to refine a logic model for the Cornell Family Development Training and Credentialing (FDC) Program. This interagency training program teaches a strengths-based, family support, empowerment-oriented approach to the helping relationship. Analysis of the qualitative data gathered from interviews and focus groups with stakeholders led to revisions and further development of the program's initial logic model. The logic model format was then used to organize the representation of findings relative to program activities and outcomes.