C Prime - NOTHIGN IS SIGNIFICANT
2022-12-05
## id D.prime C.score Anxiety Depression Stress ADHD
## 1 SADP01 1.5109000 0.83405 14 18 18 35
## 2 SADP05 1.0802500 0.69785 25 23 26 56
## 3 SADP09 0.9512000 0.58595 28 31 41 60
## 4 SADP11 1.9284500 0.99565 16 22 27 62
## 5 SADP13 1.3711500 0.77985 38 40 47 63
## 6 SADP14 2.8855000 1.47420 28 20 26 49
## 7 SADP15 1.2820000 0.76685 15 14 14 48
## 8 SADP18 1.1553500 0.73520 14 14 20 54
## 9 SADP25 1.0196500 0.63560 18 42 27 36
## 10 SADP27 0.4636500 0.55330 44 48 42 53
## 11 SADP29 1.3057500 0.81030 28 25 31 57
## 12 SADP30 1.1747000 0.85790 16 19 15 36
## 13 SADP36 1.5314500 0.84430 19 15 21 40
## 14 SADP37 1.9480500 1.03690 18 18 22 31
## 15 SADP40 1.5944000 0.86010 14 14 14 36
## 16 SADP42 0.9199500 0.63345 25 34 29 38
## 17 SADP43 2.6623000 1.39405 16 14 16 36
## 18 SADP44 0.5044000 0.49025 46 23 51 73
## 19 SADP45 0.1105636 0.76565 34 33 45 68
## 20 SADP46 1.1947500 0.77085 15 11 18 53
## 21 SADP47 1.5266500 0.82620 7 9 11 67
## 22 SADP56 1.2330000 1.35450 15 10 12 45Correlation
Correlation Plot (Heat Map) showing the significance pair at alpha = 0.05
Those in Blue color is significant at alpha = 0.05.
Those in Blank/White color is NOT significant at alpha = 0.05.
In this plot, blue = positive relationship, red = negative relationship, the darker shade indicated a stronger relationship.
Depression - Stress - C score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3551 -0.1617 -0.0517 0.1081 0.5940
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.112667 0.116445 9.555 6.76e-09 ***
## Depression -0.011621 0.004656 -2.496 0.0214 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2343 on 20 degrees of freedom
## Multiple R-squared: 0.2375, Adjusted R-squared: 0.1994
## F-statistic: 6.23 on 1 and 20 DF, p-value: 0.02142##
## Call:
## lm(formula = Stress ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.2910 -4.6918 -0.2953 2.0064 24.6121
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.1367 4.0125 1.779 0.0905 .
## Depression 0.8370 0.1604 5.217 4.18e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 8.075 on 20 degrees of freedom
## Multiple R-squared: 0.5764, Adjusted R-squared: 0.5553
## F-statistic: 27.22 on 1 and 20 DF, p-value: 4.182e-05## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Depression + Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.21171 -0.14309 -0.08383 0.12336 0.60646
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.154689 0.125897 9.172 2.08e-08 ***
## Depression -0.006693 0.007187 -0.931 0.363
## Stress -0.005888 0.006519 -0.903 0.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2354 on 19 degrees of freedom
## Multiple R-squared: 0.2689, Adjusted R-squared: 0.1919
## F-statistic: 3.494 on 2 and 19 DF, p-value: 0.05102##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.00493 -0.01588 0.01 0.4720
## ADE -0.00669 -0.02376 0.00 0.1580
## Total Effect -0.01162 -0.01955 -0.01 0.0014 **
## Prop. Mediated 0.42410 -1.07685 1.54 0.4726
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Depression - Anxiety - C score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3551 -0.1617 -0.0517 0.1081 0.5940
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.112667 0.116445 9.555 6.76e-09 ***
## Depression -0.011621 0.004656 -2.496 0.0214 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2343 on 20 degrees of freedom
## Multiple R-squared: 0.2375, Adjusted R-squared: 0.1994
## F-statistic: 6.23 on 1 and 20 DF, p-value: 0.02142##
## Call:
## lm(formula = Anxiety ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.4696 -3.6516 -0.3479 3.4861 23.3156
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.2076 3.7650 1.914 0.069993 .
## Depression 0.6729 0.1505 4.470 0.000235 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.577 on 20 degrees of freedom
## Multiple R-squared: 0.4998, Adjusted R-squared: 0.4747
## F-statistic: 19.98 on 1 and 20 DF, p-value: 0.0002347## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Depression + Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.31854 -0.16090 -0.05901 0.10783 0.60547
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.123978 0.129788 8.660 5.06e-08 ***
## Depression -0.010565 0.006745 -1.566 0.134
## Anxiety -0.001569 0.007086 -0.221 0.827
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2401 on 19 degrees of freedom
## Multiple R-squared: 0.2395, Adjusted R-squared: 0.1594
## F-statistic: 2.991 on 2 and 19 DF, p-value: 0.07423##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.00106 -0.01014 0.03 0.8896
## ADE -0.01057 -0.04481 0.00 0.0672 .
## Total Effect -0.01162 -0.01967 -0.01 0.0008 ***
## Prop. Mediated 0.09087 -2.97197 1.11 0.8896
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Anxiety - Depression - C score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.25605 -0.15205 -0.08138 0.06355 0.67671
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.061134 0.127837 8.301 6.56e-08 ***
## Anxiety -0.009416 0.005191 -1.814 0.0847 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2487 on 20 degrees of freedom
## Multiple R-squared: 0.1413, Adjusted R-squared: 0.09834
## F-statistic: 3.29 on 1 and 20 DF, p-value: 0.08472##
## Call:
## lm(formula = Depression ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.111 -3.645 -1.629 3.577 22.684
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.9482 4.0918 1.454 0.161549
## Anxiety 0.7427 0.1662 4.470 0.000235 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.96 on 20 degrees of freedom
## Multiple R-squared: 0.4998, Adjusted R-squared: 0.4747
## F-statistic: 19.98 on 1 and 20 DF, p-value: 0.0002347## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Anxiety + Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.31854 -0.16090 -0.05901 0.10783 0.60547
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.123978 0.129788 8.660 5.06e-08 ***
## Anxiety -0.001569 0.007086 -0.221 0.827
## Depression -0.010565 0.006745 -1.566 0.134
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2401 on 19 degrees of freedom
## Multiple R-squared: 0.2395, Adjusted R-squared: 0.1594
## F-statistic: 2.991 on 2 and 19 DF, p-value: 0.07423##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.00785 -0.04552 0.00 0.062 .
## ADE -0.00157 -0.01196 0.04 0.893
## Total Effect -0.00942 -0.01660 0.00 0.066 .
## Prop. Mediated 0.83333 -2.81083 11.05 0.128
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Anxiety - Stress - C Score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.25605 -0.15205 -0.08138 0.06355 0.67671
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.061134 0.127837 8.301 6.56e-08 ***
## Anxiety -0.009416 0.005191 -1.814 0.0847 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2487 on 20 degrees of freedom
## Multiple R-squared: 0.1413, Adjusted R-squared: 0.09834
## F-statistic: 3.29 on 1 and 20 DF, p-value: 0.08472##
## Call:
## lm(formula = Stress ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.210 -3.133 -0.226 2.604 8.956
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.00329 2.40254 0.834 0.414
## Anxiety 1.07288 0.09756 10.998 6.25e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.674 on 20 degrees of freedom
## Multiple R-squared: 0.8581, Adjusted R-squared: 0.851
## F-statistic: 120.9 on 1 and 20 DF, p-value: 6.249e-10## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Anxiety + Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.2443 -0.1438 -0.1034 0.1606 0.5504
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.10301 0.12269 8.990 2.84e-08 ***
## Anxiety 0.01301 0.01300 1.001 0.3295
## Stress -0.02091 0.01123 -1.862 0.0781 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2346 on 19 degrees of freedom
## Multiple R-squared: 0.2738, Adjusted R-squared: 0.1974
## F-statistic: 3.582 on 2 and 19 DF, p-value: 0.04785##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.02243 -0.05874 0.00 0.082 .
## ADE 0.01301 -0.01187 0.05 0.347
## Total Effect -0.00942 -0.01658 0.00 0.065 .
## Prop. Mediated 2.38203 -6.06206 18.65 0.147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Stress - Depression - C score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.2097 -0.1610 -0.1039 0.1368 0.6236
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.123542 0.120968 9.288 1.08e-08 ***
## Stress -0.010497 0.004229 -2.482 0.022 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2346 on 20 degrees of freedom
## Multiple R-squared: 0.2355, Adjusted R-squared: 0.1973
## F-statistic: 6.162 on 1 and 20 DF, p-value: 0.02205##
## Call:
## lm(formula = Depression ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.7766 -2.8497 -1.4606 0.8225 18.7517
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.6540 3.7762 1.232 0.232
## Stress 0.6887 0.1320 5.217 4.18e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.325 on 20 degrees of freedom
## Multiple R-squared: 0.5764, Adjusted R-squared: 0.5553
## F-statistic: 27.22 on 1 and 20 DF, p-value: 4.182e-05## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Stress + Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.21171 -0.14309 -0.08383 0.12336 0.60646
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.154689 0.125897 9.172 2.08e-08 ***
## Stress -0.005888 0.006519 -0.903 0.378
## Depression -0.006693 0.007187 -0.931 0.363
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2354 on 19 degrees of freedom
## Multiple R-squared: 0.2689, Adjusted R-squared: 0.1919
## F-statistic: 3.494 on 2 and 19 DF, p-value: 0.05102##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.00461 -0.02074 0.00 0.1798
## ADE -0.00589 -0.01424 0.01 0.4740
## Total Effect -0.01050 -0.01755 0.00 0.0032 **
## Prop. Mediated 0.43907 -0.33859 3.00 0.1826
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Stress - Anxiety - C score – NOT SIGNIFICANT
##
## Call:
## lm(formula = C.score ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.2097 -0.1610 -0.1039 0.1368 0.6236
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.123542 0.120968 9.288 1.08e-08 ***
## Stress -0.010497 0.004229 -2.482 0.022 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2346 on 20 degrees of freedom
## Multiple R-squared: 0.2355, Adjusted R-squared: 0.1973
## F-statistic: 6.162 on 1 and 20 DF, p-value: 0.02205##
## Call:
## lm(formula = Anxiety ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.1725 -3.0252 0.4271 2.3752 8.8302
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.57757 2.08044 0.758 0.457
## Stress 0.79981 0.07273 10.998 6.25e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.035 on 20 degrees of freedom
## Multiple R-squared: 0.8581, Adjusted R-squared: 0.851
## F-statistic: 120.9 on 1 and 20 DF, p-value: 6.249e-10## dv ~ iv + m##
## Call:
## lm(formula = C.score ~ Stress + Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.2443 -0.1438 -0.1034 0.1606 0.5504
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.10301 0.12269 8.990 2.84e-08 ***
## Stress -0.02091 0.01123 -1.862 0.0781 .
## Anxiety 0.01301 0.01300 1.001 0.3295
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2346 on 19 degrees of freedom
## Multiple R-squared: 0.2738, Adjusted R-squared: 0.1974
## F-statistic: 3.582 on 2 and 19 DF, p-value: 0.04785##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME 0.01041 -0.00964 0.04 0.3372
## ADE -0.02091 -0.05111 0.00 0.0774 .
## Total Effect -0.01050 -0.01754 0.00 0.0042 **
## Prop. Mediated -0.99148 -5.59052 1.39 0.3414
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000