College
College of Behavioral and Community Sciences
Mentor Information
M. Adelaida Restrepo
Description
By integrating technology into assessment protocols, administration becomes more streamlined and scores become quicker to calculate. It opens doors for portable evaluations and data, efficient result analysis, and easily searchable records. To take advantage of these benefits, this project developed a digital version of the form used in the Spanish Screener for Language Impairment in Children (SSLIC). SSLIC screens Spanish-English bilingual children for the risk of DLD, utilizing subtests focused on morphology, sentence repetition, and other language-specific measures. Through the survey and database management tool REDCap, each section of SSLIC’s protocol was converted into a digital survey for researchers to administer. The resulting data of each evaluation were organized into scalable variables used to calculate the child’s score. SSLIC’s digitization allows for a modernized result database and offers an opportunity for researchers to further integrate technology into both standardized and their own assessments. Use of the digitized measure and scoring will allow monolingual English-speaking clinicians to screen for bilingual children in Spanish, providing early identification to a population often under referred.
Digitizing an Assessment Protocol to Screen Bilingual Children for Developmental Language Disorder Risk
By integrating technology into assessment protocols, administration becomes more streamlined and scores become quicker to calculate. It opens doors for portable evaluations and data, efficient result analysis, and easily searchable records. To take advantage of these benefits, this project developed a digital version of the form used in the Spanish Screener for Language Impairment in Children (SSLIC). SSLIC screens Spanish-English bilingual children for the risk of DLD, utilizing subtests focused on morphology, sentence repetition, and other language-specific measures. Through the survey and database management tool REDCap, each section of SSLIC’s protocol was converted into a digital survey for researchers to administer. The resulting data of each evaluation were organized into scalable variables used to calculate the child’s score. SSLIC’s digitization allows for a modernized result database and offers an opportunity for researchers to further integrate technology into both standardized and their own assessments. Use of the digitized measure and scoring will allow monolingual English-speaking clinicians to screen for bilingual children in Spanish, providing early identification to a population often under referred.
