The Stability of Oral Language Profiles of Children in the Early Years of School: A Longitudinal Comparison of Multidimensional and Cut‐Point Approaches to Classification

BACKGROUND: A cut-point approach to classifying children's language abilities uses a specific threshold to determine whether an individual falls into a particular group, such as children with 'typically developing language' or 'language difficulties.' This method has been frequently used in longitudinal research to track language during the early school years. Findings have suggested that language difficulties may persist, emerge or resolve during this time. AIMS: This longitudinal study with stratified sampling investigated oral language profiles using a multidimensional assessment framework, comparing results across multidimensional and cut-point approaches and exploring how language profiles relate to children's functioning in Year 1. METHODS: We assessed 90 children across multiple dimensions of oral language at school entry and followed them up one year later. A statistical method of combining data sources to look for groups with common characteristics (latent profile analysis) was used to identify language profiles and transitions between them. To compare the results with a cut-point approach, children were subsequently reclassified into two groups using a single cut-point from an omnibus test of oral language. Profile-related differences in early academic and psychosocial outcomes were compared using a Multivariate Analysis of Variance. Follow-up analyses using McNemar's test examined whether differences in classifications from the two classification methods were statistically significant. RESULTS: Three language trajectory profiles were identified using the multidimensional approach: stable average, stable low and improving. The cut-point method identified these same profiles and a small declining profile. Notably, more children were classified in the stable low group using the multidimensional approach compared to the cut-point method, and this difference was statistically significant. In Year 1, children classified into language profiles characterised by average or above-average abilities exhibited significantly stronger early academic outcomes compared to those in profiles associated with language difficulties. CONCLUSIONS: The use of a multidimensional assessment may result in greater consistency of categorical classifications over time for students with language difficulties. Further research is needed to explore the potential clinical utility of this approach to support the accurate and early identification of students with language difficulties and disorders. WHAT THIS PAPER ADDS: What is already known on the subject Previous studies that used cut-point methods on scores from omnibus or domain-specific tests have shown that some children demonstrate improving or declining oral language trajectories throughout their years of school. However, these methods may not fully capture the complexity of language growth and change over time. What this paper adds to the existing knowledge This study offers new evidence on how a multidimensional assessment approach affects the classification and stability of language trajectories from school entry to Year 1. While a multidimensional approach identifies a greater number of children with language difficulties, it also reveals greater stability in language profiles over time, particularly for children with more significant challenges. What are the potential and actual clinical implications of this work? The findings reinforce the need to adopt multidimensional assessment practices in research and clinical settings. Importantly, the high stability of language profiles identified using this method may increase clinician confidence in accurately identifying language difficulties at school entry.