The digital reflection: Expressions of individual differences on Twitter

Organizations have grown increasingly cognizant of the role of social networking sites (SNS) as digital psychological environments where people express themselves and share their experiences. Information from SNS has become relevant to workplace decision-making as employers begin to leverage information from social media (SM) to guide decisions, often with little regard for validity or standardization. This paper evaluates the psychometric properties of SM assessment methods across two samples, including their ability to predict work outcomes. Results suggest evidence of reliability, construct validity, and limited predictive validity toward predicting organizational commitment, with some evidence of subgroup differences.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Psychology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Alzate Vanegas, Juan

Contributors dc:contributor

• Drasgow, Fritz
• Alexander, Leo
• Briley, D.A.
• Fraley, Robert C
• Zhang, Bo
• Zhang, Susu

• Individual Differences
• Social Media Analytics
• Multilevel Modeling
• Natural Language Processing

Statement dc:rights

• Copyright © 2024 Juan M. Alzate Vanegas. All Rights Reserved.

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/127241

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F127241