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Pooled Confirmatory Factor Analysis (PCFA) Using Structural Equation Modeling on Volunteerism Program: A Step by Step Approach

Author

Listed:
  • Wan Mohamad Asyraf Bin Wan Afthanorhan
  • Sabri Ahmad
  • Ibrahim Mamat

Abstract

Confirmatory Factor Analysis (CFA) has been enjoyed for most of researchers nowadays to evaluate the fitness of measurement model using structural equation modeling. In this work paper, five variables namely Motivation, Benefits, Barrier, Challenge, and Government Support will be implement in this research of volunteerism program to carry out the Confirmatory Factor Analysis (CFA). On the use of CFA will ascertain the scholar endeavours to enhance the capability of latent measurement model to be more effective and precise for drawing the conclusion besides to avoid the violate of regression assumption. Of the introduction to Cronbach Alpha, Composite Reliability, Convergent and Discriminant Validity in particular analysis are much efficient as a proof for the scholars to apply the outcome analysis for the subsequent steps. In doing so, the findings appear are more coincides of the purpose of case study. Deductively, CFA is a basis tools to provide a best fit of measurement model whereby deteriorates the error of measurement model from to be harm. The limitation of particular analysis using individual measurement is incapable to execute the CFA once consist below than four manifest variables. The introduction to pool CFA is indeed as a solution of scholars to achieve the required level of assess measurement model.

Suggested Citation

  • 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.
    • Handle: RePEc:asi:ijoass:v:4:y:2014:i:5:p:642-653:id:2663
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    Citations

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    Cited by:

    1. Zainudin Awang & Asyraf Afthanorhan & Mustafa Mamat, 2016. "The Likert scale analysis using parametric based Structural Equation Modeling (SEM)," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 4(1), pages 13-21, June.
    2. Shu-Chiang Lin & Ilma Mufidah & Satria Fadil Persada, 2017. "Safety-Culture Exploration in Taiwan’s Metal Industries: Identifying the Workers’ Background Influence on Safety Climate," Sustainability, MDPI, vol. 9(11), pages 1-16, October.
    3. Turkson, Richard Fiifi & Atombo, Charles & Akple, Maxwell Selase & Tibu, Henry Mawusi, 2023. "Modelling the adoption of electronic vehicle diagnostic technology for vehicle repairs: A structural equation modelling approach," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Wittaya Charupongsopon & Wilert Puriwat, 2017. "The Influence of Entrepreneurial Orientation and Family Business’s Resources and Capabilities on Ìarketing Performances," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 150-163.
    5. Moon-Yong Kim & Minhee Son, 2021. "What Determines Consumer Attitude toward Green Credit Card Services? A Moderated Mediation Approach," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    6. Asyraf Afthanorhan & Zainudin Awang & Sharifah Fazella, 2017. "Perception of Tourism Impact and Support Tourism Development in Terengganu, Malaysia," Social Sciences, MDPI, vol. 6(3), pages 1-11, September.

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