Psychological Text Analysis in the Digital Humanities

Can language use reflect personality style? Studies examined the reliability, factor structure, and validity of written language using a word-based, computerized text analysis program. Daily diaries from 15 substance abuse inpatients, daily writing assignments from 35 students, and journal abstracts from 40 social psychologists demonstrated good internal consistency for over 36 language dimensions. Analyses of the best 15 language dimensions from essays by 838 students yielded 4 factors that replicated across written samples from another 381 students. Finally, linguistic profiles from writing samples were compared with Thematic Apperception Test coding, self-reports, and behavioral measures from 79 students and with self-reports of a 5-factor measure and health markers from more than 1,200 students. Despite modest effect sizes, the data suggest that linguistic style is an independent and meaningful way of exploring personality.

The words people use in disclosing a trauma were hypothesized to predict improvements in mental and physical health in 2 studies. The first study reanalyzed data from 6 previous experiments in which language variables served as predictors of health. Results from 177 participants in previous writing studies showed that increased use of words associated with insightful and causal thinking was linked to improved physical but not mental health. Higher use of positive relative to negative emotion words was also associated with better health. An empirical measure that was derived from these data correlated with subsequent distress ratings. The second study tested these models on interview transcripts of 30 men who had lost their partners to AIDS. Cognitive change and empirical models predicted postbereavement distress at 1 year. Implications of using computer-based text analyses in the study of narratives are discussed.