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A meta-analysis of the effects of speakers' accents on interpersonal evaluations

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TLDR
This article conducted a meta-analysis of the empirical literature on the effects of speakers' accents on interpersonal evaluations and found that the effect was particularly strong when American Network accented speakers were compared with non-standard-accented speakers.
Abstract
This paper reports a meta-analysis of the empirical literature on the effects of speakers’ accents on interpersonal evaluations. Our review of the published literature uncovered 20 studies that have compared the effects of standard accents (i.e., the accepted accent of the majority population) versus non-standard accents (i.e., accents that are considered foreign or spoken by minorities) on evaluations about the speakers. These 20 studies yielded 116 independent effect sizes on an array of characteristics that were selected by the original researchers. We classified each of the characteristics as belonging to one of three domains that have been traditionally discussed in this area, namely status (e.g., intelligence, social class), solidarity (trustworthiness, in-group–out-group member), and dynamism (level of activity and liveliness). The effect was particularly strong when American Network accented speakers were compared with non–standard-accented speakers. These results underscore prior research showing that speakers’ accents have powerful effects on how others perceive them. These and other results are discussed in the context of the literature along with implications for future research in this area. Copyright © 2011 John Wiley & Sons, Ltd.

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I Don't Like You Because You're Hard to Understand: The Role of Processing Fluency in the Language Attitudes Process

TL;DR: This article examined the effects of processing fluency on language attitudes toward native-and foreign-accented speech, and found that noisier conditions reduced fluency, elicited a more negative affective reaction, and resulted in more negative language attitudes.
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Expectations and speech intelligibility

TL;DR: A misalignment between an expected and an observed speech signal for the face-prime trials is suggested, which indicates that social information about a speaker can trigger linguistic associations that come with processing benefits and costs.
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The fluency principle: Why foreign accent strength negatively biases language attitudes

TL;DR: This article found that heavy foreign-accented speakers are perceived as more prototypical (representative) of their respective group and their speech disrupts listeners' processing fluency (i.e., is more difficult to process).
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Attitudes towards foreign accents among adult multilingual language users

TL;DR: The authors investigated inter-individual variation (linked to personality traits, multilingualism and sociobiographical variables) in the attitudes that 2035 multilinguals have of their own and others' foreign accent (FA).
Journal ArticleDOI

How non-native English-speaking staff are evaluated in linguistically diverse organizations: A sociolinguistic perspective

TL;DR: In this article, the effects of evaluations of non-native speaking staff's spoken English in international business settings are examined, along the dimensions of status, solidarity and dynamism, the ways in which nonnative speakers on the basis of their spoken English are evaluated by themselves and by listeners.
References
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Book

Practical Meta-Analysis

TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.
Journal ArticleDOI

A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition.

TL;DR: Contrary to antipathy models, 2 dimensions mattered, and many stereotypes were mixed, either pitying (low competence, high warmth subordinates) or envying (high competence, low warmth competitors).
Book

Methods of Meta-Analysis: Correcting Error and Bias in Research Findings

TL;DR: In this article, the authors present a meta-analysis of Artifact Distributions and their impact on study outcomes. But they focus mainly on the second-order sampling error and related issues.
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