Communication is an important aspect of our ability to learn, interact with those around us, and participate successfully as a member of society (Tye-Murray, 2009). The ability to hear underlies communication, and thus identification of hearing impairment is highly important (Neumann et al., 2012). A battery of audiological tests is commonly used to identify and quantify hearing impairment; an important component of this is speech recognition testing. The University of Canterbury Auditory-Visual Matrix Sentence Test - Paediatric Version (UCAMST-P) was developed with the aim of adding a speech recognition test to the current audiological test battery used with paediatric populations in New Zealand, and was assessed with adult populations (Jenkins-Foreman, 2018). In this study, the UCAMST-P was piloted with children from six to 12 years of age with normal hearing. New sentence lists were also generated with the aim of improving equivalence of sentence list stimuli, and these were used in this study. The effect of age, ear tested, gender, household income, ethnicity, developmental factors, and academic achievement on UCAMST-P performance for this cohort of children was also investigated. Speech recognition threshold (SRT) scores were found to improve with age up to approximately 10 years, and then plateau for the remaining age groups. Sentence list equivalence was unable to be assessed statistically, but the sentence lists generated in this study varied less with regards to SRT scores than that used previously, as indicated by a smaller standard deviation. Co-variates were found to have no effect on UCAMST-P performance. The data collected in this study contributes towards the development of the UCAMST-P, increasing the feasibility of its future use in the paediatric audiological test battery in New Zealand.