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IJIET 2017 Vol.7(1): 15-18 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.1.834

Psychometric Properties of Social Media and Academic Influence Scale (SMAIS) Using Exploratory Factor Analysis

Ahmad Abdullahi Ibrahim, Rabiu Garba Idris, and A‟isha Hassan Sulaiman

Abstract—The paper presents validation study to determine psychometric adequacy of a measure of Social Media on Academic Attainment among university students. A sample of 200 undergraduate students from Northwest University, Kano was drawn through random sampling. The internal consistency index of the measure was found satisfactory with 0.76. Moreover, the instrument demonstrates acceptable psychometric properties and four distinct factors that reflect the influence of social media on academic attainment with access to social media trust being the most important. The Exploratory Factor Analysis identified four factors labeled as ‘access to social media’, ‘academic communication’, ‘exposure’ and ‘academic attainment’ explaining 24.11%, 13.50%, 10.30% and 8.69% of the variances respectively. Moreover, the instrument demonstrates factorial validity, construct validity and structure of measures of constructs and the four factor solution explains 56.61% total of variance.

Index Terms—Social media, academic attainment, construct, validation, KMO, variance, exploratory factor analysis.

Ahmad Abdullahi Ibrahim and Rabiu Garba Idris are with Faculty of Education International Islamic University, Malaysia (e-mail: ahmad.daneji@yahoo.com).
A‟isha Hassan Sulaiman is with Faculty of Education, Northwest University, Kano, Nigeria.

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Cite: Ahmad Abdullahi Ibrahim, Rabiu Garba Idris, and A‟isha Hassan Sulaiman, "Psychometric Properties of Social Media and Academic Influence Scale (SMAIS) Using Exploratory Factor Analysis," International Journal of Information and Education Technology vol. 7, no. 1, pp. 15-18, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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