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Using Multinomial Logistic Regression Model to Predict the Effect of Social Media on Academic Performance of College Students

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Title: Using Multinomial Logistic Regression Model to Predict the Effect of Social Media on Academic Performance of College Students
Language: English
Authors: Ajeka Friday (ORCID 0009-0000-6149-1171), Musibau Shofoluwe (ORCID 0000-0002-0713-3581)
Source: International Journal of Technology in Education and Science. 2025 9(2):285-298.
Availability: International Society for Technology, Education, and Science. e-mail: ijtesoffice@gmail.com; Web site: http://www.ijtes.net
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Social Media, Academic Achievement, College Students, Predictor Variables, Age Differences, Marital Status, Budgets, Income, Computer Use, Technology Uses in Education, Correlation, Grade Point Average, Study Habits, Foreign Countries, On Campus Students, Commuting Students
Geographic Terms: Nigeria
ISSN: 2651-5369
Abstract: Social media networking has become an integral part of communication today, with widespread usage across various demographics. This study was conducted to investigate the impact of social media on student academic performance, recognizing its prevalence and influence in educational settings. A random sample of 1,692 students was selected to participate in the study. A multinomial logit model was developed to predict student performance based on significant predictors, including age, marital status, monthly budget for social networks, monthly stipend, and daily private study time on social media. The results showed that age, marital status, monthly social network subscription budget, monthly stipend, and private study time on social media were statistically significant. The likelihood of achieving a 2.40-3.49 CGPA was highly dependent on age, marital status, monthly budget for social media subscription, and private study time with p-values of 0.018, 0.000, 0.000, and 0.000 respectively. Those students who studied less than 1 hour and those who spent 1-2 hours daily on social media were more likely to attain a 2.40-3.49 CGPA. Additionally, a 1.50-2.39 CGPA was influenced by monthly stipend, marital status, and daily private study time on social media with p-values of 0.017, 0.000, and 0.000 respectively.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475748
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Using Multinomial Logistic Regression Model to Predict the Effect of Social Media on Academic Performance of College Students
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  Data: <searchLink fieldCode="AR" term="%22Ajeka+Friday%22">Ajeka Friday</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-6149-1171">0009-0000-6149-1171</externalLink>)<br /><searchLink fieldCode="AR" term="%22Musibau+Shofoluwe%22">Musibau Shofoluwe</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0713-3581">0000-0002-0713-3581</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Technology+in+Education+and+Science%22"><i>International Journal of Technology in Education and Science</i></searchLink>. 2025 9(2):285-298.
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  Data: International Society for Technology, Education, and Science. e-mail: ijtesoffice@gmail.com; Web site: http://www.ijtes.net
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  Data: Y
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  Data: 15
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  Data: 2025
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Social+Media%22">Social Media</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Age+Differences%22">Age Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Marital+Status%22">Marital Status</searchLink><br /><searchLink fieldCode="DE" term="%22Budgets%22">Budgets</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Use%22">Computer Use</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+Point+Average%22">Grade Point Average</searchLink><br /><searchLink fieldCode="DE" term="%22Study+Habits%22">Study Habits</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22On+Campus+Students%22">On Campus Students</searchLink><br /><searchLink fieldCode="DE" term="%22Commuting+Students%22">Commuting Students</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Nigeria%22">Nigeria</searchLink>
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  Data: 2651-5369
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Social media networking has become an integral part of communication today, with widespread usage across various demographics. This study was conducted to investigate the impact of social media on student academic performance, recognizing its prevalence and influence in educational settings. A random sample of 1,692 students was selected to participate in the study. A multinomial logit model was developed to predict student performance based on significant predictors, including age, marital status, monthly budget for social networks, monthly stipend, and daily private study time on social media. The results showed that age, marital status, monthly social network subscription budget, monthly stipend, and private study time on social media were statistically significant. The likelihood of achieving a 2.40-3.49 CGPA was highly dependent on age, marital status, monthly budget for social media subscription, and private study time with p-values of 0.018, 0.000, 0.000, and 0.000 respectively. Those students who studied less than 1 hour and those who spent 1-2 hours daily on social media were more likely to attain a 2.40-3.49 CGPA. Additionally, a 1.50-2.39 CGPA was influenced by monthly stipend, marital status, and daily private study time on social media with p-values of 0.017, 0.000, and 0.000 respectively.
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  Data: 2025
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  Data: EJ1475748
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 285
    Subjects:
      – SubjectFull: Social Media
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Age Differences
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      – SubjectFull: Marital Status
        Type: general
      – SubjectFull: Budgets
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      – SubjectFull: Income
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      – SubjectFull: Computer Use
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Grade Point Average
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      – SubjectFull: Study Habits
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      – SubjectFull: Foreign Countries
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      – SubjectFull: On Campus Students
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      – SubjectFull: Commuting Students
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      – SubjectFull: Nigeria
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      – TitleFull: Using Multinomial Logistic Regression Model to Predict the Effect of Social Media on Academic Performance of College Students
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