Masters Theses

Abstract

"The current discussion on the use of social networking sites (SNS) in personnel selection is mixed at best. The present research utilized participant's Facebook profiles to determine if raters can correctly - and accurately evaluate work value dimensions as a measure of person-organization fit. Similar research was successful in capturing personality dimensions via SNS (Buffardi & Campbell, 2009). Additionally, the value dimensions of the current measure used -- the Organizational Culture Profile (OCP) (O'Reilly et al., 1991) has been correlated with aspects of personality. Rater participants (N=105). Every five raters were randomly assigned five profiles to rate, for a total of 525 ratings. Participant Facebook profiles were collected from Amazon Mechanical -Turk participants (N = 99). Profiles were rated using the 54 - item OCP. Impression management was assessed using Paulhaus, (1988) 40 - item measure of balanced inventory of desirable responding. Based on a principle components analysis the original OCP factor structure was unstable. A suitable factor structure of six dimensions based on Sarros et al., (2005) was used. Scale indices were created for every profile rated and agreement and interrater reliability calculated. A wide range of average ICC (2,k) indices emerged the majority of ratings failing to meet standardized ICC thresholds. rwg indices were also calculated and were sufficient acceptable. Correlations of rater accuracy were conducted and found little to no accuracy. Moderation analyses of impression management also fell short. Untrained raters do not appear to be able to accurately or reliably rate individual's values via viewing their Facebook profiles. This has substantial implications for hiring managers"--Abstract, page iii.

Advisor(s)

Weidner, Nathan W.

Committee Member(s)

Reynolds Kueny, Clair
Cundiff, Jessica L.

Department(s)

Psychological Science

Degree Name

M.S. in Industrial-Organizational Psychology

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2017

Pagination

viii, 81 pages

Note about bibliography

Includes bibliographical references (pages 73-80).

Rights

© 2017 Andrew James Eyberg, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11164

Electronic OCLC #

1003131007

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Psychology Commons

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