State-of-the-art personality prediction with text data mostly relies on bottom up, automated feature generation as part of the deep learning process. More traditional models rely on …
T Gatzka, B Hell - Journal of Educational Psychology, 2018 - psycnet.apa.org
Openness to experience has often been linked to academic achievement because it subsumes traits such as curiosity, open-mindedness, thoughtfulness, and intellectuality …
We tested the longstanding belief that performance is a function of the interaction between cognitive ability and motivation. Using raw data or values obtained from primary study …
The Five Factor Model, which measures individual differences on extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience, is …
The present study investigates to what degree individual differences can predict frequency and duration of actual behaviour, manifested in mobile application (app) usage on …
This study examined the degree to which the predictive validity of personality declines in job applicant settings. Participants completed the 200-item HEXACO Personality Inventory …
Personality and intelligence are defined as hierarchical constructs, ranging from broad g- factors to (domain-) specific constructs. The present study investigated whether different …
Explaining cognitive decline in late adulthood is a major research area. Models using personality traits as possible influential variables are rare. This study tested assumptions …
RW Smith, MM DeNunzio - Journal of Research in Personality, 2020 - Elsevier
Although research suggests personality traits and job characteristics are each important drivers of work outcomes, there has been little focus on potential interactions between the …