D Prime - NOTHING 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 - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9398 -0.2793 -0.1285 0.1739 1.4806
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.95036 0.28779 6.777 1.37e-06 ***
## Depression -0.02727 0.01151 -2.370 0.028 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5792 on 20 degrees of freedom
## Multiple R-squared: 0.2193, Adjusted R-squared: 0.1802
## F-statistic: 5.617 on 1 and 20 DF, p-value: 0.02796##
## 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 = D.prime ~ Depression + Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.74877 -0.37274 -0.14840 0.07263 1.52018
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.08350 0.30682 6.791 1.75e-06 ***
## Depression -0.01166 0.01752 -0.665 0.514
## Stress -0.01866 0.01589 -1.174 0.255
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5738 on 19 degrees of freedom
## Multiple R-squared: 0.2721, Adjusted R-squared: 0.1955
## F-statistic: 3.551 on 2 and 19 DF, p-value: 0.04895##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.0156 -0.0444 0.03 0.3090
## ADE -0.0117 -0.0529 0.02 0.2432
## Total Effect -0.0273 -0.0474 -0.01 0.0034 **
## Prop. Mediated 0.5726 -1.4057 1.86 0.3076
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Depression - Anxiety - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9398 -0.2793 -0.1285 0.1739 1.4806
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.95036 0.28779 6.777 1.37e-06 ***
## Depression -0.02727 0.01151 -2.370 0.028 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5792 on 20 degrees of freedom
## Multiple R-squared: 0.2193, Adjusted R-squared: 0.1802
## F-statistic: 5.617 on 1 and 20 DF, p-value: 0.02796##
## 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 = D.prime ~ Depression + Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.8715 -0.3154 -0.1328 0.0761 1.5898
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.05772 0.31502 6.532 2.96e-06 ***
## Depression -0.01725 0.01637 -1.054 0.305
## Anxiety -0.01490 0.01720 -0.866 0.397
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5828 on 19 degrees of freedom
## Multiple R-squared: 0.2489, Adjusted R-squared: 0.1699
## F-statistic: 3.148 on 2 and 19 DF, p-value: 0.06592##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.0100 -0.0344 0.05 0.4934
## ADE -0.0172 -0.0773 0.01 0.1678
## Total Effect -0.0273 -0.0469 -0.01 0.0038 **
## Prop. Mediated 0.3676 -1.9917 1.58 0.4936
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Anxiety - Depression - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9026 -0.3295 -0.2052 0.1205 1.7061
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.95513 0.30041 6.508 2.41e-06 ***
## Anxiety -0.02771 0.01220 -2.271 0.0343 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5844 on 20 degrees of freedom
## Multiple R-squared: 0.205, Adjusted R-squared: 0.1653
## F-statistic: 5.159 on 1 and 20 DF, p-value: 0.03433##
## 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 = D.prime ~ Anxiety + Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.8715 -0.3154 -0.1328 0.0761 1.5898
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.05772 0.31502 6.532 2.96e-06 ***
## Anxiety -0.01490 0.01720 -0.866 0.397
## Depression -0.01725 0.01637 -1.054 0.305
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5828 on 19 degrees of freedom
## Multiple R-squared: 0.2489, Adjusted R-squared: 0.1699
## F-statistic: 3.148 on 2 and 19 DF, p-value: 0.06592##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.0128 -0.0785 0.01 0.179
## ADE -0.0149 -0.0422 0.06 0.479
## Total Effect -0.0277 -0.0478 0.00 0.044 *
## Prop. Mediated 0.4623 -1.0072 5.83 0.222
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Anxiety - Stress - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9026 -0.3295 -0.2052 0.1205 1.7061
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.95513 0.30041 6.508 2.41e-06 ***
## Anxiety -0.02771 0.01220 -2.271 0.0343 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5844 on 20 degrees of freedom
## Multiple R-squared: 0.205, Adjusted R-squared: 0.1653
## F-statistic: 5.159 on 1 and 20 DF, p-value: 0.03433##
## 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 = D.prime ~ Anxiety + Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.69475 -0.34515 -0.18738 0.08444 1.51344
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.018999 0.303163 6.660 2.28e-06 ***
## Anxiety 0.006499 0.032126 0.202 0.842
## Stress -0.031881 0.027738 -1.149 0.265
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5798 on 19 degrees of freedom
## Multiple R-squared: 0.2567, Adjusted R-squared: 0.1785
## F-statistic: 3.281 on 2 and 19 DF, p-value: 0.05969##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.0342 -0.1204 0.03 0.300
## ADE 0.0065 -0.0547 0.10 0.885
## Total Effect -0.0277 -0.0467 0.00 0.044 *
## Prop. Mediated 1.2346 -1.8570 8.74 0.343
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Stress - Depression - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.71794 -0.35071 -0.18655 0.09339 1.55001
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.02925 0.29164 6.958 9.38e-07 ***
## Stress -0.02668 0.01020 -2.617 0.0165 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5657 on 20 degrees of freedom
## Multiple R-squared: 0.2551, Adjusted R-squared: 0.2179
## F-statistic: 6.85 on 1 and 20 DF, p-value: 0.0165##
## 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 = D.prime ~ Stress + Depression, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.74877 -0.37274 -0.14840 0.07263 1.52018
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.08350 0.30682 6.791 1.75e-06 ***
## Stress -0.01866 0.01589 -1.174 0.255
## Depression -0.01166 0.01752 -0.665 0.514
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5738 on 19 degrees of freedom
## Multiple R-squared: 0.2721, Adjusted R-squared: 0.1955
## F-statistic: 3.551 on 2 and 19 DF, p-value: 0.04895##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME -0.00803 -0.04949 0.01 0.244
## ADE -0.01866 -0.03878 0.03 0.309
## Total Effect -0.02668 -0.04436 -0.01 0.012 *
## Prop. Mediated 0.30084 -0.64925 3.75 0.256
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000
Stress - Anxiety - D Prime – NOT SIGNIFICANT
##
## Call:
## lm(formula = D.prime ~ Stress, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.71794 -0.35071 -0.18655 0.09339 1.55001
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.02925 0.29164 6.958 9.38e-07 ***
## Stress -0.02668 0.01020 -2.617 0.0165 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5657 on 20 degrees of freedom
## Multiple R-squared: 0.2551, Adjusted R-squared: 0.2179
## F-statistic: 6.85 on 1 and 20 DF, p-value: 0.0165##
## 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 = D.prime ~ Stress + Anxiety, data = dc[, -1])
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.69475 -0.34515 -0.18738 0.08444 1.51344
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.018999 0.303163 6.660 2.28e-06 ***
## Stress -0.031881 0.027738 -1.149 0.265
## Anxiety 0.006499 0.032126 0.202 0.842
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5798 on 19 degrees of freedom
## Multiple R-squared: 0.2567, Adjusted R-squared: 0.1785
## F-statistic: 3.281 on 2 and 19 DF, p-value: 0.05969##
## Causal Mediation Analysis
##
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
##
## Estimate 95% CI Lower 95% CI Upper p-value
## ACME 0.0052 -0.0444 0.08 0.887
## ADE -0.0319 -0.1087 0.02 0.308
## Total Effect -0.0267 -0.0443 -0.01 0.013 *
## Prop. Mediated -0.1948 -4.1352 2.54 0.897
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Sample Size Used: 22
##
##
## Simulations: 10000