Theory-of-Mind Development in Young Deaf Children With Early Hearing Provisions

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Deaf and hard-of-hearing (DHH) children born to hearing parents have profound theory-of-mind (ToM) delays, yet little is known about how providing hearing assistance early in life, through cochlear implants and hearing aids, influences their ToM development. We thus addressed (a) whether young DHH children with early hearing provision developed ToM differently than older children did in previous research and (b) what ToM understandings characterize this understudied population. Findings from 84 three- to six-year-old DHH children primarily acquiring spoken language demonstrated that accumulated hearing experience influenced their ToM, as measured by a five-step ToM scale. Moreover, language abilities mediated this developmental relationship: Children with more advanced language abilities, because of more time using cochlear implants and hearing aids, had better ToM growth. These findings demonstrate the crucial relationships among hearing, language, and ToM for DHH children acquiring spoken language, thereby addressing theoretical and practical questions about ToM development.

Related collections

Most cited references 39

Record: found
Abstract: not found
Article: not found

lavaan: AnRPackage for Structural Equation Modeling

Yves Rosseel (2012)

0 comments Cited 4136 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Book: not found

Principles and Practice of Structural Equation Modeling, Fourth Edition

Rex B. Kline (2015)

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examples of troublesome data, demonstrating how to handle typical problems in analyses. *Topic boxes on specialized issues, such as causes of nonpositive definite correlations. *Boxed rules to remember. *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.