Review of the Models of Fake Response Determinants in Personality Questionnaires in Job Selection

Laziranjem odgovora na upitnicima licnosti nazivamo tendenciju namjernog davanja netocnih odgovora kako bi se povecala vjerojatnost postizanja zeljenoga cilja, konkretno dobivanja posla. Ovo ponasanje u selekcijskoj situaciji nije lako otkriti ni izmjeriti, stoga je teorijski i prakticno vazno utvrditi o kojim to sve cimbenicima ovisi hoce li i u kojem stupnju kandidati lazirati svoje odgovore. Pokusavajuci odgovoriti na to pitanje, u zadnjem desetljecu nekoliko je skupina autora sistematiziralo moguce cimbenike i predlozilo modele koji specificiraju kljucne odrednice laziranja odgovora i njihove meusobne odnose. Zbog kratkoga vremena u kojem su nastali, modeli se uglavnom nisu referirali jedan na drugi, pa razni autori cesto iste odrednice nazivaju razlicitim imenom, kao i razlicite odrednice istim imenom, dok u oskudnim empirijskim istrazivanjima rabe razlicite operacionalizacije istoga konstrukta. Stoga je cilj ovog rada dati sustavni pregled i kriticki osvrt na sve relevantne modele laziranja odgovora. Rad zavrsava zakljuckom pregleda modela laziranja odgovora u kojem se isticu slicnosti i razlike izmeou modela laziranja odgovora, na cemu se temelje smjernice za buduca istrazivanja odrednica laziranja odgovora u selekcijskom kontekstu.//Faking behavior on personality questionnaires can be defined as a respondent's tendency to consciously give incorrect answers in order to increase chances for obtaining their goal, e.g. getting the job. Given the fact that it is a behavior which is neither easily detected nor measured, from both theoretical and practical perspectives, it is important to identify the factors which determine whether applicants will fake their responses, and to what extent. In attempts to answer this question, in the last decade several groups of authors have systemized possible factors and suggested the models which specify key determinants of faking behavior and their mutual relationships. Since the models have been developed in a short period of time, they mostly do not refer to each other. Consequently, various authors often use different labels for the same determinants, as well as the same labels for different determinants, while in scarce empirical studies they measure the same constructs variously. Hence, the goal of this overview is to systematically present and critically review all relevant models of faking. The overview is concluded by emphasizing the similarities and differences between the models, which can serve as the basis