Self-report of self-disclosure statements for stuttering
- PMID: 30286946
- PMCID: PMC7641011
- DOI: 10.1016/j.jfludis.2018.09.004
Self-report of self-disclosure statements for stuttering
Abstract
Purpose: To (1) analyze verbatim wording used by adults who stutter (AWS) to self-disclose stuttering, (2) determine contexts in which AWS may self-disclose, (3) examine the use of self-disclosure by AWS about other aspects of their identity, and (4) investigate the ways in which speech-language pathologists (SLPs) develop self-disclosure statements with AWS.
Method: Web-based questionnaires were administered to AWS (N = 42) and SLPs (N = 33) who work with AWS. The AWS questionnaire asked about the verbatim wording of self-disclosure statements used by AWS and the contexts in which they utilize them. For SLPs, the questionnaire probed how and why they work with AWS to formulate self-disclosure statements. Responses were openly coded and then funneled into concepts for analysis.
Results: The majority of AWS provided verbatim self-disclosure statements which were educational in nature. However, when responding to fixed choices and when reporting on self-disclosing other aspects of their lives, the majority of participants selected a direct statement. The majority of AWS reported that they self-disclose when interviewing for a job. SLPs reportedly instruct their clients to use educational self-disclosure statements. SLPs also reported that they use an individualized approach to brainstorming self-disclosure statements. Finally, SLPs reported that they find self-disclosure beneficial because it facilitates self-empowerment for AWS.
Conclusion: AWS may benefit from learning about the type of self-disclosure statements and the contexts in which other AWS chose to disclose. Additionally, SLPs who work with AWS may benefit from the reported procedures for and types of self-disclosure statements formulated by AWS.
Keywords: Self-advocacy; Self-disclosure; Stuttering; Treatment.
Copyright © 2018 Elsevier Inc. All rights reserved.
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