HomeInternational Social Science Reviewvol. 2 no. 1 (2020)


Reah Jean B. Daguman



This study was conducted to determine a regression model of teachers’ performance as predicted by Human Resource Management (SHRM) Practices. The study used the descriptive-correlational research design with 202 teacher-respondents from President Roxas North Cotabato. The study made use of an adopted and a modified questionnaire developed by Mellenberg, (2008) for the aspect of strategic human resource management practices in terms of recruitment and selection, training and development, compensation and benefits, performance management, and employer relation. For the aspect of teachers’ performance, and adopted and modified questionnaire developed by James H. Stronge, Ph. D (2011); from PINDICS of the Department of Teacher Education National Council of Educational Research and Training (2013) and IPCRF based on the Civil Service Commission Memorandum Circular No. 06 series of 2012. The descriptive data were analyzed using the mean, Pearson r, and multiple regression. Pearson r was used for correlational analysis to determine the relationship between the independent variable and the dependent variable. Multiple regression was applied to test the explanatory and predictive power of the indicators of an independent variable to the dependent variable. The study revealed that public elementary school teachers in President Roxas North Cotabato possess a high level of Strategic Human Resource Management Practices and Teachers’ Performance. It also denotes that public elementary schools in President Roxas North Cotabato are highly implementing SHRM Practices. Moreover, the study revealed that there is a positive significant correlation between strategic human resource management practices and teachers’ performance. Furthermore, it is shown that model number 3 which includes performance management, recruitment and selection, and training and development came out as the strong and high influenced teachers’ performance. Performance management revealed as the strongest and most influenced among the three predictors.