Article

Data Collection Methods for Evaluating Museum Programs and Exhibitions

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Abstract

Museums often evaluate various aspects of their audiences' experiences, be it what they learn from a program or how they react to an exhibition. Each museum program or exhibition has its own set of goals, which can drive what an evaluator studies and how an evaluation evolves. When designing an evaluation, data collection methods are purposefully selected to provide the data needed to measure those goals and answer the evaluation questions at hand. This article provides an overview of the data collection methods commonly used in museum-related evaluations, informed by the work of the Building Informal Science Education (BISE) project.

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... In practice, for both visitor studies and evaluation, the museum sector relies on a wide range of qualitative and quantitative methods to conduct front-end, formative, and summative research (Lindauer, 2005;Screven, in Bitgood & Loomis, 2012). Surveys, interviews, video-recordings, observations of visitor behavior and monitoring of exhibits are some of the most common methods (Nelson & Cohn, 2015) but are limited by the ingenuity of the individual researcher (Hein, 1998) and there is no single, fixed approach to evaluation (Diamond et al., 2016). ...
... The second problem the MEUX Evaluation Method seeks to address is in relation to standardized and generalized evaluation results. Several authors have explored how a key limitation of evaluation reports is that they are solely focused on one particular exhibit or activity, utilizing individual methods and questions, which mean findings cannot be standardized or generalized into wider understandings of how visitors engage with exhibits (Fu et al., 2016;Nelson & Cohn, 2015;Peterman et al., 2020;Teasdale, 2022). Calls have been made for more standardizes approach (MacPherson et al., 2019;Ong & Ladenhead, 2015;Voiklis et al., 2023) and so the work presented here seeks to address such limitations. ...
... Another limitation of existing evaluation practices is that results are contextualized only within the exhibit or program that they are evaluating and thus their generalisability or use is limited (Fu et al., 2016;Peterman et al., 2020;Teasdale, 2022). Where there is no one fixed approach to evaluation (Diamond et al., 2016) with evaluation methods evolving depending on the particular goals of an exhibit (Nelson & Cohn, 2015), the outcome is that the evaluation only ever provides specific data tied to an exhibit, rather than more general understandings of visitor experience that can be carried from exhibition to exhibition. However, it is this general understanding that allows for the implementation of recommendations and streamlining of practices, and so without them, it is evident that the long-term impact of evaluation is limited. ...
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... Lima & Green (2017) (Benton, 2010;. For many years, researchers have provided a wealth of knowledge regarding best management practices for professionals in the museum industry (e.g., Ahmad et al., 2013;Nelson & Cohn, 2015). Recent management practices often involve evaluation of visitor AM and MM, with a focus on finding ways to enhance visitors' museum experiences and to fulfill the museum's mission (Storksdieck et al., 2006). ...
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Awareness-making (AM) describes a process by which visitors bring with them past experiences, knowledge, and ideas, all of which help them make sense of museum exhibits. Meaning-making (MM) is when museum visitors’ memories and experiences transform their museum experience into new knowledge and meaning. This article explores how AM elicits MM in museum visitors. I offer findings from a research study of a natural history museum exhibition called Minnesota Journeys, based on a moose natural habitat display and accompanying interactive touchscreen. The exhibition was developed in Minnesota by the Bell Museum of Natural History for all ages. I report findings from a mixed-methods study incorporating surveys (n=243) and interviews (n=30) with adult museum visitors. I found that moose biology and ecology were not well-known subjects for this audience. However, after visiting both the habitat display and touchscreen, most visitors learned to identify specific moose biology and ecology characteristics, such as behavior and habitat. Also, the exhibit was more likely to elicit MM for visitors who answered AM questions correctly or agreed to AM belief statements. This study demonstrates how in a natural history museum setting visitor awareness-making can facilitate visitor meaning-making.
... Nelson and Cohn [49] in a review of the museum programs' and exhibitions' evaluations before 2013 reports that 79% of the experiments use Interview, 60% observation and 55% survey for data collection. Cuncliffe et al. [29] provide an analysis on the advantages and disadvantages of each method category and they concluded that a combination of methods would be more effective. ...
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