The factors of internet addiction among the students during COVID-19 using logistic regression
Gift Mahlatse Mphahlele and Simon Setsweke Nkoane
| Year of publication: |
2024
|
|---|---|
| Authors: | Mphahlele, Gift Mahlatse ; Nkoane, Simon Setsweke |
| Published in: |
International journal of management concepts and philosophy : IJMCP. - Genève [u.a.] : Inderscience Enterprises, ISSN 1741-8135, ZDB-ID 2204295-7. - Vol. 17.2024, 1, p. 22-33
|
| Subject: | COVID-19 pandemic | face-to-face contact | IA | internet | internet addiction | likelihood ratio test | logistic regression | LR | LRT | online activities | online teaching and learning | students | technology | tertiary education | time spent online | Internet | Studierende | Students | Coronavirus | Regressionsanalyse | Regression analysis | E-Learning | E-learning | Online-Handel | Online retailing | Electronic Commerce | E-commerce | Epidemie | Epidemic | Social Web | Social web | Sucht | Addiction |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJMCP.2024.135089 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015067195