A Serbian version of the ANPS and its link to the five factor model of personality

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This short communication presents a Serbian version of the Affective Neuroscience Personality Scales (ANPS). The ANPS is a self-report measure assessing individual differences in primary emotional systems as derived from Jaak Panksepp’s Affective Neuroscience Theory. As a recent work by Montag & Panksepp (2017a) confirmed the original demonstration of strong associations between primary emotions and the Five Factor Model of Personality (Davis et al., 2003) across different cultures (USA, Germany, China), we replicated these findings in a Serbian sample. Moreover, following the idea of a recent commentary of DiDomencio & Ryan (2017) on Montag & Panksepp’s (2017a), we present for the first time detailed associations between Five Factor Model facets as assessed with the NEO-PI-R and primary emotions. Please note that as part of a cross-cultural project, also HEXACO data were collected, which have been published in Knežević et al. (2019). Information about the project on ANPS and HEXACO are available at https://osf.io/8cu4k/

Files

Loading files...

Citation

Components

  • Supplementary materials


    Recent Activity

    Loading logs...

  • Data and Analysis


    Recent Activity

    Loading logs...

  • Materials: Serbian ANPS questionnaire


    Recent Activity

    Loading logs...

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.