Macrostructural Analyses of Cinderella Narratives in a Large Nonclinical Sample.

ABSTRACT: Purpose Macrostructural narrative analyses are important clinical measures, revealing age-related declines and disorder-related impairments in the accuracy, completeness, logical sequencing, and organization of content. The current study aims to provide preliminary data on typical aging and psychometric evidence supporting multilevel Main Concept, Sequencing, and Story Grammar (MSSG) analyses that capture these aspects of narratives. Method Transcripts of Cinderella narratives for 92 healthy control participants stratified across four age brackets from the online database AphasiaBank were coded by Richardson and Dalton (2016) for main concept (MC) analysis. In the current study, MSSG analyses were completed for (a) logical sequencing, independently and in combination with MC accurac

SUBMITTER: Greenslade KJ 

PROVIDER: S-EPMC8740559 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature