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Measuring Perceived Employability among Higher Education Students: A Scale Development Study in Afghanistan

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  • Mohammad Idris Noori
  • Feza Tabassum Azmi

Abstract

In higher education, students’ perceived employability (SPE) significantly attracted authors’ attention over the last decades. Several scholars have validated scales to measure the concept. Yet an inclusive model comprising multiple internal and external factors was found to be absent in the extant literature. This study thus provides an updated multi-indicator measurement model to assist in assessing SPE and its chief components in Afghanistan. Data were collected from 755 students from six registered universities. The scale’s reliability and validity was established using the AMOS’s confirmatory factor analysis capability. Using the structural equation model (SEM)-based method, the process adopted rigorous steps to assess content validity, data symmetry, unidimensionality, construct reliability, convergent and discriminant validity, nomological validity, and model fit indices. Model validation was confirmed after the goodness-of-fit patterns and its associated validity and reliability scores had been acceptably achieved. The study justified the validation of the multi-indicator model with nine main constructs in the Afghanistan context. Additional evidence for assessing SPE beyond the validation can be provided by assessing the effects of these validated sets of components on the SPE using the complete SEM.

Suggested Citation

  • Mohammad Idris Noori & Feza Tabassum Azmi, 2024. "Measuring Perceived Employability among Higher Education Students: A Scale Development Study in Afghanistan," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(2), pages 317-336, May.
    • Handle: RePEc:sae:manlab:v:49:y:2024:i:2:p:317-336
    DOI: 10.1177/0258042X231191855
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    1. Singh Dubey, Richa & Tiwari, Vijayshri, 2020. "Operationalisation of soft skill attributes and determining the existing gap in novice ICT professionals," International Journal of Information Management, Elsevier, vol. 50(C), pages 375-386.
    2. Gerbing, David W & Anderson, James C, 1984. "On the Meaning of Within-Factor Correlated Measurement Errors," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 572-580, June.
    3. Moon, Mark A. & Mentzer, John T. & Smith, Carlo D. & Garver, Michael S., 1998. "Seven keys to better forecasting," Business Horizons, Elsevier, vol. 41(5), pages 44-52.
    4. Sherine El-Fekey & Mohamad Mohamad, 2018. "The Relationship between Graduates’ Perceived Employability Attributes and Employability Gap in Egypt: The Moderating Roles of Core Self-Evaluation and University Branding," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 158-158, March.
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