Extracting Career Adaptability Profiles of Students and Predicting their Membership based on Adaptability's Indicators

The purpose of this study was to extract career adaptability profiles of students and predict their membership based on adaptability's indicators including career optimism, proactive personality and core self-evaluations. This study was a basic quantitative and a kind of correlational andantecedent one. A sample size of 700 students were selected through size proportional stratified sampling method. The Savickas and Porfeli's Career Adaptability Scale, Seibert, Crant and Kraimer's Proactive Personality Scale, Judge, Erez, Bono and Thoresen's Core Self-evaluation Scale and Rottinghaus, Day and Borgen's Career Optimism Scale were used to collect the data. Results showed that there is distinct quantitative adaptability profiles namely very low, low, average, and high. In addition, a distinct qualitative profile was extracted which was named disconfidence with high levels of concern, control and curiosity and a low level of confidence. Also,the results showed that distinct adaptability profiles differed significantly in their levels of adaptivity so that increasing the levels of adaptivity, in terms of its three indicators, predicts the likelihood of membership in higher levels of adaptability profiles. However, differently , in the disconfidence profile, increasing of the core self-evaluation predicts the likelihood of subscribing to the profile named high. Finally part of the model of adaptation was supported. Overall, the results showed that there are different adaptability profiles among students. Moreover, different levels of adaptivity in terms of career optimism, proactive personality and core self-evaluation, predict the individual's membership in different profiles.