Measurement of intention to leave one’s job: its validity and reliability
Ahmad Azrin, Adnan
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It is crucial for manufacturing sectors to retain talented employees and reduce employee turnover as the costliness of recruiting, hiring, training and getting new employees diminishes organisations’ performance. Although many researchers have discussed employee turnover extensively, it remains an unresolved issue. This paper determines the number of common factors influencing intention to leave one’s job. It also analyses the stability and consistency with which the instrument measures the concept and helps to assess the goodness of the measure. Using cluster sampling, this study sampled 452 respondents in nine manufacturing companies comprising nine districts in Selangor, Malaysia. Consequently, the results show that all the Keiser-Meyer- Olkim (KMO) values were above 0.6, and Cronbach’s alpha value for all variables was above 0.5 meaning all constructs were accepted.