2 research outputs found
Predicting driving error, lapses and violations from personality characteristics and Vienna Risk Taking test-Traffic
Background and Aim: The aim of this study was to predict driving error, lapses and violations from five narrow-band personality traits of Eyseneck Personality Profile, Vienna Risk Taking test-Traffic and Considering Future Consequences Scale.  Methods: Current study is a relational study. 510 drivers Was selected randomly and divided to two groups accident namely prone(n=257) and non accident prone(n=253).Participants responded to following instruments Eyseneck Personality Profile(EPP) Eyseneck and Wilson (1991),Scale of Considering Future Consequences (Strathman et al,1994), Driving Behavior Questionnaire(Lawton,1997) and WRBTV(Hergovich et al,2005).  Results: Finding indicated that characteristics of two groups have significant differences according to driving error, lapses and violations, Also there are significant relations among these variables and three wrong driving behavior of participants.  Conclusion: Organizations can decrease accident rate by selecting drivers according to applicant (of the job driver) characteristics especially by using WRBTV as an efficient instrument to find drivers deficiencies. Â
Validity of Flanagan Classification Test in Isfahan Art Sudents
The purpose of this article was to determine the validity of Flanagan Aptitude Classification Tests. Selection of best personnel in organizations is the problem that management and personnel selsction departments usually encounter To solve this problem researchers need a validated test that has high predictive validity in different jobs. This test contains four sub-scales: psychomotor test‚ visual-spatial test‚ special ability test and general cognitive test. In the first stage of this research 272 art students from Tehran and Isfahan University and in the next stage 185 art students were selected by random sampling It‘s criterion validity was examined in fall and spring by correlation coefficients and stepwise regression. The correlation coefficients were converted to Fisher‘s z for comparison. Almost all of them were significant, in other words, the FACT predicted the student’s grade point average .Furthermore, findings form stepwise regression analysis showed the concurrent validity and predictive validity. The predictive validity was superior to concurrent validity in predicting the criterion. so this test was proposed to be used in selection and prediction of success in different jobs