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Putting image repair to the test : quantitative applications of image restoration theory / edited by Joseph R. Blaney.

Contributor(s): Material type: TextTextPublication details: Lanham ; Lexington Books, [2016]Description: 1 online resourceContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781498517744
  • 1498517749
Subject(s): LOC classification:
  • HD59.2 .P88 2016
Contents:
Introduction: image restoration theory: time for the quantitative turn / Joseph R. Blaney -- Effects of image repair strategies / William L. Benoit -- Examining the impact of message strategy on organizational image / Patric R. Spence, Kenneth A. Lachlan, and Leah M. Omilion-Hodges -- Exploring the alignment of image repair tactics to audience type / John Gribas, James DiSanza, Nancy Legge, Karen Hartman, and Casey Santee -- Crisis communication effectiveness: the roels of relationship history and compassion / Christopher Caldiero -- An empirical test of image restoration strategies / Grant Cos, Tracy R. Worrell, and J.D. Blosenhauser -- "I'm sorry" is hard to say for Lance Armstrong: examining how this impacts public perception / Michel M. Haigh and Lauren Alwine -- Responding to criminal accusations: an experimental examination of Aqib Talib's 2011 aggravated assault case / Kenon A. Brown and Natalie A. Brown -- Measuring the enactment of IRT via social media: what are organizations and stakeholders saying during crisis? / Lisa V. Chewning -- Joker's remorse: an examination of failed humor and image repair / Ryan R. Montague -- Rejecting parenthood: the use and effectiveness of accounts in defending voluntary childlessness / Jeff Halford.
Summary: Putting Image Repair to the Test: Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and behavioral claims to advance currrent assertions made about image repair discourse, its effects, and the surrounding discourse. The contributors provide empirical data to answer research questions and to test various hypotheses in one substantive volume that builds on prior research in this field. From back cover.
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Holdings
Item type Current library Call number URL Status Date due Barcode Item holds
E-Book on Ebsco Host E-Book on Ebsco Host PAC UNIVERSITY Ebsco Database Ebook on Ebscohost (Browse shelf(Opens below)) more online Available
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Includes bibliographical references and index.

Introduction: image restoration theory: time for the quantitative turn / Joseph R. Blaney -- Effects of image repair strategies / William L. Benoit -- Examining the impact of message strategy on organizational image / Patric R. Spence, Kenneth A. Lachlan, and Leah M. Omilion-Hodges -- Exploring the alignment of image repair tactics to audience type / John Gribas, James DiSanza, Nancy Legge, Karen Hartman, and Casey Santee -- Crisis communication effectiveness: the roels of relationship history and compassion / Christopher Caldiero -- An empirical test of image restoration strategies / Grant Cos, Tracy R. Worrell, and J.D. Blosenhauser -- "I'm sorry" is hard to say for Lance Armstrong: examining how this impacts public perception / Michel M. Haigh and Lauren Alwine -- Responding to criminal accusations: an experimental examination of Aqib Talib's 2011 aggravated assault case / Kenon A. Brown and Natalie A. Brown -- Measuring the enactment of IRT via social media: what are organizations and stakeholders saying during crisis? / Lisa V. Chewning -- Joker's remorse: an examination of failed humor and image repair / Ryan R. Montague -- Rejecting parenthood: the use and effectiveness of accounts in defending voluntary childlessness / Jeff Halford.

Putting Image Repair to the Test: Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and behavioral claims to advance currrent assertions made about image repair discourse, its effects, and the surrounding discourse. The contributors provide empirical data to answer research questions and to test various hypotheses in one substantive volume that builds on prior research in this field. From back cover.


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