Identification of children's stuttered and nonstuttered speech by highly experienced judges: binary judgments and comparisons with disfluency-types definitions.
OBJECTIVE
The purposes of this study were (a) to determine whether highly experienced clinicians and researchers agreed with each other in judging the presence or absence of stuttering in the speech of children who stutter and (b) to determine how those binary stuttered/nonstuttered judgments related to categorizations of the same speech based on disfluency-types descriptions of stuttering.


METHODS
Eleven highly experienced judges made binary judgments of the presence or absence of stuttering for 600 audiovisually recorded 5-s speech samples from twenty 2- to 8-year-old children who stuttered. These judgments were compared with each other and with disfluency-types judgments in multiple interval-by-interval assessments and by using multiple definitions of agreement.


RESULTS
Interjudge agreement for the highly experienced judges in the binary stuttered/nonstuttered task varied from 39.0% to 89.1%, depending on methods and definitions used. Congruence between binary judgments and categorizations based on disfluency types also varied depending on methods and definitions, from 21.6% to 100%.


CONCLUSIONS
Agreement among highly experienced judges, and congruence between their binary judgments of stuttering and categorizations based on disfluency types, were relatively high using some definitions and very low using others. These results suggest the use of measurement methods other than those based on disfluency types for quantifying or describing children's stuttering. They also suggest both the need for, and potential methods for, training to increase judges' accuracy and agreement in identifying children's stuttering.
Bothe
Anne K
AK
Department of Communication Sciences and Special Education, The University of Georgia, Athens, GA 30602, USA. abothe@uga.edu
D002648:Child; D006801:Humans; D007600:Judgment; D015588:Observer Variation; D013067:Speech Perception; D013342:Stuttering / Q000175:diagnosis* / Q000453:epidemiology*