Key considerations for logic model development in research partnerships: A Canadian case study

Fielden, Sarah J.; Rusch, Melanie; Masinda, Mambo Tabu; Sands, Jim; Frankish, Jim; Evoy, Brian

doi:10.1016/j.evalprogplan.2007.01.002

Cited by 59 publications

(38 citation statements)

References 33 publications

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“…Modeling is a process that supports quality and engages multiple perspectives. Models can be a transparent, participatory, and constructive product (Fielden et al, 2007;Sundra et al, 2006;Tucker, Liao, Giles, & Liburd, 2006). Ultimately, the foundation's strategic impact via grantees will be measured through outputs and outcomes identified in this process.…”

Section: Resultsmentioning

confidence: 99%

Corporate Giving Gets Smarter: ConAgra Foods Foundation Fights Childhood Hunger

Knowlton¹,

Phillips²

2012

Foundation Rev

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Section: Resultsmentioning

confidence: 99%

Corporate Giving Gets Smarter: ConAgra Foods Foundation Fights Childhood Hunger

Knowlton¹,

Phillips²

2012

Foundation Rev

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“…El modelo lógico es la base para elaborar una secuencia convincente del rendimiento esperado de un programa, diseñado para atender unas necesidades, siendo sus elementos los recursos, las ac vidades, los resultados inmediatos en los benefi ciarios a los que a ende, junto con los resultados en el corto plazo y su impacto, considerando las infl uencias externas relevantes (MCLAUGHLIN;JORDAN, 1999;KAPLAN;GARRET, 2005;FIELDEN et al, 2007).…”

Section: Los Modelos Lógicos Para La Evaluación De Programasunclassified

Los modelos lógicos para la evaluación de programas educativos

Mediano¹

2016

Serie-Estudos

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ResumenEl propósito de este ar culo es mostrar el proceso del modelo lógico para guiar el diseño y la evaluación de programas, ayudando a los gestores, diseñadores y evaluadores de programas a diseñar los programas y sus metas, planifi car sus procesos, concretar las estrategias para la realización de las ac vidades dirigidas al logro de los resultados pretendidos y a evaluar, de un modo comprensivo, el programa, sus procesos y sus resultados y a par r de su comprensión, realizar propuestas de mejora. Se analizan las caracterís cas de los modelos lógicos, los elementos que subyacen a la evaluación de programas, el concepto de programa y los criterios de su calidad. Asimismo se analizan las metodologías de inves gación a u lizar en la evaluación, las caracterís cas de los informes y su orientación para favorecer el uso de los resultados de la evaluación, junto con los estándares que deben guiar la evaluación y la meta-evaluación. Palabras clave Evaluación; modelos lógicos; inves gación evalua va. AbstractThe purpose of this ar cle is to show the logic models' process to guide the design and evalua on of programs, helping managers, designers and program evaluators to design programs and their goals, planning processes, iden fying the strategies for the ac vi es aimed at achieving the intended results and assess, in a comprehensive way, the program, processes and results, and from a comprehensive point of view, make sugges ons for improvement. The characteris cs of logic models are analyzed, joined to the elements underlying the program evalua on, the program concept and the quality criteria. Research methodologies used in evalua on, the characteris cs of the reports and their orienta on to promote the use of evalua on results, also are analyzed, together the standards that should guide the evalua on and meta-evalua on.

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“…Community partner authors ought to be better supported to fully engage in scholarship. This might mean fiscally strapped agencies being supplemented financially (Fielden et al 2007). Correspondingly, the academic system which perpetuates the imbalance in authorial participation would need to be realigned to expand community-engaged scholarship (Fielden et al 2007;Hart & Wolff 2006).…”

Section: Mutuality/reciprocitymentioning

confidence: 99%

“…This might mean fiscally strapped agencies being supplemented financially (Fielden et al 2007). Correspondingly, the academic system which perpetuates the imbalance in authorial participation would need to be realigned to expand community-engaged scholarship (Fielden et al 2007;Hart & Wolff 2006). When academic work that has actual value to community and academic partners alike (co-authoring grants, organising community-building events, co-creating artistic exhibits) is credited by the academy, then university-community partnerships may experience greater reciprocity.…”

Section: Mutuality/reciprocitymentioning

confidence: 99%

Building Castles Together: A sustainable collaboration as a perpetual work-in-progress

2011

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The Building Castles Together project is a multidisciplinary collaboration between the University of Southern Maine at Lewiston-Auburn College and Sandcastle Clinical and Educational Services that aims to build solidarity and resilience in vulnerable young children, their families and their community. This article explores how the partnership exemplifies five key areas impacting the sustainability of community-university collaborations. 1) Mutuality and reciprocity are foundational elements in establishing trust and ensuring project relevance to both organisations. 2) Interdisciplinarity and diversity are constructs related to the core mission of both the University and Sandcastle. The multiple perspectives offer a range of holistic strategies for addressing complex social problems, but also create the potential for misunderstandings between disciplines and organisations. 3) Community integration at multiple levels is critical to the partnership’s sustainability as well as to achievement of its ideals. 4) Dynamic interaction is an evolutionary process, both internal and external to both organisations, that impacts their relative contributions and necessitates flexibility in planning and outcomes. 5) Asset enhancement describes the potential to increase capacity, but also the concern for overextension and resource exhaustion. We conclude that sustainability in university-community partnerships is not a goal in itself, but an ongoing process, and an attribute of a partnership based on common principles, continuous input and constant change. Keywords Community-university partnership, sustainability, diversity, vulnerable youth

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Key considerations for logic model development in research partnerships: A Canadian case study

Cited by 59 publications

References 33 publications

Corporate Giving Gets Smarter: ConAgra Foods Foundation Fights Childhood Hunger

Corporate Giving Gets Smarter: ConAgra Foods Foundation Fights Childhood Hunger

Los modelos lógicos para la evaluación de programas educativos

Building Castles Together: A sustainable collaboration as a perpetual work-in-progress

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