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

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