Quantity and Complexity of Speech-Language Pathologists' Talk During School-Based Therapy.

Quantity and Complexity of Speech-Language Pathologists' Talk During School-Based Therapy.

Sun, Jing; Justice, Laura M; Jhuo, Rong-An; Jiang, Hui
American journal of speech-language pathology 2025 Vol. 34 pp. 646-660
23
sun2025quantity

Abstract

This study examined the quantity and complexity of speech-language pathologists' (SLPs') talk during therapy with school-aged children and explored the extent to which SLP- and session-level characteristics contribute to the variability in SLP talk quantity, grammatical complexity, and lexical complexity during therapy. We used secondary data collected from 209 business-as-usual therapy session recordings collected in the fall of the school year involving 75 SLPs and 281 kindergarten, first-, and/or second-grade students. Students were receiving services for language disorder and had therapy goals targeting various domains of language. SLP talk was coded to capture various aspects of quantity and complexity. SLPs with more years of experience tended to produce a lower quantity of talk, whereas higher levels of time pressure were associated with increased quantity of talk as well as grammatical and lexical complexity. In addition, session length, mean age of children, and children's phonological awareness scores were significantly associated with SLP talk quantity, grammatical complexity, and lexical complexity. This study adds to the evidence for the variability of SLP talk. SLP talk quantity and complexity are related to SLPs' years of experience and time pressure. Session-level predictors suggest grouping strategies for therapy sessions.

Citation

ID: 282540
Ref Key: sun2025quantity
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
282540
Unique Identifier:
10.1044/2024_AJSLP-24-00303
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet