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Data · dataset · 2021

The Interpersonal Nature of Self-Talk Dataset

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/gn357a

This is the dataset associated with a daily diary study designed to explore the stylistic quality of people’s reflective self-talk and the effects of those qualities on emotion immediately following that self-talk.

Description

Participants engaged in reflective self-talk each day about one positive and one negative event from that day. Participants rated the emotional intensity of each daily event which served as the inspiration for an occasion of self-talk.

Occasions of self-talk were rated on the interpersonal circumplex octants with a novel measure created for this study (OLIPS), both by participants themselves and later by independent raters. Participants also reported their positive and negative affect following each instance of self-talk (I-PANAS-SF; Thompson, 2007). Participants also completed a number of trait-level measures either before the diary study or on a follow-up visit after the study: Interpersonal Self-Talk Scale (Price, 2015) Forms of Self-Criticising/Attacking & Self-Reassuring Scale (FSCRS; Gilbert et al., 2004) Revised Interpersonal Adjective Scales (IAS-R; Wiggins, Trapnell, & Phillips, 1988) Neuroticism Scale from the Big Five Version of the Revised Interpersonal Adjectives Scales (IASR-B5; Trapnell & Wiggins, 1990) Data was collected from university undergraduates in southern Ontario, Canada.

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The data set is associated with the following paper: Lefebvre, J.P., Sadler, S., Hall, A., & Woody, E. (2022). The interpersonal nature of self-talk: Variations across individuals and occasions. Journal of Personality and Social Psychology: Personality Processes and Individual Differences. doi.org/10.1037/pspp0000405

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences · Social Sciences
Inferred from text
Linguistics 70%
Provenance · 2 source records, 21 field assertions
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Borealisdoi:10.5683/SP2/GN357A9 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP2/GN357A8 d agoJSON v1
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