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Predicting attitudes related to stuttering from an international database
1Department of Communication Sciences & Disorders, West Virginia University, Morgantown, WV, United States.
Geographic region is the strongest predictor of attitudes toward stuttering, more so than personal contact or demographic factors. Understanding these regional differences is key to improving public and professional perceptions of stuttering.
Area of Science:
- Speech and Communication Disorders
- Psychology
- Sociology
Background:
- Public and professional attitudes toward stuttering have been studied for 50 years.
- Previous research identified numerous variables predicting attitudes, but results were inconsistent.
- This study aimed to systematically compare and quantify the predictive strength of various factors.
Purpose of the Study:
- To compare a wide range of potential predictors of attitudes toward stuttering.
- To quantify the predictive strength of these variables.
- To analyze predictors for "Beliefs about stuttering" and "Self Reactions to people who stutter" scores.
Main Methods:
- Retrospective analysis of a database of 22,413 respondents from 44 countries.
- Utilized the Public Opinion Survey of Human Attributes-Stuttering (POSHA-S) in 26 languages.
- Analyzed 37 predictors using linear regression models for three dependent variables (Beliefs, Self Reactions, Overall Stuttering Score).
Main Results:
- Geographic region, country, and language were the strongest predictors, particularly for "Beliefs about stuttering".
- Personal knowledge of stuttering or people who stutter had moderate predictive power for "Self Reactions" but weak power for "Beliefs".
- Demographic factors like sex, age, and education level showed weak predictive potential, while regional differences were consistently significant.
Conclusions:
- Geographic region is a significant and consistent predictor of attitudes toward stuttering.
- "Beliefs about stuttering" and "Self Reactions" measure distinct constructs with different predictive patterns.
- Findings confirm regional variations and highlight the need to consider these differences in interventions.
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