Analyses of Training Needs to Improve Job Performance Using Model Borich Need Assessment with Theory of Self-Efficacy

Saleh Jasim Mohammed *

Agricultural Extension and Training Office, Agricultural Training and Extension Center in AL-Anbar, Ministry of Agriculture, Iraq

Man Norsida

Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia, 43300 Serdang, Malaysia

Muktar Bashir Garba

Federal University Dutse, Jigawa State, Nigeria

Zidane Falah Hasan Al-Lahibi

Ministry of Agriculture, Iraq

Mohammed Sara Jasim

Department of Soil and Water Resources, Faculty of Agriculture, University of Anbar, Iraq

*Author to whom correspondence should be addressed.


Abstract

This purpose of the study is to identify the training needs of Iraqi agricultural extension workers in three (3) provinces. The study includes a conceptual framework, analytical framework, description of the study area, sources and procedures for data collection. The statistical tools used for analyzing the data collected are descriptive analysis, ANOVA one way, T-test and Chi-square, correlation analysis, Multiple Linear Regressions and also used model Borich needs assessment for measurement training needs. The objective of the study is to examine the relationship between the training needs of respondents in agricultural extension work and social demographic factors. This study revealed a significant relationship between training needs and provinces (P-value = 0.029), marital status (P-value = 0.007), number of training courses attended (P-value = 0.149), location of work (P-value = 0.007), training (X2 P-value = 0.043) and experience. Conversely, the relationship between training needs and specialization, age, gender, education level, origin, background of the family and experience in farming were found to be insignificant. T-test and Chi-Square statistical analyses were used to analyze the relationship between training needs and gender, experience in farming, family background, origin, and training courses attended. ANOVA analysis was used to analyze the relationship between training needs and provinces, specialization, work location and marital status. In addition, correlation analysis was also used to determine the relationship between training needs and age, experience in agricultural extension, education level and a number of training courses attended.

Keywords: Analyses, training needs, Borich’s need assessment model, theory of self-efficacy


How to Cite

Jasim Mohammed, Saleh, Man Norsida, Muktar Bashir Garba, Zidane Falah Hasan Al-Lahibi, and Mohammed Sara Jasim. 2017. “Analyses of Training Needs to Improve Job Performance Using Model Borich Need Assessment With Theory of Self-Efficacy”. Asian Research Journal of Agriculture 3 (3):1-16. https://doi.org/10.9734/ARJA/2017/30708.

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