APS

31st APS Annual Convention · 2019

On the Accuracy of Job-Related Affective Forecasts: A Text-Based Analysis

Washington, DC · May 2019

Poster · Industrial/Organizational

  • Linden Hughes
    George Mason University
  • Olivia Pagan
    George Mason University
  • Xue Lei
    George Mason University
  • Lydia Craig
    George Mason University
  • Carol Wong
    Affiliation: George Mason University
  • Jill Bradley-Geist
    University of Colorado Colorado Springs
  • Seth Kaplan
    George Mason University

Abstract

This study explores the accuracy of work-related affective forecasts (i.e., predictions about future emotions) with self-report survey data and text analysis (Linguistic Inquiry and Word Count). Using construal level theory (CLT) as a guiding framework, we analyzed components indicative of CLT to assess the relationship between time and affective predictions.

Affect

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