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Journal ArticleDOI

Academically contingent self-worth and vulnerability: When approach self-validation goals are more threatening than avoidance self-validation goals

TLDR
This article found no evidence of vulnerability among participants who base self-worth on academics when avoidance self-validation goals were salient, and instead, it was when they aim to avoid demonstrating inability that participants' academically contingent selfworth most reliably predicted vulnerability.
Abstract
When are people who base their self-worth on academic competence vulnerable to negative outcomes such as anxiety and underperformance? One answer, according to decades of achievement goal research, seems obvious: when they aim to avoid demonstrating inability (called avoidance self-validation goals). Less clear is whether such vulnerability also exists when aiming to demonstrate ability (approach self-validation goals). Surprisingly, two studies found no evidence of vulnerability among participants who base self-worth on academics when avoidance self-validation goals were salient. Instead, it was when approach self-validation goals were salient that participants’ academically contingent self-worth most reliably predicted vulnerability. These results suggest that, within domains of contingency, people worry more about self-enhancement afforded by approach self-validation goals than about self-protection afforded by avoidance self-validation goals.

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Book

The Principles of Psychology

TL;DR: For instance, the authors discusses the multiplicity of the consciousness of self in the form of the stream of thought and the perception of space in the human brain, which is the basis for our work.
Journal Article

Knowing is half the battle.

Journal ArticleDOI

The Mediating Role of Global and Contingent Self-Esteem in the Association Between Emerging Adults’ Perceptions of Family Cohesion and Test Anxiety

TL;DR: In this article , the authors investigated the importance of family cohesion and self-esteem regarding test anxiety among emerging adults and found that the level and source of selfesteem must be considered.
Journal ArticleDOI

Social media discussion forums, home country and immigrant consumer acculturation: the case of Iranian immigrants in Australia

TL;DR: In this paper , a netnographic approach is used to collect data from a social media platform that provides an interactive social context in which Iranian immigrants in Australia share their experiences of immigration with non-immigrants who are considering and planning to migrate to Australia.
References
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Journal ArticleDOI

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Book

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
Book

Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach

TL;DR: In this paper, the authors present a discussion of whether, if, how, and when a moderate mediator can be used to moderate another variable's effect in a conditional process analysis.
Book

The Principles of Psychology

William James
TL;DR: For instance, the authors discusses the multiplicity of the consciousness of self in the form of the stream of thought and the perception of space in the human brain, which is the basis for our work.
Journal ArticleDOI

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, multiple regression is used to test and interpret multiple regression interactions in the context of multiple-agent networks. But it is not suitable for single-agent systems, as discussed in this paper.
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