scholarly journals A Discriminant Analysis to Predict the Impact of Personality Traits, Self-esteem, and Time Spent Online on Different Levels of Internet Addiction Risk among University Students

2019 ◽  
Vol 61 (1) ◽  
pp. 56-70 ◽  
Author(s):  
Rocco Servidio ◽  
Keyword(s):  
Discriminant Analysis ◽  
University Students ◽  
Personality Traits ◽  
Internet Addiction ◽  
Self Esteem ◽  
Addiction Risk ◽  
The Impact ◽  
Different Levels

Psychologic predictors and epidemiology of internet addiction among university students in greece

2011 ◽  
Vol 26 (S2) ◽  
pp. 40-40 ◽  
Author(s):  
C.C. Frangos ◽  
K.C. Fragkos
Keyword(s):  
University Students ◽  
Internet Addiction ◽  
Binary Logistic Regression ◽  
Self Esteem ◽  
Psychological Characteristics ◽  
Psychological Predictors ◽  
Prevalence Rates ◽  
Males And Females ◽  
Psychological Features ◽  
The Impact

AimTo present the epidemiology and psychological predictors of Internet Addiction (IA) among Greek University students.MethodsThis random sample consisted of 3545 students, drawn from 24 higher education institutions (1618/1927 M/F, mean age 20.12 ± 2.4 years). The survey was conducted in the 4 Greek cities: Athens, Preveza, Thessaloniki and Amfissa.ResultsThe prevalence rates of IA according to Young's Test in the four cities were: Athens (17.5%), Preveza (15.9%), Thessaloniki (19.3%), Amfissa (16.3%). There was a statistically significant association between location and IA (χ2 = 28.251, df = 3, p < 0.001), gender and IA for males and females (p < 0.001). We performed a t-test with the dependent variable S = sum of scores in the psychological features of loneliness, feeling abandoned, disappointed, aimless in life, and with low self-esteem; the grouping variable was IA. Results showed that the variable S was much lower for the non-addicted than for addicted students (t = 19.329, p < 0.005, df = 3085). Binary logistic regression was performed to assess the impact of psychological characteristics on the likelihood that respondents would be Internet Addicted. The model was statistically significant χ2(10, N = 3085) = 316.3, p < 0.001. The model classified correctly 85.1% of the cases. The strongest predictors of IA were the following: Loneliness (OR = 2.15, 95% CI = 1.67-2.71), feeling abandoned (OR = 1.63, 95% CI = 1.2-2.1), low self-esteem (OR = 1.72, 95% CI = 1.4-2.1) and fear of losing their job (OR = 1.36, 95% CI = 1.01-1.7).ConclusionLoneliness, helplessness, low self-esteem and fear of unemployment are the strongest predictors of IA among Greek university students.

scholarly journals Why Are Turkish University Students Addicted to the Internet? A Moderated Mediation Model

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 953
Author(s):  
Orhan Koçak ◽  
İlayda Yılmaz ◽  
Mustafa Z. Younis
Keyword(s):  
Young People ◽  
University Students ◽  
Internet Addiction ◽  
Quantitative Research ◽  
Self Esteem ◽  
The Internet ◽  
Cross Sectional ◽  
Moderated Mediation Model ◽  
Turkish University Students ◽  
The Impact

Internet addiction has become a significant problem that primarily affects young people. It has an essential effect on the individual’s self-perception and assessment of their competencies. This study aimed to reveal whether there is a significant relationship between the level of internet addiction of university students and their age and self-esteem. For this purpose, internet addiction and self-esteem scales were used in addition to questions such as age, gender, the purpose of internet use, and internet daily usage time. We used a quantitative research method to obtain cross-sectional data from 400 Turkish young people using online surveys. Correlation, regression, mediation, and moderation analyses were performed using SPSS and the PROCESS macro plugin for data analysis. Internet addiction was significantly associated with self-esteem, gender, age, and daily internet usage. In addition, we discovered that self-esteem and daily usage time played a mediation role in the effect of the age variable on internet addiction. Moreover, the moderation roles of social networks, gender, and location in the impact of self-esteem on internet addiction were determined. With this study, we understood that as age increases, self-esteem triggers the decrease of internet addiction. In this sense, policies should be developed to increase self-esteem among young people to ensure the conscious use of the internet.

scholarly journals Socioeconomic Classes of University Students in Pakistan as Predictors of their Personality Traits: A Case Study

2021 ◽  
Vol 2 (2) ◽  
pp. 205-221
Author(s):  
Rafaqat Ali ◽  
Furrukh Bashir ◽  
Rashid Ahmad
Keyword(s):  
University Students ◽  
Personality Traits ◽  
Regression Models ◽  
Negative Impact ◽  
Positive Impact ◽  
Socioeconomic Class ◽  
Lower Socioeconomic ◽  
Negative Impacts ◽  
The Impact

The current study was heading for determining the impact of Pakistani university students’ socioeconomic classes on their personality traits. Demographic and personality questionnaires were filled by available university students online. The stepwise regression technique facilitated to generate regression models to define impacts of different socioeconomic classes on students’ different personality traits. Different regression models highlighted the significant negative impacts of the middle upper socioeconomic class on Agreeableness, Extraversion and Neuroticism personality traits. The lower socioeconomic class was found to have positive impact on only one personality sub-trait self-discipline. Whereas, the upper lower socioeconomic class caused positive impacts on students’ trust sub-trait, Conscientiousness trait and negative impact on excitement seeking sub-trait of personality. The importance of these impacts of socioeconomic classes on different personality traits and the possible implications are discussed with respect to university students’ academic performance and academic behaviour.

scholarly journals Impact of Personality Traits and Paternalistic Management Style on Job Performance of Employees in Pakistan

2019 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Hajra Akhtar ◽  
Kainat Naeem Maik ◽  
Muhammad Fazeel Butt ◽  
Shafaq Ishfaq ◽  
Zia ur Rehman
Keyword(s):  
Job Performance ◽  
Personality Traits ◽  
Self Esteem ◽  
Emotional Stability ◽  
Management Style ◽  
Telecommunication Sector ◽  
The Impact ◽  
The Relationship ◽  
Purposive Sample ◽  
Paternalistic Approach

Different personalities and management style affect the performance of the employee. The study aims to investigate the impact of personality traits on the job performance. The five personality traits are self-esteem, openness to experience, extraversion and emotional stability. The study also explores the relationship between paternalistic management style and the job performance. A purposive sample of 199 respondents from telecommunication Sector of Pakistan is selected for the study. The result reveals that personality traits of extraversion, optimism and emotional stability and management style of paternalistic approach positively and significantly relates to employee’s job performance.

scholarly journals A model explaining academic procrastination behavior

2014 ◽  
Vol 4 (3) ◽  
pp. 51-72 ◽  
Author(s):  
Mehmet Kandemir
Keyword(s):  
University Students ◽  
Personality Traits ◽  
Self Efficacy ◽  
Self Esteem ◽  
Goal Orientations ◽  
Academic Procrastination ◽  
Effect Relationship ◽  
Efficacy Belief ◽  
Cause And Effect ◽  
Academic Self Efficacy

The present study aims at examining the extent, to which personality traits, goal orientations, academic self-efficacy belief and self-esteem explain the academic procrastination behaviors of university students within the framework of a mode. To this end, a model was created and a model test was performed in order to determine the direct and indirect effects of the research variables within the compass of a cause and effect relationship. In the present research in which a causative comparative pattern was used, the research group consists of 630 university students in total from different grades, 406 of whom are female and 224 of whom are male. In the data collection phase of the present research," Aitken Academic Procrastination Scale", "Adjective Based Personality Test", "Multidimensional Perfectionism Scale", "Achievement Goals Scale", "Rosenberg Self Esteem Scale" and "Academic Self Efficacy Scale" were used. It was found that the academic procrastination behaviors of university students are directly and indirectly related to personality traits, success orientation, academic self efficacy belief and self esteem within the framework of a cause and effect relationship

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