A Bayesian Meta-Analysis of Lexical Priming and Reaction Time in Children With and Without Developmental Language...

Area of Science:

• Cognitive Science
• Developmental Psychology
• Linguistics

Background:

• Children with developmental language disorder (DLD) often face linguistic challenges.
• Predictive processing deficits are hypothesized to underlie these difficulties.
• Previous research on lexical priming in DLD shows conflicting results, with some indicating impairment and others suggesting compensatory enhancement.

Purpose of the Study:

• To investigate lexical priming and reaction time (RT) differences in children with DLD versus typical language development (TLD) using Bayesian meta-analysis.
• To examine the influence of priming type (semantic, form-based) and response type (button press, verbal) as moderators.

Main Methods:

• A Bayesian meta-analysis was conducted on 19 studies involving 360 children with DLD and 369 children with TLD.
• Outliers were removed, and analyses focused on lexical priming effects and overall RTs.
• Moderator analyses explored priming and response types.

Main Results:

• Both DLD and TLD groups demonstrated lexical priming effects.
• Group differences in priming effects were negligible (slightly larger in TLD).
• Significant medium-magnitude differences were found in overall RTs, with TLD groups responding faster.

Conclusions:

• Children with DLD do not exhibit impaired lexical priming compared to TLD peers.
• Slower processing speeds in DLD may explain previous contradictory findings.
• Bayesian meta-analysis provides a robust approach for clinical research with small samples, de-emphasizing significance testing.