The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Linking the Heuristic-Systematic Model and Depth of Processing
Abstract
This study draws a nexus between heuristic-systematic information processing and the theory of planned behavior through a model of risk information seeking and processing. The model proposes that the form of information processing individuals apply to risk information from the media and other sources affects beliefs, evaluations, and attitudes considered important to making judgments about performing risk-reducing behaviors. This study found that deeper, more systematic processing of risk information is positively related to evaluation strength, attitude strength, and the number of strongly held behavioral beliefs actively considered by respondents when thinking about environmental hazards. The relationships were consistent, appearing across two communities and three risks (two health risks and one ecological risk), and held up under multiple statistical controls.
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Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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Multiple regression: testing and interpreting interactions
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Statistical Theories of Mental Test Scores
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,022
Chakravarti, D., Eagly, A. H., & Chaiken, S. (1997) · Journal of Marketing Research · doi:10.2307/3151869 · Cited by 7,141
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Henry, N. W., Cohen, J., & Cohen, P. (1977) · Contemporary Sociology · doi:10.2307/2064799 · Cited by 7,089
(1988) · Cited by 6,825
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Reliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Tufte, E. R., Cohen, J., & Cohen, P. (1979) · Journal of the American Statistical Association · doi:10.2307/2286442 · Cited by 5,180
Cited by
PRISM: A Planned Risk Information Seeking Model
Kahlor, L. (2010) · Health Communication · doi:10.1080/10410231003775172 · Cited by 531
All Joking Aside: A Serious Investigation into the Persuasive Effect of Funny Social Issue Messages
Nabi, R. L., Moyer-Gusé, E., & Byrne, S. (2007) · Communication Monographs · doi:10.1080/03637750701196896 · Cited by 431
After the Flood: Anger, Attribution, and the Seeking of Information
Griffin, R. J., Yang, Z., ter Huurne, E., Boerner, F., Ortiz, S., & Dunwoody, S. (2008) · Science Communication · doi:10.1177/1075547007312309 · Cited by 361
Self-citationKim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020) · Science Communication · doi:10.1177/1075547020959670 · Cited by 313
The impact of social media on risk perceptions during the MERS outbreak in South Korea
Choi, D.-H., Yoo, W., Noh, G.-Y., & Park, K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.004 · Cited by 246
Metadata
- Authors
- Griffin, R. J., Neuwirth, K., Giese, J., & Dunwoody, S.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 2002-12
- Volume
- 29
- Issue
- 6
- Pages
- 705-732
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2143267281
- Cited by
- 264
- References
- 54
- FWCI
- 13.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
