Personlighetstester är mycket populära men deras vetenskaplighet har ifrågasatts. Psykologiforskarna Petri Kajonius och Anna Dåderman vid Högskolan Väst är förespråkare för Big Five-modellen som de menar på vetenskaplig grund utklassar andra modeller för att mäta personlighet. I sin bok Vem är du? går de på djupet med Big Five-modellen.
Rekrytera rätt med Big Five
Personlighetstester
Rätt person på rätt plats är målet för alla företag. Ett sätt att lyckas med detta konststycke vid en rekrytering är att genomföra ett personlighetstest. Ett av dessa är Big Five som har mer än 25 år på nacken.

Personlighet kan sammanfattas i Big Five: extraversion, neuroticism, välvillighet, samvetsgrannhet och öppenhet.
Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
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– Den modellen är idag den självklara startpunkten för alla som jobbar med personlighetsbedömning, betonar Petri Kajonius.
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