scholarly journals Psychometric Properties of Young’s Internet Addiction Test in Nigeria

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Bede Chinonye Akpunne ◽  
Ebenezer Olutope Akinnawo ◽  
Oluseyi Abiodun Alakija ◽  
Daniel Oluwasanmi Kumuyi
Keyword(s):  
Psychometric Properties ◽  
Internet Addiction ◽  
Internet Usage ◽  
Assessment Instrument ◽  
Smartphone Addiction ◽  
Short Version ◽  
Usage Patterns ◽  
Nigerian Population ◽  
Use Of The Internet ◽  
Nigerian University

Background: In 2018, the Nigerian Communication Commission affirmed that more than 100 million Nigerians made use of the Internet. A good percentage of internet usage is maladaptive. A valid, reliable, and socio-culturally sensitive assessment instrument is essential to study internet usage patterns in Nigeria. Young’s Internet Addiction test (IAT) has been validated in many countries, but not in Nigeria. Objectives: This study aimed to validate IAT to determine psychometric properties acceptable in a Nigerian population. Methods: A total of 184 Nigerian University undergraduates (77 males and 107 females), mean age = 20.5, were purposively drawn, and they responded to IAT, the Smartphone Addiction Scale-Short Version (SAS-SV), and the Bergen Facebook Addiction Scale (BFAS). Results: The Cronbach’s α of the six IAT factors ranged from 0.25 (anticipation) to 0.69 (salience). The observed overall Cronbach’s α coefficient of 0.79 was obtained for IAT. The corrected item-total correlations ranged from 0.73 to 0.84. The concurrent validity score was observed to be r = 0.54 between IAT and SAS-SV and r = 0.58 between IAT and BFAS. A significant positive correlation was equally observed between the IAT and BFAS factors, ranging from conflict (r = 0.322, P = 0.000) to relapse (r = 0.488, P = 0.000). The new norm determined for IAT in the Nigerian population was ≥ 38.5 for males and ≥ 40.8 for females. Conclusions: IAT is gender-sensitive and has acceptable psychometric properties for the Nigerian population.

The Predictive Relationship Between Emotion Management Skills and Internet Addiction

2011 ◽  
Vol 39 (10) ◽  
pp. 1425-1430 ◽  
Author(s):  
Vesile Oktan
Keyword(s):  
Regression Analysis ◽  
Internet Addiction ◽  
Emotion Management ◽  
Internet Usage ◽  
The Internet ◽  
Management Skills ◽  
Use Of The Internet ◽  
The Relationship ◽  
Predictive Relationship ◽  
Academic Year

The relationship between emotion management skills and the use of the Internet was examined in this study to determine whether or not the emotion management skills of university students are a predictor of Internet addiction. The study was conducted in the 2008/2009 academic year with 345 students from different departments of a university in Turkey. Data were collected using the Emotion Management Skills Inventory (Çeçen, 2006) and the Problematic Internet Usage Scale (Ceyhan, Ceyhan, & Gürcan, 2007). Results of regression analysis showed that the total measure of emotion management skills predicted the levels of Internet addiction.

scholarly journals Application of Diagnostic Interview for Internet Addiction (DIA) in Clinical Practice for Korean Adolescents

2019 ◽  
Vol 8 (2) ◽  
pp. 202 ◽  
Author(s):  
Hyera Ryu ◽  
Ji Yoon Lee ◽  
A Ruem Choi ◽  
Sun Ju Chung ◽  
Minkyung Park ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Psychometric Properties ◽  
Internet Addiction ◽  
Risk Group ◽  
Self Esteem ◽  
Diagnostic Interview ◽  
Smartphone Addiction ◽  
Moderate Risk ◽  
Korean Adolescents ◽  
Dsm 5

The increased prevalence of Internet Gaming Disorder (IGD) and the inclusion of IGD in DSM-5 and ICD-11 emphasizes the importance of measuring and describing the IGD symptoms. We examined the psychometric properties of the Diagnostic Interview for Internet Addiction (DIA), a semi-structured diagnostic interview tool for IGD, and verified the application of DIA in clinical practice for Korean adolescents. The DIA is conducted in a manner that interviews both adolescents and their caregivers, and each item has a standardized representative question and various examples. It consists of 10 items based on the DSM-5 IGD diagnostic criteria, which is cognitive salience, withdrawal, tolerance, difficulty in regulating use, loss of interest in other activities, persistent use despite negative results, deception regarding Internet/games/SNS use, use of Internet/games/SNS to avoid negative feelings, interference with role performance, and craving. The study included 103 adolescents divided into three subgroups (mild risk, moderate risk, and addicted group) based on the total score of DIA. Demographic and clinical characteristics were compared among the DIA subgroups using the chi-square test and analysis of variance (ANOVA), and correlation analysis was used to examine the associations of IGD symptoms with clinical variables (e.g., impulsivity, aggression, depression, anxiety, self-esteem). The DIA total score was significantly correlated with Internet and smartphone addiction, depression, state anxiety, self-esteem, impulsivity, aggression, and stress. Furthermore, the moderate risk and addicted group showed significantly higher levels of Internet and smartphone addiction, anxiety, depression, impulsivity, aggression, stress, and lower self-esteem compared with the mild risk group. The Junior Temperament and Character Inventory (JTCI), which measures temperament and character traits, revealed that the mild risk group had higher levels of persistence and self-directedness than did the addicted group. Our findings confirmed the psychometric properties of DIA and the application of the DIA classifications in Korean adolescents.

Psychometric Properties of the Smartphone Addiction Scale – Short Version (SAS-SV) in a Sample of Iranian Adolescents

2020 ◽  
Vol 14 (1-2) ◽  
pp. 19-26
Author(s):  
Sadeq Fallahtafti ◽  
Nikzad Ghanbaripirkashani ◽  
Seyed Shahram Alizadeh ◽  
Ramin Safiyari Rovoshi
Keyword(s):  
Psychometric Properties ◽  
Smartphone Addiction ◽  
Short Version

scholarly journals Problematic use of the Internet is a unidimensional quasi-trait with impulsive and compulsive subtypes

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jeggan Tiego ◽  
Christine Lochner ◽  
Konstantinos Ioannidis ◽  
Matthias Brand ◽  
Dan J. Stein ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Psychometric Properties ◽  
Internet Addiction ◽  
Internet Use ◽  
Latent Class ◽  
The Internet ◽  
Class Analysis ◽  
Problematic Use ◽  
Online Activities ◽  
Use Of The Internet

Abstract Background Problematic use of the Internet has been highlighted as needing further study by international bodies, including the European Union and American Psychiatric Association. Knowledge regarding the optimal classification of problematic use of the Internet, subtypes, and associations with clinical disorders has been hindered by reliance on measurement instruments characterized by limited psychometric properties and external validation. Methods Non-treatment seeking individuals were recruited from the community of Stellenbosch, South Africa (N = 1661), and Chicago, United States of America (N = 827). Participants completed an online version of the Internet Addiction Test, a widely used measure of problematic use of the Internet consisting of 20-items, measured on a 5-point Likert-scale. The online questions also included demographic measures, time spent engaging in different online activities, and clinical scales. The psychometric properties of the Internet Addiction Test, and potential problematic use of the Internet subtypes, were characterized using factor analysis and latent class analysis. Results Internet Addiction Test data were optimally conceptualized as unidimensional. Latent class analysis identified two groups: those essentially free from Internet use problems, and those with problematic use of the Internet situated along a unidimensional spectrum. Internet Addiction Test scores clearly differentiated these groups, but with different optimal cut-offs at each site. In the larger Stellenbosch dataset, there was evidence for two subtypes of problematic use of the Internet that differed in severity: a lower severity “impulsive” subtype (linked with attention-deficit hyperactivity disorder), and a higher severity “compulsive” subtype (linked with obsessive-compulsive personality traits). Conclusions Problematic use of the Internet as measured by the Internet Addiction Test reflects a quasi-trait - a unipolar dimension in which most variance is restricted to a subset of people with problems regulating Internet use. There was no evidence for subtypes based on the type of online activities engaged in, which increased similarly with overall severity of Internet use problems. Measures of comorbid psychiatric symptoms, along with impulsivity, and compulsivity, appear valuable for differentiating clinical subtypes and could be included in the development of new instruments for assessing the presence and severity of Internet use problems.

scholarly journals Positive and Negative Suicide Ideation (PANSI) Inventory: Initial Psychometric Properties as a Suicide Risk Screening Tool Among Nigerian University Students

2018 ◽  
Vol 9 ◽  
pp. 117955731775191 ◽  
Author(s):  
Olutayo Aloba ◽  
Sunday Adefemi ◽  
Tolulope Aloba
Keyword(s):  
Factor Analysis ◽  
Suicidal Ideation ◽  
University Students ◽  
Psychometric Properties ◽  
Suicide Risk ◽  
Suicide Ideation ◽  
Factor Model ◽  
Assessment Instrument ◽  
Nigerian University ◽  
Fit Index

Objective: The objective of this study is to examine the factor structure, validity, reliability, and the screening properties as a suicide risk assessment tool of the 14-item Positive and Negative Suicide Ideation (PANSI) in a nonclinical sample of Nigerian university students. Methods: A total of 514 students completed the PANSI, in addition to the Beck Depression Inventory-II (BDI-II) and the General Health Questionnaire-12 (GHQ-12). Results: Prior to the factor analysis, the sample was randomly divided into two. In one half of the sample (sample 1), exploratory factor analysis of the inventory yielded a 2-factor model (Negative Suicide Ideation [PANSI-NSI] and Positive Ideation [PANSI-PI]), whereas confirmatory factor analysis in the other half (sample 2) produced a 2-factor model with indices of fitness that indicated a satisfactory model fit ( c2 = 93.8; df = 67; χ2/degree of freedom = 1.400; P = .017; goodness of fit index = 0.951; Tucker-Lewis index = 0.964; comparative fit index = 0.974; root mean square error of approximation = 0.040). The internal consistencies of the items of the PANSI-PI and PANSI-NSI subscales were 0.75 and 0.79, respectively. The construct validity of the 2 subscales was modestly satisfactory: PANSI-PI had negative correlations with the GHQ-12 ( r = −.239, P < .001) and the BDI-II ( r = −.190, P < .001), whereas the PANSI-NSI had positive correlations with the GHQ-12 ( r = .248, P < .001) and the BDI-II ( r = .376, P < .001). In addition, a cutoff total score of 17 on the PANSI-NSI was associated with the best sensitivity (80.0%) and specificity (92.5%) in the identification of those students who endorsed experiencing suicidal ideation (area under the curve = 0.82, 95% confidence interval = 0.58-1.00). Conclusions: The PANSI has exhibited satisfactory psychometric properties as a self-rated suicidal behavior assessment instrument in the evaluation of the positive and negative thoughts associated with suicidal ideation among Nigerian university students.

scholarly journals Assessing the Psychometric Properties of the Internet Addiction Test in Peruvian University Students

2020 ◽  
Vol 17 (16) ◽  
pp. 5782
Author(s):  
Arnold Alejandro Tafur-Mendoza ◽  
Julio César Acosta-Prado ◽  
Rodrigo Arturo Zárate-Torres ◽  
Duván Emilio Ramírez-Ospina
Keyword(s):  
University Students ◽  
Psychometric Properties ◽  
Social Relations ◽  
Internet Addiction ◽  
The Internet ◽  
Evidence Based ◽  
Validity And Reliability ◽  
Time Control ◽  
Undergraduate University Students ◽  
Use Of The Internet

The use of the Internet has been gradually and unstoppably gaining ground in all areas of life, from recreational activities to how social relations are established. However, the existence of clinical cases indicates that the addictive use of the Internet is a problem that seriously affects some people. Among the instruments that measure this construct, the Internet Addiction Test (IAT) stands out. However, instrumental studies of this test are scarce in Latin America. The present study sought to analyze the psychometric properties of the IAT in a sample of 227 Peruvian undergraduate university students. Confirmatory factor analysis was used to provide validity evidence based on the internal structure, and evidence based on the relationship with other variables was also provided. Reliability was estimated through the ordinal alpha coefficient. The results indicated that the IAT adequately fits a bifactor model (with two specific factors, time/control and stress/compensate), obtaining good levels of reliability. Additionally, the IAT scores correlate significantly with the average number of hours per day on the internet and social skills. The results lead to the conclusion that the scores in the IAT have evidence of validity and reliability for its use.

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