#Results of an ANOVA examining differences in emotional exhaustion by physical activity group (low, medium, high)
summary(anova1)## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 1866 622.0 3.133 0.0253 *
## Residuals 516 102449 198.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova1)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Burnout_EE ~ PA_level, data = b)
##
## $PA_level
## diff lwr upr p adj
## Low-High 3.6206897 -1.034918 8.27629704 0.1876141
## Mod-High -0.4509091 -4.336854 3.43503552 0.9906960
## NA-High 22.0000000 -14.459045 58.45904466 0.4053362
## Mod-Low -4.0715987 -8.092362 -0.05083596 0.0458708
## NA-Low 18.3793103 -18.094350 54.85297078 0.5641062
## NA-Mod 22.4509091 -13.932518 58.83433651 0.3849595#Results of an ANOVA examining differences in depersonalization by physical activity group (low, medium, high)
summary(anova2)## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 95 31.76 0.713 0.545
## Residuals 516 22982 44.54TukeyHSD(anova2)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Burnout_DP ~ PA_level, data = b)
##
## $PA_level
## diff lwr upr p adj
## Low-High 0.02774784 -2.177292 2.232788 0.9999877
## Mod-High -0.46156250 -2.302066 1.378941 0.9168009
## NA-High 7.89843750 -9.369698 25.166573 0.6404638
## Mod-Low -0.48931034 -2.393668 1.415048 0.9111902
## NA-Low 7.87068966 -9.404368 25.145747 0.6433754
## NA-Mod 8.36000000 -8.872320 25.592320 0.5950168#Results of an ANOVA examining differences in personal achievement by physical activity group (low, medium, high)summary(anova3)
summary(anova3)## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 1218 406.1 5.38 0.00118 **
## Residuals 516 38950 75.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1TukeyHSD(anova3)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Burnout_PA ~ PA_level, data = b)
##
## $PA_level
## diff lwr upr p adj
## Low-High -2.9684806 -5.8391073 -0.09785386 0.0395279
## Mod-High -0.5237784 -2.9198345 1.87227770 0.9428355
## NA-High -25.0546875 -47.5351718 -2.57420323 0.0219729
## Mod-Low 2.4447022 -0.0344822 4.92388659 0.0548997
## NA-Low -22.0862069 -44.5757032 0.40328939 0.0563899
## NA-Mod -24.5309091 -46.9647681 -2.09705008 0.0257329#ANCOVA—-
##Results of ANCOVA using gender as a covariate
##Female (1), Male (2), TGNC (3)
##Emotional Exhaustion
anova(ancova1)## Analysis of Variance Table
##
## Response: Burnout_EE
## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 1866 622.04 3.1485 0.02477 *
## Gender 2 900 449.95 2.2775 0.10358
## Residuals 514 101549 197.57
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Posthoc test in emotional exhaustion by gender
posthoc_EE_Gender## $lsmeans
## Gender lsmean SE df lower.CL upper.CL
## 1 28.9 3.64 514 21.8 36.1
## 2 27.7 3.58 514 20.7 34.8
## 3 37.4 5.86 514 25.9 48.9
##
## Results are averaged over the levels of: PA_level
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## Gender1 - Gender2 1.16 1.27 514 0.915 0.6310
## Gender1 - Gender3 -8.51 4.77 514 -1.782 0.1765
## Gender2 - Gender3 -9.67 4.77 514 -2.029 0.1063
##
## Results are averaged over the levels of: PA_level
## P value adjustment: tukey method for comparing a family of 3 estimates#Posthoc test in emotional exhaustion by physical activity group
posthoc_EE_PA## $lsmeans
## PA_level lsmean SE df lower.CL upper.CL
## High 25.0 1.93 514 21.2 28.8
## Low 28.4 1.99 514 24.4 32.3
## Mod 24.4 1.73 514 21.0 27.8
## NA 47.6 14.16 514 19.8 75.4
##
## Results are averaged over the levels of: Gender
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## High - Low -3.341 1.84 514 -1.817 0.2666
## High - Mod 0.589 1.52 514 0.387 0.9804
## High - NA -22.600 14.12 514 -1.601 0.3790
## Low - Mod 3.930 1.56 514 2.517 0.0585
## Low - NA -19.259 14.14 514 -1.362 0.5238
## Mod - NA -23.189 14.10 514 -1.645 0.3544
##
## Results are averaged over the levels of: Gender
## P value adjustment: tukey method for comparing a family of 4 estimates##Depersonalization
anova(ancova2)## Analysis of Variance Table
##
## Response: Burnout_DP
## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 95.3 31.756 0.7217 0.53933
## Gender 2 366.0 183.007 4.1592 0.01615 *
## Residuals 514 22616.1 44.000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Posthoc test in depersonalization by gender
posthoc_DP_Gender## $lsmeans
## Gender lsmean SE df lower.CL upper.CL
## 1 8.91 1.72 514 5.54 12.3
## 2 10.53 1.69 514 7.21 13.9
## 3 12.01 2.77 514 6.57 17.4
##
## Results are averaged over the levels of: PA_level
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## Gender1 - Gender2 -1.62 0.60 514 -2.702 0.0194
## Gender1 - Gender3 -3.09 2.25 514 -1.373 0.3558
## Gender2 - Gender3 -1.47 2.25 514 -0.654 0.7901
##
## Results are averaged over the levels of: PA_level
## P value adjustment: tukey method for comparing a family of 3 estimates#Posthoc test in depersonalization by PA group
posthoc_DP_PA## $lsmeans
## PA_level lsmean SE df lower.CL upper.CL
## High 8.54 0.912 514 6.75 10.3
## Low 9.05 0.939 514 7.20 10.9
## Mod 8.40 0.816 514 6.80 10.0
## NA 15.95 6.681 514 2.82 29.1
##
## Results are averaged over the levels of: Gender
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## High - Low -0.510 0.868 514 -0.588 0.9358
## High - Mod 0.136 0.719 514 0.190 0.9976
## High - NA -7.413 6.662 514 -1.113 0.6819
## Low - Mod 0.647 0.737 514 0.877 0.8166
## Low - NA -6.903 6.672 514 -1.035 0.7292
## Mod - NA -7.550 6.653 514 -1.135 0.6681
##
## Results are averaged over the levels of: Gender
## P value adjustment: tukey method for comparing a family of 4 estimates##Personal Achievement by Gender and PA Group
anova(ancova3)## Analysis of Variance Table
##
## Response: Burnout_PA
## Df Sum Sq Mean Sq F value Pr(>F)
## PA_level 3 1218 406.13 5.4773 0.001036 **
## Gender 2 838 419.07 5.6518 0.003733 **
## Residuals 514 38112 74.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Posthoc test in gender by PA group
posthoc_PA_Gender## $lsmeans
## Gender lsmean SE df lower.CL upper.CL
## 1 28.2 2.23 514 23.8 32.6
## 2 26.3 2.19 514 22.0 30.6
## 3 20.6 3.59 514 13.6 27.7
##
## Results are averaged over the levels of: PA_level
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## Gender1 - Gender2 1.92 0.779 514 2.467 0.0370
## Gender1 - Gender3 7.62 2.925 514 2.604 0.0256
## Gender2 - Gender3 5.69 2.921 514 1.949 0.1261
##
## Results are averaged over the levels of: PA_level
## P value adjustment: tukey method for comparing a family of 3 estimates#Posthoc test in personal achievement by PA group
posthoc_PA_PA## $lsmeans
## PA_level lsmean SE df lower.CL upper.CL
## High 32.32 1.18 514 30.0 34.6
## Low 28.75 1.22 514 26.4 31.1
## Mod 31.37 1.06 514 29.3 33.5
## NA 7.74 8.67 514 -9.3 24.8
##
## Results are averaged over the levels of: Gender
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## High - Low 3.565 1.127 514 3.164 0.0089
## High - Mod 0.944 0.933 514 1.012 0.7426
## High - NA 24.572 8.649 514 2.841 0.0241
## Low - Mod -2.620 0.957 514 -2.739 0.0322
## Low - NA 21.007 8.662 514 2.425 0.0736
## Mod - NA 23.628 8.636 514 2.736 0.0325
##
## Results are averaged over the levels of: Gender
## P value adjustment: tukey method for comparing a family of 4 estimates