Level of Development and Research Publication Productivity among State University and Colleges Faculty: A Predictive Model
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How to Cite

Galos, T. C., & Reston, E. D. (2022). Level of Development and Research Publication Productivity among State University and Colleges Faculty: A Predictive Model. ARADMAN: Multidisciplinary Research Journal, 2(1), 72-89. Retrieved from https://journal.evsu.edu.ph/index.php/amrj/article/view/292

Abstract

This study aimed at developing a model for predicting research publication productivity among faculty members of state universities and colleges based on the domains specified in the VITAE Researcher Development Framework. Using the quantitative predictive cross-sectional design, a regression model on research publication productivity was developed and validated based on the research development needs of faculty. Research publication productivity was positively correlated with the four domains, namely: knowledge and intellectual abilities; personal effectiveness; research governance and organization; and engagement, influence, and impact. Multiple regression analysis with split-validation analyses were conducted to support the validity of the full model with the two domains found as significant predictors of research publication productivity, namely: Knowledge and Intellectual abilities, and Research Governance and Organization. The developed and validated regression model provides a predictive model of research publication productivity with 52.7% explanatory power, this indicates that there are still other factors to be accounted by the model to increase the research publication productivity of the faculty members

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References

regression analysis, research publication productivity, level of development, state universities and colleges, VITAE Researcher development framework