##Descriptives

## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: SelfJudge10
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: SelfJudge11
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: SelfJudge12
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PControl9
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PControl10
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PControl11
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PControl12
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PAuthor11
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PSupport10
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PSupport11
## Breusch-Pagan Test of Heteroskedasticity suggests `var.equal = FALSE` in t.test() for: PSupport12
. Male Female P.Value
n = 1337 n = 1332
SelfKind9 0.219
3.1 (0.9) 3.1 (0.8)
SelfKind10 <.001
3.2 (0.9) 3.0 (0.9)
SelfKind11 <.001
3.1 (0.8) 3.0 (0.9)
SelfKind12 0.36
3.1 (0.8) 3.1 (0.9)
Mindful9 0.005
3.4 (0.9) 3.2 (0.9)
Mindful10 <.001
3.4 (0.9) 3.2 (0.9)
Mindful11 <.001
3.4 (0.9) 3.2 (0.9)
Mindful12 0.001
3.5 (0.9) 3.3 (0.9)
ComHuman9 0.976
3.0 (0.9) 3.0 (0.9)
ComHuman10 0.013
3.0 (0.9) 2.9 (0.9)
ComHuman11 0.008
3.0 (0.9) 2.9 (0.9)
ComHuman12 0.305
3.1 (0.9) 3.1 (0.9)
SelfJudge9 <.001
2.8 (1.0) 3.1 (1.0)
SelfJudge10 <.001
2.8 (1.0) 3.3 (1.1)
SelfJudge11 <.001
2.9 (1.0) 3.3 (1.1)
SelfJudge12 <.001
2.9 (1.0) 3.3 (1.1)
OverIdentify9 <.001
2.8 (1.0) 3.2 (1.0)
OverIdentify10 <.001
3.0 (1.0) 3.4 (0.9)
OverIdentify11 <.001
3.0 (1.0) 3.4 (1.0)
OverIdentify12 <.001
3.0 (1.0) 3.4 (1.0)
Isolate9 <.001
3.0 (1.0) 3.3 (0.9)
Isolate10 <.001
3.1 (1.0) 3.4 (1.0)
Isolate11 <.001
3.2 (1.0) 3.5 (1.0)
Isolate12 <.001
3.0 (1.0) 3.4 (1.0)
PMonitor9 <.001
2.4 (0.5) 2.5 (0.5)
PMonitor10 <.001
2.4 (0.5) 2.5 (0.5)
PMonitor11 0.019
2.4 (0.5) 2.5 (0.5)
PMonitor12 0.01
2.4 (0.5) 2.5 (0.5)
PControl9 <.001
1.6 (0.5) 1.7 (0.5)
PControl10 <.001
1.6 (0.5) 1.7 (0.5)
PControl11 <.001
1.6 (0.5) 1.7 (0.5)
PControl12 <.001
1.7 (0.5) 1.8 (0.5)
PAuthor9 0.017
3.5 (0.8) 3.6 (0.8)
PAuthor10 0.025
3.6 (0.8) 3.6 (0.8)
PAuthor11 0.576
3.6 (0.8) 3.6 (0.8)
PAuthor12 0.357
3.7 (0.8) 3.7 (0.8)
PSupport9 0.091
4.6 (1.2) 4.5 (1.3)
PSupport10 0.001
4.7 (1.2) 4.5 (1.3)
PSupport11 0.017
4.5 (1.2) 4.4 (1.3)
PSupport12 0.04
4.7 (1.0) 4.6 (1.2)
GenderFem <.001
Male 1,337 (100%) 0 (0%)
Female 0 (0%) 1,332 (100%)
NA 0 (0%) 0 (0%)

Preliminary correlations

## corx(data = acsReduced, x = c(PMonitor9, PMonitor10, PMonitor11, 
##     PMonitor12, PControl9, PControl10, PControl11, PControl12, 
##     PAuthor9, PAuthor10, PAuthor11, PAuthor12, PSupport9, PSupport10, 
##     PSupport11, PSupport12), y = c(SelfKind9, SelfKind10, SelfKind11, 
##     SelfKind12), z = NULL, method = c("pearson", "spearman", 
##     "kendall"), stars = c(0.05, 0.01, 0.001), adjust_p = c("none"), 
##     round = 2, remove_lead = TRUE, triangle = NULL, caption = NULL, 
##     note = NULL, describe = FALSE, grey_nonsig = TRUE, call_only = FALSE)
## 
## -----------------------------------------------------
##            SelfKind9 SelfKind10 SelfKind11 SelfKind12
## -----------------------------------------------------
## PMonitor9     .21***     .17***     .13***      .08**
## PMonitor10    .18***     .22***     .12***     .10***
## PMonitor11    .15***     .20***     .18***     .13***
## PMonitor12    .13***     .16***     .14***     .19***
## PControl9    -.20***    -.17***    -.17***     -.08**
## PControl10   -.21***    -.25***    -.23***    -.14***
## PControl11   -.19***    -.27***    -.28***    -.19***
## PControl12   -.16***    -.21***    -.20***    -.21***
## PAuthor9      .30***     .25***     .19***     .12***
## PAuthor10     .29***     .34***     .25***     .16***
## PAuthor11     .24***     .31***     .34***     .20***
## PAuthor12     .23***     .22***     .28***     .25***
## PSupport9     .30***     .23***     .21***     .13***
## PSupport10    .26***     .39***     .30***     .21***
## PSupport11    .22***     .32***     .39***     .22***
## PSupport12    .20***     .24***     .27***     .27***
## -----------------------------------------------------
## Note. * p < 0.05; ** p < 0.01; *** p < 0.001
## corx(data = acsReduced, x = c(PMonitor9, PMonitor10, PMonitor11, 
##     PMonitor12, PControl9, PControl10, PControl11, PControl12, 
##     PAuthor9, PAuthor10, PAuthor11, PAuthor12, PSupport9, PSupport10, 
##     PSupport11, PSupport12), y = c(SelfJudge9, SelfJudge10, SelfJudge11, 
##     SelfJudge12), z = NULL, method = c("pearson", "spearman", 
##     "kendall"), stars = c(0.05, 0.01, 0.001), adjust_p = c("none"), 
##     round = 2, remove_lead = TRUE, triangle = NULL, caption = NULL, 
##     note = NULL, describe = FALSE, grey_nonsig = TRUE, call_only = FALSE)
## 
## ---------------------------------------------------------
##            SelfJudge9 SelfJudge10 SelfJudge11 SelfJudge12
## ---------------------------------------------------------
## PMonitor9     -.09***      -.08**     -.10***        -.05
## PMonitor10      -.06*     -.12***     -.12***      -.08**
## PMonitor11      -.07*     -.13***     -.11***       -.07*
## PMonitor12        .01     -.10***      -.08**     -.09***
## PControl9      .21***      .23***      .21***      .14***
## PControl10     .24***      .30***      .24***      .18***
## PControl11     .21***      .29***      .33***      .21***
## PControl12     .11***      .21***      .25***      .26***
## PAuthor9       -.06**      -.07**     -.10***        -.01
## PAuthor10      -.07**     -.14***     -.16***      -.08**
## PAuthor11     -.11***     -.16***     -.18***      -.09**
## PAuthor12        -.01     -.09***     -.13***     -.09***
## PSupport9     -.13***     -.16***     -.15***     -.12***
## PSupport10    -.14***     -.22***     -.24***     -.18***
## PSupport11    -.14***     -.22***     -.25***     -.17***
## PSupport12     -.09**     -.13***     -.17***     -.20***
## ---------------------------------------------------------
## Note. * p < 0.05; ** p < 0.01; *** p < 0.001

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.