Validation of the openness to vocational opportunity (OVOS) with the partial least squares (PLS) approach

equipping for vocational opportunity skills resultes to more compatibility with career today's changes; improving career path decision-making competence and ultimately more meaningful life in 21th century. The purpose of this study to assess the validation, Stability and factor structure of the openness to vocational oportunity Scale (OVOS) that based on Krumboltz and Mitchell's planned happenstance approach and it is applied on medical students.
in this cross-sectional study with stratified random sampling method, 185 students of Kerman medical college are selected through data analysis algorithms with SmartPLS 2 (Partial least square), which include the Measurement Model (Alpha, Loadings, Composite Reliability, Convergent and Discriminant Validity), Structural Model (significant factor "T-values" and "R Square", the prediction model"Q" ^"2" "Stone-Geisser", Quality Indexes Redundancy, GOF "Goodness of fit"). To appraisal scale (OVOS) which include the component Curiosity, Flexibility, Flexibility, Optimism, Risk-taking were examined.
fitting both the data algorithm and the results of confirmatory factor analysis indicates the desirability and acceptability of latent structure in components and index.
Deduction: given the results of this study can be said that the Persian version of OVOS has construct validation and Stability in the academic community well and can be used to assessment and identification the vocational opportunity skills and facilitating understanding of the influence of chance events on career choice behavior.