The relationship between maternal conversational participation and unconventional language in autistic children: The moderating role of mother–child relative vocabulary diversity

This study aimed to determine whether there is a correlation between maternal conversational participation and the unconventional language of autistic children, and whether the relative vocabulary diversity between mother and child would affect the relationship between them. Participants were 39 autistic Mandarin-speaking children, aged 3–6 years, and their mothers. The mother–child interactions were video-recorded; then, all interactions of the conversations were corpus coded and subsequently analysed. Mother’s mean length of turn (MLT) was used as a measure of maternal conversational participation. The ratio of mother to child word types (Types m/c ) measures the mother-child relative vocabulary diversity. The results indicated a significant negative correlation between maternal conversational participation and the unconventional language of autistic children, and mother–child relative vocabulary diversity moderated the relationship between maternal conversational participation and the unconventional language of autistic children. We provide two specific excerpts of play situations showing the interaction of mothers with similar MLT but different Types m/c (Excerpt 1: High Types m/c , Excerpt 2: Low Types m/c ). The results provide insights for further research into the relationship between maternal input and autistic children’s language development.

Authors

Institutions

Publication Details

Journal
First Language
Published
2024-09-20
DOI
https://doi.org/10.1177/01427237241272547
Citations
1
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
0.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The relationship between maternal conversational participation and unconventional language in autistic children: The moderating role of mother–child relative vocabulary diversity

Xiaoyan Li, Yonghan Peng, Yumin Zhang, Ran Sun
1 citations
First Language
Language Development and Disorders
0.79
article

The relationship between maternal conversational participation and unconventional language in autistic children: The moderating role of mother–child relative vocabulary diversity

Xiaoyan Li, Yonghan Peng, Yumin Zhang, Ran Sun
article en
1 citations

Abstract

This study aimed to determine whether there is a correlation between maternal conversational participation and the unconventional language of autistic children, and whether the relative vocabulary diversity between mother and child would affect the relationship between them. Participants were 39 autistic Mandarin-speaking children, aged 3–6 years, and their mothers. The mother–child interactions were video-recorded; then, all interactions of the conversations were corpus coded and subsequently analysed. Mother’s mean length of turn (MLT) was used as a measure of maternal conversational participation. The ratio of mother to child word types (Types m/c ) measures the mother-child relative vocabulary diversity. The results indicated a significant negative correlation between maternal conversational participation and the unconventional language of autistic children, and mother–child relative vocabulary diversity moderated the relationship between maternal conversational participation and the unconventional language of autistic children. We provide two specific excerpts of play situations showing the interaction of mothers with similar MLT but different Types m/c (Excerpt 1: High Types m/c , Excerpt 2: Low Types m/c ). The results provide insights for further research into the relationship between maternal input and autistic children’s language development.

First LanguageVol. 45(1)
Ningbo University (CN), Wenzhou University (CN)
National Social Science Fund of China
Openalex Percentile: Top 21%
Language Development and Disorders
0.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.