The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
Language Sample Analysis in Clinical Practice: Speech-Language Pathologists' Barriers, Facilitators, and Needs
Open accessAbstract
Purpose Most speech-language pathologists (SLPs) working with children with developmental language disorder (DLD) do not perform language sample analysis (LSA) on a regular basis, although they do regard LSA as highly informative for goal setting and evaluating grammatical therapy. The primary aim of this study was to identify facilitators, barriers, and needs related to performing LSA by Dutch SLPs working with children with DLD. The secondary aim was to investigate whether a training would change the actual performance of LSA. Method A focus group with 11 SLPs working in Dutch speech-language pathology practices was conducted. Barriers, facilitators, and needs were identified using thematic analysis and categorized using the theoretical domain framework. To address the barriers, a training was developed using software program CLAN. Changes in barriers and use of LSA were evaluated with a survey sent to participants before, directly after, and 3 months posttraining. Results The barriers reported in the focus group were SLPs' lack of knowledge and skills, time investment, negative beliefs about their capabilities, differences in beliefs about their professional role, and no reimbursement from health insurance companies. Posttraining survey results revealed that LSA was not performed more often in daily practice. Using CLAN was not the solution according to participating SLPs. Time investment remained a huge barrier. Conclusions A training in performing LSA did not resolve the…
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“interpreting the output of ML models and other computerized analysis systems may not be intuitive for non-experts and new users, which could ultimately lead to frustration and abandonment of automated tools, or of LSA as an assessment approach in general (Klatte et al., 2022).”
From Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches (2025) · cites this paper as Klatte et al., 2022
In the citing paper
“SLPs report a lack of time and training as major barriers to the feasibility of LSA (Pavelko et al., 2016; Klatte et al., 2022).”
From Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches (2025) · cites this paper as Klatte et al., 2022
Citations
Cites
Tong, A., Sainsbury, P., & Craig, J. (2007) · International Journal for Quality in Health Care · doi:10.1093/intqhc/mzm042 · Cited by 42,509
Cane, J., O’Connor, D., & Michie, S. (2012) · Implementation Science · doi:10.1186/1748-5908-7-37 · Cited by 4,888
The CHILDES project: tools for analyzing talk
MacWhinney, B. (1992) · Child Language Teaching and Therapy · doi:10.1177/026565909200800211 · Cited by 3,421
Children with Specific Language Impairment
Leonard, L. B. (2014) · doi:10.7551/mitpress/9152.001.0001 · Cited by 2,619
(2014) · Cited by 2,276
Mayer, M. (1969) · Medical Entomology and Zoology · Cited by 1,002
Bishop, D. V. M., Snowling, M. J., Thompson, P. A., Greenhalgh, T., & CATALISE consortium (2016) · PLOS ONE · doi:10.1371/journal.pone.0158753 · Cited by 831
Scarborough, H. S. (1990) · Applied Psycholinguistics · doi:10.1017/s0142716400008262 · Cited by 517
Properties of the Narrative Scoring Scheme Using Narrative Retells in Young School-Age Children
Heilmann, J. J., Miller, J. F., Nockerts, A., & Dunaway, C. (2010) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2009/08-0024 · Cited by 330
Language Sampling: Does the Length of the Transcript Matter?
Heilmann, J. J., Nockerts, A., & Miller, J. F. (2010) · Language Speech and Hearing Services in Schools · doi:10.1044/0161-1461(2009/09-0023 · Cited by 194
Research works printed but not linked: 7
- Jansonius, K. , Ketelaars, M. , Borgers, M. , Van den Heuvel, E. , Roeyers, H. , Manders, E. , & Zink, I. (2014). Renfrew Taalschalen Nederlandse Aanpassing [Renfrew Language Scales Dutch Adaptation] . Antwerpen/Apeldoorn.
- Kort, W. , Compaan, E. , Schittekatte, M. , & Dekker, P. (2010). CELF-4-NL Test voor diagnose en evaluatie van taalproblemen [CELF-4-NL Test for diagnosis and evaluation of language problems] . Pearson Assessment and Information.
- Gerrits, E. , de Jong, J. , Zwitserlood, R. , & Klatte, I. (2019). The Netherlands vignette. In J. Law , C. Murphy , C. McKean , & E. Thordardottir (Eds.), The theory and practice of managing the child with language impairment—Across Europe and beyond. Routledge.
- Miller, J. (2010). Systematic Analysis of Language Transcripts (SALT): English version 2010 [Computer software] . SALT Software.
- Schlichting, L. (2017). TARSP Taal Analyse Remediëring en Screening Procedure: taalontwikkelingsschaal van Nederlandse kinderen van 1–4 jaar met aanvullende structuren tot 6 jaar [Language Analysis Remediation and Screening Procedure: Language development scale of Dutch children aged 1–4 years with additional structures until age 6 years] . Pearson.
- Van Ierland, M. (1980). In J. Verbeek , L. van den Dungen , & A. Bakker (Eds.), Spontane Taal Analyse Procedure (STAP). Verantwoording van het STAP-instrument [Spontaneous Language Analysis Procedure (STAP). Scientific justification of the STAP-instrument] . Universiteit van Amsterdam.
- Wiegers, J. J. (1996). GRAMAT op basis van 50 uitingen [Grammatical analysis of developmental language disorders based on 50 utterances]. Logopedie en Foniatrie, 68, 125–128.
Cited by
Ramos, M. N., Collins, P., & Peña, E. D. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00121 · Cited by 37
Yang, J. S., Rosvold, C., & Ratner, N. B. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.905789 · Cited by 32
Larson, C., Rivera-Figueroa, K., Thomas, H., FEIN, D. A., Stevens, M. C. G., & Eigsti, I. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103043 · Cited by 22
The Evolution of an Innovative Online Task to Monitor Children's Oral Narrative Development
Scott, A., Gillon, G. T., McNeill, B., & Kopach, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.903124 · Cited by 18
Should We Stop Using Lexical Diversity Measures in Children's Language Sample Analysis?
Ratner, N. B., Han, Y., & Yang, J. S. (2024) · American Journal of Speech-Language Pathology · doi:10.1044/2024_ajslp-23-00457 · Cited by 22
Metadata
- Authors
- Klatte, I. S., van Heugten, V., Zwitserlood, R., & Gerrits, E.
- Affiliations
- University of Applied Sciences Utrecht (NL)
- Venue
- Language, Speech, and Hearing Services in Schools
- Published
- 2022-01-05
- Volume
- 53
- Issue
- 1
- Pages
- 1-16
- ISSN
- 0161-1461 (ISSN-L)
- 1558-9129
- OpenAlex
- W3210043497
- Cited by
- 49
- References
- 34
- Citations by year
- 2026: 11 · 2025: 7 · 2024: 13 · 2023: 12 · 2022: 6
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Language Speech and Hearing Services in Schools (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Funders
- Nationaal Regieorgaan Praktijkgericht Onderzoek SIA
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Social Sciences › Psychology › Clinical Psychology › Stuttering Research and Treatment
- Keywords
- language sample analysis, speech-language pathologists, specific language impairment, children, barriers and facilitators, professional training, time investment, health insurance reimbursement, professional beliefs, co-design, narrative task
- MeSH terms
- Pathologists, Attitude of Health Personnel, Child, Humans, Language, Surveys and Questionnaires, Speech, Speech-Language Pathology
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- Klatte, I. S., van Heugten, V., Zwitserlood, R., & Gerrits, E. (2022). Language Sample Analysis in Clinical Practice: Speech-Language Pathologists' Barriers, Facilitators, and Needs. Language, Speech, and Hearing Services in Schools. https://doi.org/10.1044/2021_lshss-21-00026
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.