Development and Psychometric Analysis of Internet Addiction Predict Test for Adolescents

Objective: To develop Internet Addiction Predict Test (IAPT) for Adolescents. Methods: 2620 middle school students(1319 boys,1301 girls,mean of age 15.1±1.7 years) were divided into IA group and CONTROL group according to Internet Addiction Test. Items were collected with significant difference (P0.01) and higher discrimination (D0.20) between the two groups from SDQ,EPQ,SCARED,SES and ATMD,and reconciled,screened and encoded,and then a draft of IAPT was formed. IAPT draft and IAT were used to investigate 1363 students(709 boys,604 girls,mean of age 13.69±0.95 years) to verify the IAPT’s reliability and validity. Results: The model of IAPT( 5 factors and 56 items) was clear and stable and its construct validity was receptible (df/n=2.5,NFI=0.84,NNFI=0.88 RMSEA=0.046). Its reliability (Cronbach α=0.72,and re-test reliability=0.61,P0.001) was satisfactory. The correlation coefficients between predictable object (IAT) and IAPT and its factors were 0.35-0.60. The retest reliability after six months was 0.61,P0.001. The difference of IAPT and its factors between IA and CONTROL group was significant(t=6.8-13.2,P0.001;Cohen’s d=0.51-1.150.5). When the score of IAPT was 39,the Youden index was the biggest(0.62),the true positive fraction(TPF) was 0.83 and false positive fraction(FPF) was 0.21,and correct frequency was 0.80. Conclusion: The IAPT has good reliability and validity. And it could be used to predict adolescents' Internet addiction.