Time to Check EMA Analyses
Emily Moraes
2/5/2021
Density Plots
Mixed Effect Models
# Notes
Density Plots
Time to Check summary stats
| vars | n | mean | sd | min | max | range | se | |
|---|---|---|---|---|---|---|---|---|
| X1 | 1 | 815 | 92.12025 | 489.3706 | 1 | 9300 | 9299 | 17.1419 |
- 11% of ttc’s were above 100 mins (101-9300 mins)
##
## Call:
## lm(formula = TimetoCheck ~ Exam.., data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -153.3 -79.9 -57.6 -44.0 9145.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 60.957 35.832 1.701 0.0893 .
## Exam..2 93.360 48.331 1.932 0.0537 .
## Exam..3 1.616 48.778 0.033 0.9736
## Exam..4 20.940 50.811 0.412 0.6804
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 488.7 on 811 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.006506, Adjusted R-squared: 0.002831
## F-statistic: 1.77 on 3 and 811 DF, p-value: 0.1513
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ Exam.. + Q253 + (1 | id)
## Data: df
##
## REML criterion at convergence: 12348.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.8242 -0.2026 -0.0803 -0.0061 18.0828
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 26571 163.0
## Residual 212921 461.4
## Number of obs: 815, groups: id, 184
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 272.611 88.643 445.620 3.075 0.00223 **
## Exam..2 104.286 46.108 622.750 2.262 0.02406 *
## Exam..3 26.646 47.064 653.679 0.566 0.57147
## Exam..4 46.675 49.322 657.956 0.946 0.34432
## Q253 -3.063 1.176 396.366 -2.604 0.00956 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Exm..2 Exm..3 Exm..4
## Exam..2 -0.252
## Exam..3 -0.156 0.541
## Exam..4 -0.108 0.518 0.528
## Q253 -0.914 -0.034 -0.133 -0.172Mixed Effect Models
PTQ
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ PTQscore + (1 | id)
## Data: df
##
## REML criterion at convergence: 11711.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.3338 -0.1550 -0.1033 -0.0521 18.9893
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 14287 119.5
## Residual 209135 457.3
## Number of obs: 774, groups: id, 183
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 26.316 37.011 99.644 0.711 0.4787
## PTQscore 2.745 1.568 101.784 1.750 0.0831 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## PTQscore -0.859PHQ
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ DEPscore + (1 | id)
## Data: df
##
## REML criterion at convergence: 12386.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.7339 -0.1423 -0.1217 -0.0967 18.2655
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 25831 160.7
## Residual 216218 465.0
## Number of obs: 815, groups: id, 184
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 103.070 27.749 157.526 3.714 0.000282 ***
## DEPscore -1.084 3.791 327.333 -0.286 0.775039
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## DEPscore -0.677GAD
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ GADscore + (1 | id)
## Data: df
##
## REML criterion at convergence: 12386.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.6726 -0.1429 -0.1202 -0.0927 18.2647
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 24468 156.4
## Residual 217091 465.9
## Number of obs: 815, groups: id, 184
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 86.584 28.082 167.178 3.083 0.0024 **
## GADscore 2.306 4.115 319.041 0.560 0.5756
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## GADscore -0.693Grade Predictions
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ Q253 + (1 | id)
## Data: df
##
## REML criterion at convergence: 12382.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.8281 -0.1644 -0.0922 -0.0454 18.1872
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 25845 160.8
## Residual 214187 462.8
## Number of obs: 815, groups: id, 184
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 320.657 85.668 387.504 3.743 0.000209 ***
## Q253 -3.087 1.152 407.705 -2.679 0.007684 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Q253 -0.971
Interaction: Grade prediction * PTQ Score
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: TimetoCheck ~ Q253 * PTQscore + (1 | id)
## Data: df
##
## REML criterion at convergence: 11694.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2114 -0.1399 -0.0778 -0.0114 18.3874
##
## Random effects:
## Groups Name Variance Std.Dev.
## id (Intercept) 23086 151.9
## Residual 198214 445.2
## Number of obs: 774, groups: id, 183
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -320.8793 170.6544 388.1042 -1.880 0.060818 .
## Q253 4.7645 2.2710 392.0147 2.098 0.036544 *
## PTQscore 31.7238 7.9036 470.5712 4.014 6.95e-05 ***
## Q253:PTQscore -0.3972 0.1059 474.0130 -3.751 0.000198 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) Q253 PTQscr
## Q253 -0.974
## PTQscore -0.857 0.839
## Q253:PTQscr 0.833 -0.856 -0.978Notes
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