206
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Incidental Affect and Message Processing: Revisiting the Competing Hypotheses

Pages 337-352 | Published online: 14 Apr 2013
 

Abstract

Using six television public service announcements (PSAs) and with a 3 (message topic) × 4 (frame combination) × 2 (messages) mixed design (N = 270), this study explores the impact of incidental affect on message processing in a broader horizon that incorporates operationalization of depth of message processing and how incidental affect is conceptualized and induced. Results showed that (a) there was no significant main effect of incidental affect on message processing in support of the cognitive capacity or affect as information explanations, and (b) there were significant simple main effects of incidental affect on message processing, but such an effect was consistent with the affect as resource explanation, rather than the hedonic contingency model. Implications and direction for future studies were discussed.

Notes

a Coded as 1 = gain frame, −1 = loss frame.

b Standard errors in parentheses.

***p < .001.

Note. Contrast Code 1 = −1 (gain, gain), 3 (gain, loss); −1 (loss, gain), and −1 (loss, loss). Contrast Code 2 = 3 (gain, gain), −1 (gain, loss), −1 (loss, gain), and −1 (loss, loss).

Additional information

Notes on contributors

Lijiang Shen

Lijiang Shen is an Associate Professor in the Department of Communication Studies at The University of Georgia.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 144.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.