A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories

Sara J. Weston*, Keith S. Cox, David M Condon, Joshua J. Jackson

*Corresponding author for this work

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

The majority of life narrative research is performed using trained human coders. In contrast, automated linguistic analysis is oft employed in the study of verbal behaviors. These two methodological approaches are directly compared to determine the utility of automated linguistic analysis for the study of life narratives. In a study of in-person interviews (N = 158) and a second study of life stories collected online (N = 242), redemption scores are compared to the output of the Linguistic Inquiry and Word Count (Pennebaker, Francis & Booth, 2001). Additionally, patterns of language are found using exploratory principal components analysis. In both studies, redemption scores are modestly correlated with some LIWC categories and unassociated with the components. Patterns of language do not replicate across samples, indicating that the structure of language does not extend to a broader population. Redemption scores and linguistic components are independent predictors of life satisfaction up to 3 years later. These studies converge on the finding that human-coded redemption and automated linguistic analysis are complementary and nonredundant methods of analyzing life narratives, and considerations for the study of life narratives are discussed.

Original languageEnglish (US)
Pages (from-to)594-606
Number of pages13
JournalJournal of Personality
Volume84
Issue number5
DOIs
StatePublished - Oct 1 2016

ASJC Scopus subject areas

  • Social Psychology

Fingerprint Dive into the research topics of 'A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories'. Together they form a unique fingerprint.

  • Cite this