Citation

Functional Forms of Symbolic Crises in the News: Implications for Quantitative Research

Abstract | Word Stems | Keywords | Association | Citation | Similar Titles



Abstract:

With communication scholars relying heavily on linear statistical models such as ordinary least squares regression, the present study examined the possibility that logistic, logarithmic and quadratic functions would capture symbolic crises in the news more effectively, potentially helping to enhance quantitative research. Analyzing cases involving drug abuse, pedophilia, violence, music lyrics, and religious freedom, the study found the strongest support for logarithmic and quadratic representations of cumulative data distributions, consistent with the notion of volatile news events triggering dramatic and widespread coverage for a limited time. The study concludes that while quantitative researchers should not abandon linear regression techniques, situations do arise in which nonlinear tests may be more effective in capturing statistical relationships.

Most Common Document Word Stems:

model (59), curv (57), news (57), studi (46), 1 (44), moral (38), logist (38), symbol (36), crise (34), research (32), panic (31), social (29), issu (29), logarithm (28), report (27), journal (26), new (26), quadrat (25), function (24), 001 (24), media (23),
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Association:
Name: Association for Education in Journalism and Mass Communication
URL:
http://www.aejmc.org


Citation:
URL: http://citation.allacademic.com/meta/p668704_index.html
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MLA Citation:

Denham, Bryan. "Functional Forms of Symbolic Crises in the News: Implications for Quantitative Research" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Renaissance Hotel, Washington DC, Aug 08, 2013 <Not Available>. 2018-08-29 <http://citation.allacademic.com/meta/p668704_index.html>

APA Citation:

Denham, B. , 2013-08-08 "Functional Forms of Symbolic Crises in the News: Implications for Quantitative Research" Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Renaissance Hotel, Washington DC Online <APPLICATION/PDF>. 2018-08-29 from http://citation.allacademic.com/meta/p668704_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: With communication scholars relying heavily on linear statistical models such as ordinary least squares regression, the present study examined the possibility that logistic, logarithmic and quadratic functions would capture symbolic crises in the news more effectively, potentially helping to enhance quantitative research. Analyzing cases involving drug abuse, pedophilia, violence, music lyrics, and religious freedom, the study found the strongest support for logarithmic and quadratic representations of cumulative data distributions, consistent with the notion of volatile news events triggering dramatic and widespread coverage for a limited time. The study concludes that while quantitative researchers should not abandon linear regression techniques, situations do arise in which nonlinear tests may be more effective in capturing statistical relationships.


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