Putting Image Repair to the Test - Quantitative Applications of Image Restoration Theory

Putting Image Repair to the Test:Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and behavioral claims to advance current 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. Recommended for scholars in communication studies, public relations, and journalism.

Contributions by: Lauren Alwine, William L. Benoit, Joseph R. Blaney, Joseph D. Blosenhauer, Chris Caldiero, Lisa V. Chewning, Grant C. Cos, James DiSanza, John Gribas, Michel M. Haigh, Jeff Halford, Ken Lachlan, Nancy J. Legge, Ryan R. Montague, Leah M. Omilion-Hodges, J.C. Santee, Patric R. Spence, Tracy R. Worrell