Internet addiction and mobile phone addiction are both forms of technology addiction, and thus would be expected to show similarities and differences. This study investigated the association between the Internet Addiction Test (IAT) and the Mobile Phone Dependence Questionnaire (MPDQ) as a test of concurrent validity. Participants were 1,072 students aged between 9 and 18 years old (63% male and 37% female) from three primary schools and three secondary schools in Hong Kong. Correlations showed that scores on the two measures were moderately correlated, providing further evidence of each measure's validity. Confirmatory factor analysis that the IAT's factor structure was similar in both younger and older samples, suggesting that it is devel...
This study aimed to develop a test to determine the level of cellular addiction among college studen...
The present study investigated the prevalence and demographic correlates of Internet addiction in Ho...
This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale...
A full raw dataset for the following research study PONE-D-17-34552R1 The Concurrent Validity o...
Following the call to ensure the validity of instruments used to assess users’ level of Internet usa...
Objective This study examined the psychometric properties of the Young’s Internet Addiction Test (IA...
Internet addiction has been found to be prevalent worldwide, including Asian countries, and related ...
Many researchers have shown that the Internet users are at risk of developing an obsessive dependenc...
Background and aims: Smartphone addiction is a recent concern that has resulted from the dramatic in...
This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet an...
Objective: The present study investigated the prevalence and psychosocial correlates of Internet add...
BackgroundInternet addiction is a serious problem that can negatively impact both the physical and m...
The aim of this study was to develop the mobile phone addict scale, which was developed based on Mo...
Addiction to internet and mobile phone may be affecting all aspect of student’s life. Knowledge abou...
This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet an...
This study aimed to develop a test to determine the level of cellular addiction among college studen...
The present study investigated the prevalence and demographic correlates of Internet addiction in Ho...
This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale...
A full raw dataset for the following research study PONE-D-17-34552R1 The Concurrent Validity o...
Following the call to ensure the validity of instruments used to assess users’ level of Internet usa...
Objective This study examined the psychometric properties of the Young’s Internet Addiction Test (IA...
Internet addiction has been found to be prevalent worldwide, including Asian countries, and related ...
Many researchers have shown that the Internet users are at risk of developing an obsessive dependenc...
Background and aims: Smartphone addiction is a recent concern that has resulted from the dramatic in...
This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet an...
Objective: The present study investigated the prevalence and psychosocial correlates of Internet add...
BackgroundInternet addiction is a serious problem that can negatively impact both the physical and m...
The aim of this study was to develop the mobile phone addict scale, which was developed based on Mo...
Addiction to internet and mobile phone may be affecting all aspect of student’s life. Knowledge abou...
This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet an...
This study aimed to develop a test to determine the level of cellular addiction among college studen...
The present study investigated the prevalence and demographic correlates of Internet addiction in Ho...
This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale...