IDEAS home Printed from https://ideas.repec.org/a/sae/manlab/v49y2024i2p317-336.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0258042X231191855
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0258042X231191855?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anna Jasinenko & Josephina Steuber, 2023. "Perceived Organizational Purpose: Systematic Literature Review, Construct Definition, Measurement and Potential Employee Outcomes," Journal of Management Studies, Wiley Blackwell, vol. 60(6), pages 1415-1447, September.
    2. Justina GineikienÄ—, 2013. "Consumer Nostalgia Literature Review And An Alternative Measurement Perspective," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    3. Golossenko, Artyom & Pillai, Kishore Gopalakrishna & Aroean, Lukman, 2020. "Seeing brands as humans: Development and validation of a brand anthropomorphism scale," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 737-755.
    4. Jurlin, Kresimir & Malekovic, Sanja & Puljiz, Jaksa & Cziraky, Dario & Polic, Mario, 2002. "Covariance structure analysis of regional development data: an application to municipality development assessment," ERSA conference papers ersa02p469, European Regional Science Association.
    5. Michael Hennessy & Amy Bleakley & Martin Fishbein, 2012. "Measurement Models for Reasoned Action Theory," The ANNALS of the American Academy of Political and Social Science, , vol. 640(1), pages 42-57, March.
    6. Junwei Zheng & Guangdong Wu, 2018. "Work-Family Conflict, Perceived Organizational Support and Professional Commitment: A Mediation Mechanism for Chinese Project Professionals," IJERPH, MDPI, vol. 15(2), pages 1-23, February.
    7. Mercy Gloria Ashepet & Liesbet Vranken & Caroline Michellier & Olivier Dewitte & Rodgers Mutyebere & Clovis Kabaseke & Ronald Twongyirwe & Violet Kanyiginya & Grace Kagoro-Rugunda & Tine Huyse & Liesb, 2024. "Assessing scale reliability in citizen science motivational research: lessons learned from two case studies in Uganda," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    8. Pereira, Arun & Hsu, Chin-Chun & Kundu, Sumit K., 2005. "Country-of-origin image: measurement and cross-national testing," Journal of Business Research, Elsevier, vol. 58(1), pages 103-106, January.
    9. Moon, Mark A. & Mentzer, John T. & Smith, Carlo D., 2003. "Conducting a sales forecasting audit," International Journal of Forecasting, Elsevier, vol. 19(1), pages 5-25.
    10. Shagun Tyagi & Ashulekha Gupta & Nabila Ansari, 2024. "Adoption and perception of banking customers towards green mode of banking: a demonstration of structural equation modelling," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 826-842, September.
    11. André Pirralha & Wiebke Weber, 2020. "Correction for measurement error in invariance testing: An illustration using SQP," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    12. Hannah, Sean T. & Avolio, Bruce J. & Walumbwa, Fred O. & Chan, Adrian, 2012. "Leader Self and Means Efficacy: A multi-component approach," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(2), pages 143-161.
    13. Zhang, Yan & Han, Yu-Lan, 2019. "Paradoxical leader behavior in long-term corporate development: Antecedents and consequences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 155(C), pages 42-54.
    14. Wan Mohamad Asyraf Bin Wan Afthanorhan & Sabri Ahmad & Ibrahim Mamat, 2014. "Pooled Confirmatory Factor Analysis (PCFA) Using Structural Equation Modeling on Volunteerism Program: A Step by Step Approach," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 4(5), pages 642-653, May.
    15. Wei, Wu & Zhou, Ying & Wang, Danni, 2023. "Learning to integrate conflicts: Paradoxical leadership fosters team innovation," Journal of Business Research, Elsevier, vol. 165(C).
    16. Wei, Wei & Lu, Ying (Tracy) & Miao, Li & Cai, Liping A. & Wang, Chen-ya, 2017. "Customer-customer interactions (CCIs) at conferences: An identity approach," Tourism Management, Elsevier, vol. 59(C), pages 154-170.
    17. Andreas Herrmann & Frank Huber & Frank Kressmann, 2006. "Varianz- und kovarianzbasierte Strukturgleichungsmodelle — Ein Leitfaden zu deren Spezifikation, Schätzung und Beurteilung," Schmalenbach Journal of Business Research, Springer, vol. 58(1), pages 34-66, February.
    18. Huma Nawaz, 2019. "An investigation into factors that determine the growth rate in the Islamic banking and finance," Future Business Journal, Springer, vol. 5(1), pages 1-15, December.
    19. James C. Anderson & David W. Gerbing, 1992. "Assumptions and Comparative Strengths of the Two-Step Approach," Sociological Methods & Research, , vol. 20(3), pages 321-333, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:manlab:v:49:y:2024:i:2:p:317-336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.xlri.ac.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.