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Related Experiment Video

Updated: Jun 14, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

Evidence-based practice: a matrix for predicting phonological generalization.

Judith A Gierut¹, Lauren E Hulse

¹Department of Speech and Hearing Sciences, Indiana University, Bloomington, IN 47405-7002, USA. gierut@indiana.edu

Clinical Linguistics & Phonetics

|March 30, 2010

Summary

This summary is machine-generated.

This study introduces a phonological treatment matrix to guide clinicians in selecting therapy targets and monitoring progress. It uses research-backed factors to improve phonological generalization and facilitate evidence-based practice.

Related Experiment Videos

Last Updated: Jun 14, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

Area of Science:

Speech-Language Pathology
Linguistics
Child Development

Background:

Phonological disorders affect speech sound acquisition in children.
Selecting effective treatment targets is crucial for generalization.
Bridging research findings with clinical practice remains a challenge.

Observation:

A novel matrix integrates key factors influencing phonological generalization.
Factors include error patterns, implicational universals, developmental norms, and stimulability.
A case study demonstrates the matrix's application in clinical settings.

Findings:

The matrix provides a structured approach for selecting phonological treatment targets.
It aids in identifying probe sounds for monitoring intervention progress.
The matrix facilitates the translation of research into evidence-based clinical practice.

Implications:

Clinicians can use this matrix for more effective phonological intervention planning.
The tool supports data-driven decision-making in speech therapy.
This approach enhances the efficiency and effectiveness of treating phonological disorders.