|USFDC Home | USF Electronic Theses and Dissertations||| RSS|
This item is only available as the following downloads:
xml version 1.0 encoding UTF-8 standalone no
record xmlns http:www.loc.govMARC21slim xmlns:xsi http:www.w3.org2001XMLSchema-instance xsi:schemaLocation http:www.loc.govstandardsmarcxmlschemaMARC21slim.xsd
leader nam Ka
controlfield tag 001 001935427
007 cr mnu|||uuuuu
008 080423s2007 flu sbm 000 0 eng d
datafield ind1 8 ind2 024
subfield code a E14-SFE0002259
Schmidt, Gregory F.
The effect of thin slicing on structured interview decisions
h [electronic resource] /
by Greg F. Schmidt.
[Tampa, Fla.] :
b University of South Florida,
ABSTRACT: This study examined whether hiring recommendations based on thin slices of a structured interview were associated with recommendations based on the interview in its entirety. After viewing 12 seconds of silent interviewee behavior, participants made hiring recommendations that were significantly correlated with those produced by individuals viewing a still-frame of the interview and the entire interview. In an effort to determine what sources of information participants were using to arrive at their recommendations, nonverbal behaviors were examined in detail. Applicants who appeared attentive, not anxious, competent, confident, dominant, optimistic, and professional were more likely to receive positive hiring recommendations than others. Additional analyses reveal that these nonverbal behaviors impact hiring recommendations in both the still-frame and thin-slice video conditions after controlling for applicant physical attractiveness. Overall, results indicate that despite the availability of verbal content, interviewers may be heavily influenced by their first 12-second impression of a job applicant.
Thesis (M.A.)--University of South Florida, 2007.
Includes bibliographical references.
Text (Electronic thesis) in PDF format.
System requirements: World Wide Web browser and PDF reader.
Mode of access: World Wide Web.
Title from PDF of title page.
Document formatted into pages; contains 56 pages.
Advisor: Walter Borman, Ph.D.
t USF Electronic Theses and Dissertations.