This study is continuation of a project which was investigating creativity in stories, written by TEDS participants at age 9 (Toivainen et al., 2021). The study will investigate the relationships between linguistic measures, produced by Computerised Language Analysis (CLAN) and Divergent Semantic Integration (DSI) software, and subjective creativity evaluations (Consensual Assessment Technique, CAT), done by individuals. We explore if, and to what extent, specific linguistic characteristics in the written stories are associated with Creative Expressiveness and Logic scores of the stories. The Creative Expressiveness and Logic scores were created as part of the previous research (Toivainen et al., 2021). The associations will also be explored individually with 10 story dimensions that were used to create the Creative Expressiveness and Logic scores. The story length is expected to be the strongest predictor of human creativity ratings, however, the main focus is on the additional contributions of linguistic diversity and semantic distance on the total predictive power on creativity.