Although biographical data (biodata) has been predictive of turnover, there is no established scale designed specifically to measure attrition or quitting behaviors. The purpose of this study is to develop and test the structure of a biodata scale of quitting behaviors developed with construct-oriented scale construction. Using a large community sample (N = 702) covering different geographical ...

BACKGROUND Breast feeding can enhance preterm infants' neurodevelopmental outcome, regulate immune function development. This study aims to develop breastfeeding evaluation indicators system in neonatal intensive care units (NICU) and to provide theoretical basis for all-round evaluation of breast feeding quality for hospitalized preterm infants. MATERIAL AND METHODS This study was performed ba...

This study aimed at investigating the effects of English as foreign language proficiency onlexical attrition of Iranian learners in Nouroz holidays. For this purpose, 90 students studiedEnglish translation at Qazvin Azad University were selected. They were sophomore and wereaccessible for the present study. After administering a proficiency test (OPT), 60 students wereselected according to the ...

In the era of data science and big analytics, people analytics help organizations their human resources (HR) managers to reduce attrition by changing way attracting retaining talent. this context, employee presents a critical problem risk for as it affects not only productivity but also planning continuity. salient contributions research are follows. Firstly, we propose approach predict that sh...

The cost to train a basic qualified U.S. Navy fighter aircraft pilot is nearly USD 10 M. training includes primary, intermediate, and advanced stages, with the stage involving extensive flight training, and, thus, very expensive as result. Despite screening tests in place early-stage attrition, 4.5% of aviators undergo attrition this most stage. Key reasons for aviator include poor performance,...

Companies always seek ways to make their professional employees stay with them reduce extra recruiting and training costs. Predicting whether a particular employee may leave or not will help the company preventive decisions. Unlike physical systems, human resource problems cannot be described by scientific-analytical formula. Therefore, machine learning approaches are best tools for this aim. T...