Summary of the result for what I tested for

  1. IM t-test: Difference in ANXIETY between LOW and HI tiktok usage – SIGNIFICANT at alpha = 0.05
  2. IM t-test: Difference in DEPRESSION between LOW and HI tiktok usage – NOT SIGNIFICANT
  3. IM t-test: Difference in STRESS between LOW and HI tiktok usage – NOT SIGNIFICANT
  4. IM t-test: Difference in ADHD between LOW and HI tiktok usage – NOT SIGNIFICANT
  5. IM t-test: Difference in NEG-Accuracy between LOW and HI tiktok usage – SIGNIFICANT at alpha = 0.05
  6. IM t-test: Difference in NEU-Accuracy between LOW and HI tiktok usage – NOT SIGNIFICANT
  7. IM t-test: Difference in NEU-RT between LOW and HI tiktok usage – NOT SIGNIFICANT
  8. IM t-test: Difference in NEU-RT between LOW and HI tiktok usage – NOT SIGNIFICANT
  9. DM t-test: Difference in Accuracy between Neg and Neu trial – NOT SIGNIFICANT
  10. DM t-test: Difference in Reaction Time between Neg and Neu trial – NOT SIGNIFICANT

IM t-test: Difference in ANXIETY between LOW and HI tiktok usage – SIGNIFICANT at alpha = 0.05

## 
##  Two Sample t-test
## 
## data:  anxiety_raw by tiktok_group
## t = 2.2246, df = 24, p-value = 0.03577
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##   0.5833949 15.5704513
## sample estimates:
## mean in group High  mean in group Low 
##          16.538462           8.461538

Descriptive Stats for Anxiety in the two group

## # A tibble: 2 × 4
##   tiktok_group mean.anxiety    sd     n
##   <chr>               <dbl> <dbl> <int>
## 1 High                16.5  11.8     13
## 2 Low                  8.46  5.67    13

An independent t-test indicated that there is A SIGNIFICANT DIFFERENCE in anxiety between low tiktok (M = 8.46; SD = 5.67) and high tiktok usage (M = 16.53; SD = 11.80) among the student sample, t(24) = 2.22, p = 0.0358.

Visualization

IM t-test: Difference in DEPRESSION between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  depression_raw by tiktok_group
## t = 1.6033, df = 24, p-value = 0.122
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -1.768068 14.075760
## sample estimates:
## mean in group High  mean in group Low 
##          13.615385           7.461538

IM t-test: Difference in STRESS between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  stress_raw by tiktok_group
## t = 1.8832, df = 24, p-value = 0.07185
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -0.6496462 14.1881077
## sample estimates:
## mean in group High  mean in group Low 
##           19.07692           12.30769

IM t-test: Difference in ADHD between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  ADHD_raw by tiktok_group
## t = 1.9344, df = 24, p-value = 0.06493
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -0.5457393 16.8534316
## sample estimates:
## mean in group High  mean in group Low 
##           36.15385           28.00000

IM t-test: Difference in NEG-Accuracy between LOW and HI tiktok usage – SIGNIFICANT at alpha = 0.05

## 
##  Two Sample t-test
## 
## data:  NegACC by tiktok_group
## t = 2.2955, df = 24, p-value = 0.03074
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##   1.202559 22.634387
## sample estimates:
## mean in group High  mean in group Low 
##          21.177497           9.259024

Descriptive Stats for NegACC in the two group

## # A tibble: 2 × 4
##   tiktok_group mean.NegACC    sd     n
##   <chr>              <dbl> <dbl> <int>
## 1 High               21.2  18.1     13
## 2 Low                 9.26  4.89    13

An independent t-test indicated that IN NEGATIVE EMOTION TRIAL, there is A SIGNIFICANT DIFFERENCE in accuracy between low tiktok (M = 9.26; SD = 4.89) and high tiktok usage (M = 21.18; SD = 18.07) among the student sample, t(24) = 2.30, p = 0.0307.

Visualization

IM t-test: Difference in NEU-Accuracy between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  NeuACC by tiktok_group
## t = 0.95886, df = 24, p-value = 0.3472
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -5.314406 14.537163
## sample estimates:
## mean in group High  mean in group Low 
##           18.56131           13.94993

IM t-test: Difference in NEG-RT between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  Neg_RT by tiktok_group
## t = -1.1734, df = 24, p-value = 0.2522
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -113.30515   31.16938
## sample estimates:
## mean in group High  mean in group Low 
##          -151.4510          -110.3831

IM t-test: Difference in NEU-RT between LOW and HI tiktok usage – NOT SIGNIFICANT

## 
##  Two Sample t-test
## 
## data:  Neu_RT by tiktok_group
## t = -1.356, df = 24, p-value = 0.1877
## alternative hypothesis: true difference in means between group High and group Low is not equal to 0
## 95 percent confidence interval:
##  -110.68936   22.91058
## sample estimates:
## mean in group High  mean in group Low 
##          -151.5700          -107.6807

DM t-test: Difference in Accuracy between Neg and Neu trial – NOT SIGNIFICANT

## 
##  Paired t-test
## 
## data:  Accuracy by Trial
## t = -0.73951, df = 25, p-value = 0.4665
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
##  -3.926419  1.851696
## sample estimates:
## mean difference 
##       -1.037361

DM t-test: Difference in Reaction Time between Neg and Neu trial – NOT SIGNIFICANT

## 
##  Paired t-test
## 
## data:  Reaction.Time by Trial
## t = -0.13766, df = 25, p-value = 0.8916
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
##  -20.61650  18.03306
## sample estimates:
## mean difference 
##       -1.291718