Narrative Microstructure Research Articles

Can Vocabulary Size Predict Narrative Abilities in Children with SLI

Correlating expressive vocabulary skills with narrative microstructure measures such as morphosyntactic skills revealed that both are powerful tools to assess language-impaired children. However, for expressive vocabulary to have a predictive value on narrative performance, younger children with SLI should be investigated. Our results lend support to a unified model of SLI (Rice 2003) revealing that both expressive vocabulary and narrative re-tell microstructure are delayed in school-aged Greek Cypriot children with SLI compared to their typically developing peers.

An Investigation of Narrative Ability in Boys with Autism and Fragile X Syndrome

Whereas pragmatic language difficulties are characteristic of both autism and Fragile X syndrome, it is unclear whether such deficits are qualitatively similar or whether certain skills are differentially affected. This study compared narrative competence in boys with autism, Fragile X syndrome, Down syndrome, and typical development. Results revealed that an interaction between diagnosis and nonverbal mental age predicted narrative microstructure (e.g., complex syntax) but not macrostructure (e.g., thematic maintenance). Correlations with FMR1-related variation were investigated in children with Fragile X syndrome. While CGG repeat length was associated with many language characteristics, nonverbal IQ appeared to mediate these relationships. These findings are an important step toward understanding narrative abilities in boys with and without the FMR1 mutation.

The Utility of School-Age Narrative Microstructure Indices: INMIS and the Proportion of Restricted Utterances

This research investigated the applicability of the index of narrative microstructure (INMIS; L. M. Justice et al., 2006) system for narratives that were elicited through a wordless picture book context. In addition, the viability of an alternative, simpler metric was explored. Narrative transcripts using the Frog, Where Are You? (M. Mayer, 1969) wordless picture book with 48 school-age children with and without language impairment were analyzed using the INMIS productivity and complexity indices and a proportion of restricted utterances metric. Roy-Bargmann stepdown F calculations, effect sizes, confidence intervals, and positive and negative likelihood ratios were analyzed to examine the statistical and clinical significance of each narrative metric. The INMIS complexity metric and the proportion of restricted utterances metric yielded statistically significant differences between the two language ability groups and are likely to have good potential as research and clinical tools within the wordless picture book narrative elicitation context. The INMIS productivity metric did not differentiate between the language groups. The results support the use of the INMIS complexity metric in a wordless picture book elicitation context and introduce an alternative microstructure analysis metric, the proportion of restricted utterances, which uses a logically transparent scale and may meet research and clinical needs without requiring the use of specialized software or complex calculations.

The Index of Narrative Microstructure: A Clinical Tool for Analyzing School-Age Children’s Narrative Performances

This research was conducted to develop a clinical tool-the Index of Narrative Microstructure (INMIS)-that would parsimoniously account for important microstructural aspects of narrative production for school-age children. The study provides field test age- and grade-based INMIS values to aid clinicians in making normative judgments about microstructural aspects of pupils' narrative performance. Narrative samples using a single-picture elicitation context were collected from 250 children age 5-12 years and then transcribed and segmented into T-units. A T-unit consists of a single main clause and any dependent constituents. The narrative transcripts were then coded and analyzed to document a comprehensive set of microstructural indices. Factor analysis indicated that narrative microstructure consisted of 2 moderately related factors. The Productivity factor primarily comprised measures of word output, lexical diversity, and T-unit output. The Complexity factor comprised measures of syntactic organization, with mean length of T-units in words and proportion of complex T-units loading most strongly. Principal components analysis was used to provide a linear combination of 8 variables to approximate the 2 factors. Formulas for calculating a student's performance on the 2 factors using 8 narrative measures are provided. This study provided a method for professionals to calculate INMIS scores for narrative Productivity and Complexity for comparison against field test data for age (5- to 12-year-old) or grade (kindergarten to Grade 6) groupings. INMIS scores complement other tools in evaluating a child's narrative performance specifically and language abilities more generally.