Analysing and Reporting Talking Mats® research, an inclusive communication tool for practice and research

  • Nikita Hayden
  • , Jill Bradshaw*
  • , Sarah Hayward
  • , Joan Murphy
  • , Sally Boa
  • , Viktoria Eden
  • , Norman Alm
  • , Eliada Pampoulou
  • , Susanne Mischo
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Background:
Talking Mats® is a visual communication tool which can support people to express their views. Talking Mats has been used in research as a more inclusive data collection tool, however, analysing the varied data produced by Talking Mats is challenging, and there is a lack of guidance on how to analyse and report these data.

Objective:
We sought to provide an overview of ways in which Talking Mats data have been analysed and reported.

Methods:
We conducted a narrative review of studies that reported using Talking Mats to collect empirical data, to examine how these studies analysed and reported these data.

Results:
Studies used qualitative analysis techniques, such as: thematic, content, conversation, and framework analysis. Studies also reported clinical and research case studies and observations of non-verbal communication. Quantitative analyses were used less often, and involved transforming qualitative data into quantitative data (e.g., observing symbol placements). Many studies did not describe their methods in sufficient depth.

Conclusions:
We developed the Talking Mats Reporting Criteria to support researchers and practitioners to describe their Talking Mats protocols. These Reporting Criteria were developed iteratively and collaboratively between Talking Mats experts and members of the Talking Mats Research Network. Researchers and practitioners should describe their analytical approach in further detail and report the Talking Mats Effectiveness Framework of Functional Communication.
Original languageEnglish
Pages (from-to)69-84
Number of pages16
JournalTechnology and Disability
Volume36
Issue number3
Early online date27 May 2024
DOIs
Publication statusPublished - Aug 2024

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