Quantifying the Relationship Between Child and Caregiver Speech Using Generalized Estimating Equations: The Case of \'only\'
- Lindsay Hracs (University of Calgary)
Abstract
One of the difficulties involved in modelling longitudinal data is that repeated measurements over time introduce a violation of independence. Standard Generalized Linear Models are not robust to this violation. However, Generalized Estimating Equations (GEEs) take correlations between data points into consideration making them useful for such tasks. This paper examines the use of GEEs to model the relationship between child-directed and child-produced speech, focusing on the role of input in the acquisition of only. The study shows that the frequency of occurrence of only in child-directed speech is a significant predictor of the frequency of occurrence of only in child-produced speech.
Keywords: Generalized Estimating Equations, Modelling Language Development, Child-directed Speech, Child-produced Speech, Focus Sensitive Particles
How to Cite:
Hracs, L., (2019) “Quantifying the Relationship Between Child and Caregiver Speech Using Generalized Estimating Equations: The Case of \'only\'”, Society for Computation in Linguistics 2(1), 381-382. doi: https://doi.org/10.7275/tc6n-x190
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