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is between .0 Index (TLI) discrepancy east four items with salient loadings on each of the factors (see Table 2). A total of 33 scale items loaded onto the four domains. The Root Mean Square Error of approxima- tion (RMSEA) of less than .05 is good and acceptable if it 5 and .08 (Fabrigar et al. 1999). The RMSEA for the four factor solution was .069, suggesting acceptable fit. The Comparative Fit Index (CFI) and the Tucker Lewis are indicators of model fit by evaluating the between observed data and the hypothesized model, and ideal solutions are above .9 (Bentler 1990). For the four .77; however. factor solution, the CFI was .79 and TLI was the four factors appeared consistent with the hypothesized domains (see Table 3 and “Discussion” sec- tion): (1) physical environment and engagement in leisure

Table 2 is between .0 Index (TLI) discrepancy east four items with salient loadings on each of the factors (see Table 2). A total of 33 scale items loaded onto the four domains. The Root Mean Square Error of approxima- tion (RMSEA) of less than .05 is good and acceptable if it 5 and .08 (Fabrigar et al. 1999). The RMSEA for the four factor solution was .069, suggesting acceptable fit. The Comparative Fit Index (CFI) and the Tucker Lewis are indicators of model fit by evaluating the between observed data and the hypothesized model, and ideal solutions are above .9 (Bentler 1990). For the four .77; however. factor solution, the CFI was .79 and TLI was the four factors appeared consistent with the hypothesized domains (see Table 3 and “Discussion” sec- tion): (1) physical environment and engagement in leisure

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Minimal demographic data missing Results Table 1 Demographics for survey respondents in phase 2 and 3
Minimal demographic data missing Results Table 1 Demographics for survey respondents in phase 2 and 3
Fig. 1 Methods for scale development and assessment of psychomet- rics After the first pilot with 51 respondents, 21 items were removed for restricted variance (< 20% responding with the top two or bottom two choices), and four were removed for collinearity (> .7 in a correlation matrix). Of the remaining 50 items, the overall Cronbach’s Alpha was .95. Cronbach’s
Fig. 1 Methods for scale development and assessment of psychomet- rics After the first pilot with 51 respondents, 21 items were removed for restricted variance (< 20% responding with the top two or bottom two choices), and four were removed for collinearity (> .7 in a correlation matrix). Of the remaining 50 items, the overall Cronbach’s Alpha was .95. Cronbach’s
Table 3 Scale domains and associated number of items with salient loadings
Table 3 Scale domains and associated number of items with salient loadings
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