Multinomial Regression Model for In-service Training

نویسندگان

  • Hsieh-Hua Yang
  • Hung-Jen Yang
چکیده

In-service training is education for employees to help them develop their professional skills in a specific discipline or occupation. This training takes place after an individual begins work responsibilities. On-line technology is supporting our learning in many ways. Both credit and degree pursuing are formal developing program. There is a need to developing a model of in-service training for a certain professional group so can illustrate their group behavior. The purpose of this study was to present how to develop a model of in-service training by using multiple logistic regressions. Based on literature review, a theory model was first identified. An investigating was conducted to collect data to evaluate the designed model. The model consist two factors, one is the learners’ age and the other is the learning styles. Two models were establish to explore both credit training and degree training courses. The resulted model then was further discussed to reveal in-depth of in-service needs. Keywords—In-service Training, Multiple Logistic Regression.

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تاریخ انتشار 2007