dc.contributor.author | Pezold, Mollee J. | |
dc.contributor.author | Imgrund, Caitlin M. | |
dc.contributor.author | Storkel, Holly L. | |
dc.date.accessioned | 2021-09-10T17:41:40Z | |
dc.date.available | 2021-09-10T17:41:40Z | |
dc.date.issued | 2020-01-08 | |
dc.identifier.citation | Pezold, M. J.,* Imgrund, C., & Storkel, H. L. (2020). Using computer programs for language sample analysis with preschool children. Language, Speech, and Hearing Services in Schools, 51, 103-114. https://doi.org/10.1044/2019_LSHSS-18-0148 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/31891 | |
dc.description.abstract | Purpose: Although language sample analysis is widely recommended for assessing children's expressive language, few school-based speech-language pathologists routinely use it, citing a lack of time, resources, and training (pavelko, owens, ireland, & hahs-vaughn, 2016). The purpose of this clinical tutorial is (a) to describe options for language sample analysis using computer programs and (b) to demonstrate a process of using language sample analysis focused on the assessment of 2 preschool children as case studies.Method: We provide an overview of collecting and analyzing child language samples and describe 3 programs for language sample analysis: 2 dedicated software programs (computerized language analysis [macwhinney, 2000] and systematic analysis of language transcripts [miller & iglesias, 2015]) and 1 protocol for using word processing software to analyze language samples (sampling utterances and grammatical analysis revised; pavelko & owens, 2017). We also present analysis results from each program for play-based language samples from 2 preschool children and detailed analysis of the samples with potential treatment goals.Results: Each program offers different analyses, comparison databases, and sampling contexts. We present options for additional analysis, clinical interpretations, and potential treatment goals based on the 2 preschool cases.Conclusion: Clinicians can use computer programs for language sample analysis as part of a process to make naturalistic language assessment more feasible. | en_US |
dc.publisher | American Speech-Language-Hearing Association | en_US |
dc.rights | Copyright © 2020 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | en_US |
dc.title | Using Computer Programs for Language Sample Analysis | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Pezold, Mollee J. | |
kusw.kuauthor | Storkel, Holly L. | |
kusw.kudepartment | Speech-Language-Hearing | en_US |
dc.identifier.doi | 10.1044/2019_LSHSS-18-0148 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0002-3995-4712 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0001-6533-6224 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess | en_US |