Development of the Cybercrime Rapid Identification Tool for Adolescents
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Procedure
2.3. Measures
2.3.1. Brief Resilience Scale
2.3.2. Rosenberg Self-Esteem Scale
2.3.3. Positive and Negative Semantic Dimensions of Relationship Satisfaction Scale
2.3.4. Problematic Internet Use Questionnaire
3. Results
3.1. Development of the Cybercrime Rapid Identification Tool and Its Factorial Validity
3.2. Internal Consistency.
3.3. Concurrent Validity
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Ethics Approval and Consent to Participate
References
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Item | DOB | MCA |
---|---|---|
1. I have downloaded illegal software. | 0.77 | −0.05 |
2. I have spread false information in an Internet board. | 0.82 | 0.01 |
3. I have hacked other people’s computers or websites. | 0.83 | 0.01 |
4. I have used other people’s Internet ID or resident registration number without permission. | 0.71 | 0.06 |
5. In general, it is OK to take your anger out on others by using physical force. | 0.03 | 0.85 |
6. Teasing someone does not really hurt them. | −0.01 | 0.84 |
7. If things I do upset people, it’s their problem, not mine. | −0.07 | 0.87 |
8. I threaten others because then it’s me who decide. | 0.07 | 0.80 |
Factor/Question Number | Study 1 | Study 1 | Study 2 | |
---|---|---|---|---|
(Sample 2) | (Combo) | Sample 3 | ||
DOB | ||||
1 | λ1 | 0.70 | 0.71 | 0.56 |
2 | λ2 | 0.81 | 0.85 | 0.89 |
3 | λ3 | 0.90 | 0.89 | 0.96 |
4 | λ4 | 0.77 | 0.76 | 0.86 |
MCA | ||||
5 | λ5 | 0.85 | 0.86 | 0.67 |
6 | λ6 | 0.77 | 0.79 | 0.94 |
7 | λ7 | 0.76 | 0.78 | 0.80 |
8 | λ8 | 0.81 | 0.84 | 0.85 |
Latent factor covariance | ||||
DOB ~ MCA | φd,m | 0.61 | 0.61 | 0.87 |
Model fit | ||||
n | 766 | 1533 | 511 | |
RMSEA | 0.03 | 0.02 | 0.02 | |
RMSEA 90% CI | 0.02–0.05 | 0.01–0.03 | 0.00–0.04 | |
SRMR | 0.03 | 0.02 | 0.03 | |
χ2 (df = 19) | 30.22 | 36.24 | 21.23 | |
χ2/df | 1.59 | 1.91 | 1.12 | |
CFI | 0.99 | 0.99 | 0.99 | |
TLI | 0.99 | 0.99 | 0.99 |
Item | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
1 | – | 0.47 | 0.48 | 0.45 | 0.28 | 0.23 | 0.22 | 0.27 |
2 | 0.54 | – | 0.64 | 0.50 | 0.35 | 0.30 | 0.27 | 0.36 |
3 | 0.53 | 0.64 | – | 0.50 | 0.39 | 0.29 | 0.27 | 0.36 |
4 | 0.48 | 0.53 | 0.53 | – | 0.34 | 0.30 | 0.27 | 0.34 |
5 | 0.31 | 0.35 | 0.36 | 0.36 | – | 0.61 | 0.59 | 0.64 |
6 | 0.27 | 0.32 | 0.30 | 0.34 | 0.63 | – | 0.58 | 0.56 |
7 | 0.24 | 0.29 | 0.28 | 0.30 | 0.59 | 0.58 | – | 0.58 |
8 | 0.30 | 0.37 | 0.37 | 0.37 | 0.65 | 0.58 | 0.59 | – |
Mean | 1.84 | 1.58 | 1.44 | 1.72 | 2.09 | 2.20 | 2.27 | 2.03 |
SD | 1.10 | 0.85 | 0.81 | 0.94 | 0.95 | 0.99 | 0.95 | 0.94 |
Skewness | 1.17 | 1.44 | 1.90 | 1.23 | 0.52 | 0.45 | 0.31 | 0.50 |
Kurtosis | 0.46 | 1.78 | 3.39 | 0.99 | −0.20 | −0.23 | −0.20 | −0.35 |
rit | 0.47 | 0.58 | 0.59 | 0.54 | 0.66 | 0.59 | 0.57 | 0.64 |
aiid | 0.87 | 0.86 | 0.86 | 0.86 | 0.85 | 0.85 | 0.85 | 0.85 |
Scale | CRIT | CRIT: DOB | CRIT: MCA |
---|---|---|---|
Problematic Internet Use Questionnaire | 0.27 | 0.23 | 0.26 |
Negative Semantic Dimension | 0.39 | 0.34 | 0.37 |
Positive Semantic Dimension | −0.29 | −0.24 | −0.29 |
Rosenberg Self-esteem | −0.15 | −0.13 | −0.15 |
Brief Resilience Scale | −0.18 | −0.17 | −0.16 |
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Wong, D.S.-w.; Fung, S.-f. Development of the Cybercrime Rapid Identification Tool for Adolescents. Int. J. Environ. Res. Public Health 2020, 17, 4691. https://doi.org/10.3390/ijerph17134691
Wong DS-w, Fung S-f. Development of the Cybercrime Rapid Identification Tool for Adolescents. International Journal of Environmental Research and Public Health. 2020; 17(13):4691. https://doi.org/10.3390/ijerph17134691
Chicago/Turabian StyleWong, Dennis Sing-wing, and Sai-fu Fung. 2020. "Development of the Cybercrime Rapid Identification Tool for Adolescents" International Journal of Environmental Research and Public Health 17, no. 13: 4691. https://doi.org/10.3390/ijerph17134691