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. Author manuscript; available in PMC: 2010 Mar 1.
Published in final edited form as: Health Psychol. 2009 Mar;28(2):217–225. doi: 10.1037/a0012989

Table 2.

Summary information from conditional growth models for sun protection behavior, pros of protection, pros of exposure and decisional balance.

Latent Means (SE) Tests of Model Fit Treatment Effects

Model Intercept Slope χ2(df) CFI RMSEA Intercept Slope
Model 1: Sun protection behavior 22.68* .269* 24.84 (6) .980 .062 B = .127 B = .635*
(.233) (.127) p = .0004 β = .019 β = .288
R2 = 0.0 R2 = .083
Model 2: Pros of protection 14.03* .547* 18.75 (6) .987 .051 B = 1.06* B = .063
(.173) (.099) p = .0026 β = .197 β = .028
R2 = .039 R2 = .001
Model 3: Pros of exposure 9.07* .326* 128.99 (5) .885 .174 B = -.235 B = .142
(.188) (.107) p < .0001 β = -.041 β = .048
R2 = .002 R2 = .002
Model 4: Decisional balance 5.50* -.197 50.41 (6) .962 .085 B = -.073 B = 1.55*
(.244) (.133) p < .0001 β = -.010 β = .585
R2 = 0.0 R2 = .342

Note. SE = standard error, CFI = comparative fit index, RMSEA = root mean square error of approximation, B = unstandardized regression weight, β = standardized regression weight, R2 = proportion of explained variance. Treatment coded as 1 = sunsmart, 0 = control.

*

p < .05.