Running head: THE MEANING AND DOING OF MINDFULNESS
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1 Running head: THE MEANING AND DOING OF MINDFULNESS Supplementary Materials Fully latent SEM version of model 1 Supplementary Fig 1 outlines the direct effects for the fully latent equivalent to the path analysis model 1. Supplementary Table 2 outlines the indirect effects. The fit criteria was assessed as acceptable based on multiple fit indices as recommended by Hoyle and Panter (1995): the chi-square (χ2) statistic, Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Standardized Root Mean Square Residual (SRMR). The latter three indices were chosen because unlike χ2, they are not influenced by deviations from multivariate normality (Hu & Bentler, 1998, 1999). Cut offs indicative of a reasonably good fit as recommended by Kline (2005), that is a CFI > 0.90, RMSEA <.06 and SRMR <.09. The fit of the fully latent model was acceptable: X! 1240 = , p <. 001, RMSEA = 0.05 CI 90:.04.05, CFI =.91, SRMR =.05, after correlating the residuals of the following item pairs: Values-progress items 4 with 5 and 6 with 1, Values-obstruction items 1 with 6 and 10, MAAS items 5 with 1 and 4 and 3 with 2; PANAS items 7 with 20,8 with 11, 6 with 13 and 3 with 9. The R 2 statistics indicated that the model explained 64% of variance in Positive affect, 45 % in Negative affect, 60% in Satisfaction with life, 33 % in Values-progress and 37% in Values-obstruction.
2 2 Supplementary Fig 1. Standardized (XY) direct effects of latent SEM model 1. Circles indicate latent variables. Only significant paths are included. * p <.05, **p <.01, *** p <.001, + p <.10 Supplementary Table 2 Indirect effects for the latent SEM model equivalent to model 1. SWLS Negative Affect Positive Affect From MAAS via Values progress.33 (.03) ***. < (.03)* (.04)*** <.001 via Values.15 (.03)***. < (.05)*** < (.03)**.013 obstruction Direct effects -.04 (.05) (.05) (.04).667 β = standardized beta; SE = Standard error *** p <.001, ** p <.01, * p <.05.
3 3 Fully latent version of model 2 Supplementary Fig 2 outlines the direct effects for the fully latent model equivalent to the path analysis model 2. Supplementary Table 2 outlines the indirect effects. The fit of the fully latent model was acceptable: X! 1581 = , p <. 001, RMSEA = 0.05 CI 90:.05.06, CFI =.90, SRMR =.07 after correlating the following sets of residuals: Values-progress items 4 with 5, Values-obstruction items 6 with 1, Acting with awareness items 8 with 3, 20 with 17, 14, and 23, and 23 with 14, and Flourishing items 8 with 3. Supplementary Fig 2. Standardized (XY) direct effects of latent SEM model 2. Non-significant paths with large effect sizes are included to allow comparisons with the path analysis model. Paths from age and gender are not included in the diagram for simplicity. p <.05, **p <.01, *** p <.001, + p <.10
4 4 Supplementary Table 2 Indirect and direct effects for the latent SEM model equivalent to model 2. Flourishing Negative experiences Positive experiences From Acting Aware via Values-progress.30 (.06) ***. < (.05)* (.05) ***. 001 via Values-obstruction.22 (.14) (.18) (.21)*.037 Direct effects -.12 (.12) (.17) (.20)*.040 From Non-judging via Values-progress.09 (.05) (.02) (.03).088 Via Values-obstruction.05 (.03) (.04) (.05).092 Direct effects -.02 (.05) (.07) (.08).981 β = standardized beta; SE = Standard error *** p <.001, ** p <.01, * p <.05. Model 2b: Path analysis of model 2 without Non-judging variable Model 2b is identical to model 2 but excluding the Non-judging variable. Supplementary Figure 3 shows standardized parameters of direct effects and Supplementary Table 3 the standardized indirect effects. Supplementary Figure 3 Standardized (XY) direct effects for path analysis model 2b (with the Non-judging variable removed). Only significant paths are included and paths that are significant to p <.10 comprised of light broken lines. * p <.05, **p <.01, *** p <.001, + p <.10
5 5 Supplementary Table 3 Standardized (XY) indirect effects for model 2b Flourishing Negative experiences Positive experiences From Acting Aware via Values-progress.21 (.04) ***. < (.03)* (.04)*** <.001 via Values-obstruction.18 (04)*** < (.06)*** < (.06)** <.001 Direct effects -.03 (.06) (.08) (.08)**.079 β = standardized beta. *** p <.001, ** p <.01, * p <.05 References Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications (pp ). Thousand Oaks, CA: Sage Publications. Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), Kline, R. B. (2005). Principles and practice of structural equation modeling. New York, NY: Guilford Press.
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