Evaluating outcomes of arts engagement: a holistic model

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Report and research summary: ENCATC Advanced Seminar: Rethinking Cultural Evaluation: Going Beyond GDP Paris, 22 October 2014 Evaluating outcomes of arts engagement: a holistic model Dr. Kim Dunphy, Research Program Manager, Cultural Development Network In October, CDN s Research Program Manager Kim Dunphy made a presentation at the Advanced Seminar, Rethinking Cultural Evaluation: Going Beyond GDP organized by ENCATC, Europe s leading network on cultural management. Presenters included Melika from UNESCO s project on Cultural Indicators for Development and Lorena Sanchez from OECD s Better Life Index. The seminar was attended by more than 50 cultural managers, researchers, government and arts organisation representatives from across Europe and elsewhere. The report below is a summary of Kim s presentation. The powerpoint of the presentation is available from www.culturaldevelopment.net.au/publications/research-reports/ and the full paper will be published in the book Making Culture Count: the politics of cultural measurement, co-edited by Kim with colleagues from VCAM s Centre for Cultural Partnerships Marnie Badham, Emma Blomkamp and Lachlan Macdowall published by Palgrave and due out in mid-2015. More information about the event: http://encatc.org/pages/index.php?id=372 Evaluating outcomes of arts engagement: a holistic model In the emerging professional field of cultural development, funders and host organisations, including local councils, increasingly seek to understand the impact of work they support or lead. Yet arts leaders and those who manage their programs are challenged to explicate outcomes fully. Evaluation approaches infrequently take a holistic approach to evaluation, often focusing predominantly on social or economic outcomes. Other outcomes are sometimes categorized as intrinsic and therefore considered immeasurable. Consequently, much of the benefit of arts engagement can be missed. Evaluation approaches commonly only consider benefits, and offer no assessment of negative or neutral outcomes, or proportion of benefit to costs. A solution to those dilemmas is proposed in a holistic framework for evaluation of outcomes of arts engagement. It is offered as an effective approach for those seeking to contribute to positive community outcomes through their work, including local government professionals and arts organisations that have a community change agenda. 1

This framework has particularly been developed for practitioners and managers who may not have specialist expertise in evaluation, but who need, as part of offering quality professional services to be monitoring and evaluating their work, and reporting to nonspecialists about this. The framework pre-supposes an intention by program leaders and funders to make a positive contribution to the lives of participants, and in so doing, to the wider community. It is proposed as useful for government, (national, state and local), non-government and community organisations as well as individual artists and arts workers who have a positive change goal and seek to understand the implications of their work. The framework offers a means of considering different: perspectives of change (who perceived and experienced the change); dimensions of change (what type of change occurred); and degree of change (how much change occurred), to arrive at an overall assessment of project outcomes. Perspectives of change: In this framework, data is first categorised according to the perspectives of different stakeholders. This strategy was informed by Most Significant Change methodology (Dart & Davies, 2003), which acknowledges that different levels of stakeholders, from beneficiaries to program staff, manager and funders may all have different, yet valuable, perspectives regarding valued outcomes of an initiative. For arts initiatives, the stakeholders might include project participants, audience members and their communities, arts leaders, managers, decision makers and funders. A second consideration is that an initiative might also impact on these stakeholders in different ways. Consequently, these should be considered in an evaluation. Figure 1 below offers a pictorial representation of the different types of stakeholders and their proportionate significance. This indicates that a project might primarily be expected to impact participants (active participants), audience members (receptive participants), artistic leaders, the host organization and funders (investors) and the wider community (public), in lesser degrees, and each of these groups might perceive outcomes differently. These circles can be adjusted in size depending on the particular focus of an initiative or evaluation.! Stakeholders,in,arts,engagement,processes.,! Wider!community! Funders! Host!organisa%on! Ar%s%c!leader/s! Audience!members! Par%cipants! Figure 1: Stakeholders in arts engagement processes 2

Data collection processes need to include categorization of the stakeholder group each piece of data is derived from. This is not likely to prove difficult as data collection processes would most likely be different for each stakeholder group. Domains of change Next, data gathered about outcomes of an initiative are categorised within the six domains of: personal wellbeing, cultural, social, civic, economic and ecological change as represented in the diagram below. (Ecological rather than environmental is used to delineate this domain, as recommended by GCCP (2013) because it includes humans as part of the natural world). These domains are divided into seven sub-domains, which cover the major types of change that might be expected from arts engagement in each area. These subdomains have been informed by theory from a range of sources, including: the cultural domain from literature about arts impacts including Holden (2006), McCarthy et al (2004), Radbourne et al (2010), Throsby (2001) and UCLG (2006); personal wellbeing domain from wellbeing theory as discussed by Ostroff, O Toole & Kropf, (2007) and DECS (2010, citing Goldspink 2009); social, civic and ecological domains (CIV, 2014; GCCP, 2013) and economic domain (UNESCO, 2009, 2014). Further details, outside the scope of this article, are available from CDN (2014). Ecological domain: sustainable built and natural environment Personal wellbeing domain: flourishing and fulfilled individuals Civic domain: democratic and engaged community Social domain: healthy safe and inclusive community Economic domain: dynamic resilient local economy Cultural domain: culturally rich and vibrant community Figure 2: Domains of change This framework addresses several of the most salient challenges in evaluation of arts engagement, particularly how value can be determined and measured. It takes a fresh look at the ongoing dilemma of intrinsic and instrumental value, rejecting the classification of the value of the arts as intrinsic and suggesting instead that all outcomes of arts engagement 3

can be described and measured. Drawing from holistic models of community development and sustainability offered by Hawkes (2001), Ife (2002), GCCP (2013) and CIV (2014), these outcomes are classified into six domains of personal wellbeing, cultural, social, economic, civic and ecological. The value of the arts often considered as intrinsic, including the aesthetic, creative, historic, symbolic and spiritual dimensions, can largely be reconsidered as cultural within this framework. Enjoyment or pleasure generated through arts participation, most often considered as an intrinsic value, is included in the personal wellbeing domain. The framework allows for consideration of different perspectives of a range of stakeholders, as recommended in participatory approaches to development. It also enables consideration of outcomes that are not as expected or desired, across directions of change that include positive and negative, and intended and unintended. The framework addresses a further challenge for qualitative researchers in the need to distill easily digestible results from large amounts of data. A pictorial representation of outcomes of arts engagement offers a quantitative perspective on qualitative data. This allows complex qualitative data to be more accessible and easily interpreted. It is intended to assist managers, funders and policy makers better determine the impact of the work they support and thereby make more judicious decisions about use of resources. Figure 3 below show results of the application of this model to a youth peace-building theatre project in Timor-Leste documented in Dunphy (2011). This project addressed goals and achieved most desired outcomes for stakeholders, particularly young active participants, but also audience members and wider community members. Positive outcomes were strongest in the personal wellbeing, social, cultural domains, with several unexpected positive outcomes achieved, including bridging social capital developed between Timorese people and foreign workers and visitors (social domain) and the work-related skill of English language learning Expected( change Actual( change( Legend& 1 (((((((((((((((((((((((((((5((((((((((((((((((((((((((((((((9( Most(negative(((((neutral(or(no(change((((((most(positive(change( Figure 3: Outcomes of a youth theatre project represented across the six domains 4

References CIV. 2014. Community Indicators Victoria Data Framework. Accessed 16.10.14. www.communityindicators.net.au/metadata_items Davies, Rick and Jess Dart. 2005. The Most Significant Change (MSC) technique, London: Care International. Accessed 30 November 2013. www.mande.co.uk/docs/mscguide.pdf. Department of Education and Children s Services (DECS). (2010). Understanding student engagement rationale. Adelaide: South Australia Department of Education and Children s Services (DECS). Dunphy, Kim. 2011. Evaluating The Scared Cool project: Understanding peacemaking through creativity and personal development in Timor-Leste. e-journal of UNESCO Observatory Multi-Disciplinary Research in the Arts, 2 2. Accessed March 27, 2014. http://web.education.unimelb.edu.au/unesco/pdfs/ejournals/009_dunphy.pdf GCCP (Global Compact Cities Program). 2013. Circles of Sustainability Urban Profile Process. Accessed 14 April 2014. http://citiesprogramme.com/archives/resource/circles-ofsustainability-urban-profile-process. Hawkes, Jon. 2001. The fourth pillar of sustainability. Melbourne: Cultural Development Network. Holden, John. 2006. Cultural value and the crisis of legitimacy. Accessed February 17, 2012. www.demos.co.uk/files/culturalvalueweb.pdf?1240939425. Ife, Jim. 2002. Community development: Community-based alternatives in an age of globalisation (2nd ed.). Frenchs Forest: Pearson Education. McCarthy, Kevin, Elizabeth Ondaatje, Laura Zakaras and Arthur Brooks. 2004. Gifts of the Muse: Reframing the debate about the benefits of the arts. Santa Monica: RAND Corporation. Accessed 20 December, 2009. www.rand.org/pubs/monographs/2005/rand_mg218.sum.pdf. Ostroff, S., O Toole, L., and Kropf, D. (2007). Reflections for Well-being in Education, Universal Education Foundation. Retrieved from: http://www.uef-eba.org. Radbourne, Jennifer, Katya Johanson and Hilary Glow. 2010. Empowering audiences to measure quality. Participations: Journal of audience & reception studies. 7 2: 360-379. Throsby, David. 2001. Economics and culture. Cambridge: Cambridge University Press. UNESCO. 2009. Framework for Cultural Statistics, Montreal: UNESCO. Accessed October 16, 2014. http://unstats.un.org/unsd/statcom/doc10/bg-fcs-e.pdf UNESCO. 2014. Culture for development indicators. Paris: UNESCO. Accessed October 16, 2014. www.unesco.org/new/en/culture/themes/cultural-diversity/diversity-of-culturalexpressions/programmes/culture-for-development-indicators/seven-dimensions/ United Cities and Local Governments (UCLG). 2010. Culture: the fourth pillar of sustainable development. Barcelona: UCLG. 5