IDEAS home Printed from https://ideas.repec.org/a/apa/ijhass/2015p75-84.html
   My bibliography  Save this article

Testing Moderating Effects for the Causal Structure Model of Self-Action-Outcome (SAO Model)

Author

Listed:
  • NORIDA ABDULLAH1

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • KALTHOM HUSSIN

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • ROSLI SAADAN

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • MOHAMAD BOKHARI

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • RAMLE BIN ABID

    (Universiti Malaysia Pahang, Malaysia)

Abstract

This study focuses on developing the Self-Action-Outcome (SAO) model and testing the moderating effects based on gender and academic performance. The SAO model examined the relationship between selfesteem, job-search intensity and career decision-making self-efficacy among graduating students. The instruments used to develop this model were, the Rosenberg Self-Esteem Scale, Job-Search Intensity Scale, and Career Decision-Making Self-Efficacy Scale. Participants were recruited using a cluster sampling procedure. Data were collected using a self-reported questionnaire. Data collected from 678 graduating students were tested with confirmatory factor analysis to obtain three best-fit measurement models from the three latent variables. The results showed that the overall fit of the SAO model was adequate with CFI = .977, TLI = .971 and RMSEA = .048. The statistics indicate that the parameters were free from offending estimates, ranging from .52 to .90. The moderators’ variables such as gender and academic performance did not moderate the hypothesized SAO model means that the hypothesized SAO model is a good model among graduating students. Implications of the findings for social work practice such as guidance counsellor, research, theory, policy and education were also discussed.

Suggested Citation

  • Norida Abdullah1 & Kalthom Hussin & Rosli Saadan & Mohamad Bokhari & Ramle Bin Abid, 2015. "Testing Moderating Effects for the Causal Structure Model of Self-Action-Outcome (SAO Model)," International Journal of Humanities, Arts and Social Sciences, Dr. Mohammad Hamad Al-khresheh, vol. 1(2), pages 75-84.
  • Handle: RePEc:apa:ijhass:2015:p:75-84
    DOI: 10.20469/ijhss.20004-2
    as

    Download full text from publisher

    File URL: https://kkgpublications.com/ijhss-issue-2-article-4/
    Download Restriction: no

    File URL: https://kkgpublications.com/wp-content/uploads/2016/02/IJHSS-20004-2.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.20469/ijhss.20004-2?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. van der Klaauw, Bas & van Vuuren, Aico, 2010. "Job search and academic achievement," European Economic Review, Elsevier, vol. 54(2), pages 294-316, February.
    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. Bart Cockx & Muriel Dejemeppe & Andrey Launov & Bruno Van der Linden, 2018. "Imperfect Monitoring of Job Search: Structural Estimation and Policy Design," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 75-120.
    2. T.M. van Huizen & J. Plantenga, 2013. "Job Search Behaviour and Time Preferences: Evidence from the Netherlands," Working Papers 13-03, Utrecht School of Economics.
    3. Bart COCKX & Muriel DEJEMEPPE & Andrey LAUNOV & Bruno VAN DER LINDEN, 2011. "Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model," LIDAM Discussion Papers IRES 2011042, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    4. van Huizen, Thomas & Alessie, Rob, 2015. "Time preferences and career investments," Labour Economics, Elsevier, vol. 35(C), pages 77-92.
    5. Chadi, Adrian & de Pinto, Marco & Schultze, Gabriel, 2019. "Young, gifted and lazy? The role of ability and labor market prospects in student effort decisions," Economics of Education Review, Elsevier, vol. 72(C), pages 66-79.
    6. Cerulli-Harms, Annette, 2017. "Generation Internship: The Impact of Internships on Early Labour Market Performance," IZA Discussion Papers 11163, Institute of Labor Economics (IZA).
    7. Simona Iammarino & Elisabetta Marinelli, 2012. "Education-Job (Mis)Matching And Interregional Migration: Italian University Graduates’ Transition To Work," Working Papers 8, Birkbeck Centre for Innovation Management Research, revised Sep 2012.
    8. Baert, Stijn & Cockx, Bart, 2013. "Pure ethnic gaps in educational attainment and school to work transitions: When do they arise?," Economics of Education Review, Elsevier, vol. 36(C), pages 276-294.
    9. Obbey Ahmed Elamin, 2018. "Impact of Informal Job-search on Wages for University Graduates in Egypt and Jordan," Working Papers 1272, Economic Research Forum, revised 19 Dec 2018.
    10. Berge, Wiljan van den, 2018. "Bad start, bad match? The early career effects of graduating in a recession for vocational and academic graduates," Labour Economics, Elsevier, vol. 53(C), pages 75-96.
    11. van Huizen, Thomas & Alessie, Rob, 2019. "Risk aversion and job mobility," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 91-106.
    12. Thomas Huizen & Janneke Plantenga, 2014. "Job Search Behaviour and Time Preferences: Testing Exponential Versus Hyperbolic Discounting," De Economist, Springer, vol. 162(3), pages 223-245, September.
    13. Flabbi, Luca & Mabli, James, 2012. "Household Search or Individual Search: Does It Matter? Evidence from Lifetime Inequality Estimates," IZA Discussion Papers 6908, Institute of Labor Economics (IZA).
    14. Chiara Mussida & Luca Zanin, 2020. "Determinants of the Choice of Job Search Channels by the Unemployed Using a Multivariate Probit Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 369-420, November.
    15. Dijk, J. van & Broersma, L. & Edzes, A.J.E. & Venhorst, V.A, 2011. "Brain drain of brain gain? Hoger opgeleiden in grote steden in Nederland," Research Reports vavenhorst, University of Groningen, Urban and Regional Studies Institute (URSI).

    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:apa:ijhass:2015:p:75-84. 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: Dr. Mohammad Hamad Al-khresheh (email available below). General contact details of provider: https://kkgpublications.com/social-sciences/ .

    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.