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What You Say and How You Say It

Analysis of Speech Content and Speech Fluency as Predictors of Judged Self-Disclosure

Bibliographic Data

ID21209387
AuthorsYossi Levi‐Belz (0000-0002-8865-5639, Ruppin Academic Center, corresponding author), Yossi Levi-Belz (Ruppin Academic Center), Hamutal Kreiner (0000-0001-6376-8277, Ruppin Academic Center)
Year2016
Volume7
Issue3
Pages232-239
Publication date2016-04-01
Open AccessYes
TypeARTICLE
VenueSocial Psychological and Personality Science (JOURNAL)
Journal identifiersISSN: 1948-5506 • E-ISSN: 1948-5514
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1948550616632575
OpenAlexW2282753312
LanguageEN
Citations received2
References cited12

Self-disclosure (SD) in interpersonal interaction is essentially a verbal behavior. The present study focused on this behavior and examined how it is related to two other aspects of SD, namely, subjective SD and SD as judged by others (JSD). Participants were interviewed, and their recorded responses were presented to judges who rated their JSD levels. Analysis of speech content and speech fluency of participants’ responses significantly correlated with JSD but not with subjective SD. Regression analysis revealed that linguistic parameters provided good prediction of JSD, whereas self-reported SD measures failed to predict the judges’ ratings. These findings highlight the close relationship between linguistic measures and JSD while suggesting that the subjective SD is poorly correlated with these measures. Future research exploring the gap between subjective and judges SD may highlight situational factors that affect SD and pave the way for better understanding of the dynamics of SD in interpersonal interactions

Developmental psychology · Fluency · Interpersonal communication · Interpersonal interaction · Interpersonal relationship · Situational ethics · Communication · Digital Communication and Language · Discourse Analysis in Language Studies · Mental Health via Writing · Psychology · Social Psychology

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Citations per year1
Citation span2024 - 2024 (1)
Highly citedNo

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