Advanced search
Publication Cover
Aphasiology Volume 37, 2023 - Issue 10
Submit an article Journal homepage
905
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

An examination of sample length and reliability of the Interactional Network Tool, a new measure of group interactions in acquired brain injury

Susan Howella Division of Psychology and Language Sciences, University College LondonCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8329-7529
, PhDORCID Icon,
Suzanne Beekea Division of Psychology and Language Sciences, University College LondonORCID Iconhttps://orcid.org/0000-0002-6772-2820
, PhDORCID Icon,
Emma Louise Sinnottb Aneurin Bevan University Health Board, WalesORCID Iconhttps://orcid.org/0000-0002-4673-2448
ORCID Icon,
Rosemary Varleya Division of Psychology and Language Sciences, University College LondonORCID Iconhttps://orcid.org/0000-0002-1278-0601
, PhDORCID Icon &
Tim Pringc Division of Language and Communication Science, City, University of LondonORCID Iconhttps://orcid.org/0000-0002-3671-7471
, PhDORCID Icon
Pages 1646-1660 | Received 19 Mar 2022, Accepted 25 Aug 2022, Published online: 04 Sep 2022

Figures & data

Figure 1. The INT interactional matrix and graph visualisation.

Figure 1. The INT interactional matrix and graph visualisation.

Table 1. Demographic variables.

Table 2. The INT coding system.

Table 3. Intra-class correlations (ICC 3,1) with confidence intervals (CI) 95% across four sample lengths for interaction codes 1-7.

Table 4. Reliability evaluation of the non-linguistic initiation behaviours combined in code 3.

Figure 2. An illustration of INT initiation and response frequencies and proportions across four sample lengths for Erin and her co-participants.

Figure 2. An illustration of INT initiation and response frequencies and proportions across four sample lengths for Erin and her co-participants.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.