2017
DOI: 10.18666/jorel-2017-v9-i4-7959
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Beyond Composite Scores and Cronbach’s Alpha: Advancing Methodological Rigor in Recreation Research

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Cited by 7 publications
(5 citation statements)
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“…The point of this article is to provide an example from adventure education research that illustrates how more advanced methodologies and statistical analyses can provide a more complex assessment of change on a given variable. Gagnon et al (2017) state, "More simply, the analytic approaches necessary to tell the story of leisure and recreation research are a moving target, likely requiring a career-long commitment to methodological training on the part of researchers at conceptual and applied levels. Researchers should not only be able to "do" the appropriate analyses for the question they are asking, but also (and arguably more important) be prepared to translate that story to the community of recreation and leisure practitioners they are charged with serving" (p. 400).…”
Section: Discussionmentioning
confidence: 99%
“…The point of this article is to provide an example from adventure education research that illustrates how more advanced methodologies and statistical analyses can provide a more complex assessment of change on a given variable. Gagnon et al (2017) state, "More simply, the analytic approaches necessary to tell the story of leisure and recreation research are a moving target, likely requiring a career-long commitment to methodological training on the part of researchers at conceptual and applied levels. Researchers should not only be able to "do" the appropriate analyses for the question they are asking, but also (and arguably more important) be prepared to translate that story to the community of recreation and leisure practitioners they are charged with serving" (p. 400).…”
Section: Discussionmentioning
confidence: 99%
“…Problematic item loadings (e.g., λ ≤ .4) were observed across several items that were reverse-coded. The rationale for reverse-coded items (e.g., variance improvement, maintaining respondent attention, reducing response bias) is beyond the scope of this study, but the primary outcome of reverse coding is nearly always measurement error (Gagnon, Stone, & Garst, 2017). With the removal of these items, the final CFA 44-item seven-factor model indicated close fit, S/B χ 2 (864) = 1,181.801, p ≤ .001, non-normed fit index [N-NFI] = .919, comparative fit index [CFI] = .926, root mean square error of approximation [RMSEA] = .045, 90% CI [.038, .051] (see Table 2).…”
Section: Methodsmentioning
confidence: 99%
“…However, the support for many current measures and the techniques underpinning their "validity" are somewhat suspect. Specifically, many measures of outcomes associated with the broader OST field reflect outdated techniques for justifying their validity (Gagnon, Stone, & Garst, 2017) and can result in a misalignment of what the scales purport to measure when compared with what they actually measure. For instance, a common approach is the utilization of composite scores for assessing camp-related outcomes; indeed, the author team has utilized similar techniques within OST and camp settings (Gagnon & Bumpus, 2016;Garst, Baughman, Franz, & Seidel, 2013).…”
Section: Journal Of Outdoor Recreation Education and Leadershipmentioning
confidence: 99%
“…For instance, a common approach is the utilization of composite scores for assessing camp-related outcomes; indeed, the author team has utilized similar techniques within OST and camp settings (Gagnon & Bumpus, 2016;Garst, Baughman, Franz, & Seidel, 2013). Further, escalating expectations for methodological rigor within the broader social sciences have highlighted limitations of composite-score-based validation approaches (Freire & Caldwell, 2013;Gagnon et al, 2017). The fundamental challenge embedded within composite-score approaches (i.e., summing the items composing a subscale and dividing this sum by the number of items to create a composite score) is the assumption that items composing the composite are measured error-free (Gagnon et al, 2017), whereas more contemporary approaches such as confirmatory factor analyses (CFA) do not assume perfect measurement (Brown, 2015).…”
Section: Journal Of Outdoor Recreation Education and Leadershipmentioning
confidence: 99%
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