PURPOSE: This study was designed to derive cut scores for English testing for use in identifying specific language impairment (SLI) in bilingual children who were learning English as a second language. METHOD: In a 1-gate design, 167 children received comprehensive language assessments in English and Spanish during their first-grade year. The reference standard was identification by a team of expert bilingual speech-language pathologists. Receiver operating curve (ROC) analyses were used to identify the optimal prediction model for SLI. RESULTS: The original, English EpiSLI criteria (Tomblin, Records, & Zhang, 1996) yielded a sensitivity of .95 and a specificity of .45 (LR+ = 1.73, LR- = 0.11, and AUC = .79) for our bilinguals. Revised cutoff scores yielded a sensitivity of .86 and a specificity of .68 (LR+ = 2.67, LR- = 0.21, and AUC = .77). An optimal prediction model yielded a sensitivity of .81 and a specificity of .81 (LR+ = 4.37, LR- = 0.23 and AUC = .85). CONCLUSION: The results of English testing could be used to make a reasonably accurate diagnostic decision for bilingual children who had attended public school for at least 1 year and were using English at least 30% of the time.
PURPOSE: This study was designed to derive cut scores for English testing for use in identifying specific language impairment (SLI) in bilingual children who were learning English as a second language. METHOD: In a 1-gate design, 167 children received comprehensive language assessments in English and Spanish during their first-grade year. The reference standard was identification by a team of expert bilingual speech-language pathologists. Receiver operating curve (ROC) analyses were used to identify the optimal prediction model for SLI. RESULTS: The original, English EpiSLI criteria (Tomblin, Records, & Zhang, 1996) yielded a sensitivity of .95 and a specificity of .45 (LR+ = 1.73, LR- = 0.11, and AUC = .79) for our bilinguals. Revised cutoff scores yielded a sensitivity of .86 and a specificity of .68 (LR+ = 2.67, LR- = 0.21, and AUC = .77). An optimal prediction model yielded a sensitivity of .81 and a specificity of .81 (LR+ = 4.37, LR- = 0.23 and AUC = .85). CONCLUSION: The results of English testing could be used to make a reasonably accurate diagnostic decision for bilingual children who had attended public school for at least 1 year and were using English at least 30% of the time.
Authors: Anny Castilla-Earls; Lisa Bedore; Raúl Rojas; Leah Fabiano-Smith; Sonja Pruitt-Lord; María Adelaida Restrepo; Elizabeth Peña Journal: Am J Speech Lang Pathol Date: 2020-08-04 Impact factor: 2.408
Authors: Stephanie M Grasso; Elizabeth D Peña; Lisa M Bedore; J Gregory Hixon; Zenzi M Griffin Journal: J Speech Lang Hear Res Date: 2018-03-15 Impact factor: 2.297
Authors: Alisa Baron; Lisa M Bedore; Elizabeth D Peña; Samantha D Lovgren-Uribe; Amanda A López; Elizabeth Villagran Journal: Am J Speech Lang Pathol Date: 2018-08-06 Impact factor: 2.408
Authors: Javier Jasso; Stephanie McMillen; Jissel B Anaya; Lisa M Bedore; Elizabeth D Peña Journal: Am J Speech Lang Pathol Date: 2020-04-21 Impact factor: 2.408
Authors: Kathleen Durant; Elizabeth Peña; Anna Peña; Lisa M Bedore; María R Muñoz Journal: J Speech Lang Hear Res Date: 2019-09-12 Impact factor: 2.297