Psychometric Properties of the Persian Language Version of Yang Internet Addiction Questionnaire: An Explanatory Factor Analysis.
BACKGROUND
Reliability and validity are the key concepts in measurement processes. Young internet addiction test (YIAT) is regarded as a valid and reliable questionnaire in English speaking countries for diagnosis of Internet-related behavior disorders.


OBJECTIVE
This study aimed at validating the Persian version of YIAT in the Iranian society.


METHODS
A pilot and a cross-sectional study were conducted on 28 and 254 students of Qom University of Medical Sciences, respectively, in order to validate the Persian version of YIAT. Forward and backward translations were conducted to develop a Persian version of the scale. Reliability was measured by test-retest, Cronbach's alpha and interclass correlation coefficient (ICC). Face, content and construct validity were approved by the importance score index, content validity ratio (CVR), content validity index (CVI), correlation matrix and factor analysis. The SPSS software was used for data analysis.


RESULTS
The Cronbach's alpha was 0.917 (CI 95%; 0.901 - 0.931). The average of scale-level CVI was calculated to be 0.74; the CVI index for each item was higher than 0.83 and the average of CVI index was equal to 0.89. Factor analysis extracted three factors including personal activities disorder (PAD), emotional and mood disorder (EMD) and social activities disorder (SAD), with more than 55.8% of total variances. The ICC for different factors of Persian version of Young Questionnaire including PAD, EMD and for SAD was r = 0.884; CI 95%; 0.861 - 0.904, r = 0.766; CI 95%; 0.718 - 0.808 and r = 0.745; CI 95%; 0.686 - 0.795, respectively.


CONCLUSIONS
Our study showed that the Persian version of YIAT is good and usable on Iranian people. The reliability of the instrument was very good. Moreover, the validity of the Persian translated version of the scale was sufficient. In addition, the reliability and validity of the three extracted factors of YIAT were evaluated and were acceptable.
Department of Research Vice Chancellor, Health Policy and Promotion Research Center, Qom University of Medical Sciences, Qom, IR Iran.
Narges
N
Mohammadsalehi
Department of Epidemiology and Biostatistics, Health Policy and Promotion Research Center, School of Health, Qom University of Medical Sciences, Qom, IR Iran.
Abolfazl
A
Mohammadbeigi
Department of Education Development Center (EDC), Arak University of Medical Sciences, Arak, IR Iran.
Rahmatollah
R
Jadidi
Department of Education Development Center (EDC), Arak University of Medical Sciences, Arak, IR Iran.
Zohreh
Z
Anbari
Social Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, IR Iran.
Ebrahim
E
Ghaderi
School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Mojtaba
M
Akbari
Factor Analysis; Internet; Pychometrics; Reliability (Epidemiology)