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Research in normal and disordered phonology requires measures of speech production that are biolinguistically appropriate and psychometrically robust. Their conceptual and numeric properties must be well characterized, particularly because speech measures are increasingly appearing in large-scale epidemiologic, genetic, and other descriptive-explanatory database studies. This work provides a rationale for extensions to an articulation competence metric titled the Percentage of Consonants Correct PCC; Shriberg Shriberg, Kwiatkowski, Best, Hengst, & Terselic-Weber, 1986, which is computed from a 5- to 10-minute conversational speech sample. Reliability and standard error of measurement estimates are provided for 9 of a set of 10 speech metric including the PCC. Discussion includes rationale for selecting one or more of the 10 metrics for specific clinical and research needs.
Shriberg et al. (Fri,) studied this question.