Cognitive processes underlying context effects in attitude measurement.
Abstract
We begin this article with the assumption that attitudes are best understood as structures in long-term memory, and we look at the implications of this view for the response process in attitude surveys. More specifically, we assert that an answer to an attitude question is the product of a four-stage process. Respondents first interpret the attitude question, determining what attitude the ques-tion is about. They then retrieve relevant beliefs and feelings. Next, they apply these beliefs and feelings in rendering the appropriate judgment. Finally, they use this judgment to select a response. All four of the component processes can be affected by prior items. The prior items can provide a framework for interpreting later questions and can also make some responses appear to be redundant with earlier answers. The prior items can prime some beliefs, making them more accessible to the retrieval process. The prior items can suggest a norm or standard of comparison for making the judgment. Finally, the prior items can create consistency pressures or pressures to appear moderate. Because of the multiple processes involved, context effects are difficult to predict and sometimes difficult to replicate. We attempt to sort out when context is likely to affect later responses and include a list of the variables that affect the size and direction of the effects of context. Within social psychology, there is an emerging consensus that attitudes are best understood as structures that reside in long-term memory (Fazio, Sanbonmatsu, Powell, & Kardes, 1986;
Cites (8)
- Logic and ConversationGrice, H. P. · 1975 · Speech Acts
- Availability: A heuristic for judging frequency and probabilityTversky, Amos, Kahneman, Daniel · 1973 · Cognitive Psychology
- A spreading-activation theory of semantic processing.Collins, Allan M., Loftus, Elizabeth F. · 1975 · Psychological Review
- Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states.Schwarz, Norbert, Clore, Gerald L. · 1983 · Journal of Personality and Social Psychology
- Mood and memoryBower, Gordon H. · 1981 · American Psychologist
- The effects of involvement on responses to argument quantity and quality: Central and peripheral routes to persuasion.Petty, Richard E., Cacioppo, John T. · 1984 · Journal of Personality and Social Psychology
- Retrieval selectivity in memory-based impression judgments.Lingle, John H., Ostrom, Thomas M. · 1979 · Journal of Personality and Social Psychology
- Attitudinal politics: The strategy of moderation.Cialdini, Robert B., Levy, Alan, Herman, C. Peter, Evenbeck, Scott · 1973 · Journal of Personality and Social Psychology
Cited by (35)
- Self-reports: How the questions shape the answers.Schwarz, Norbert · 1999 · American Psychologist
- Assessing Subjective Well-Being: Progress and OpportunitiesDiener, Ed · 1994 · Social Indicators Research
- A model of dual attitudes.Wilson, Timothy D., Lindsey, Samuel, Schooler, Tonya Y. · 2000 · Psychological Review
- Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates.Cacioppo, John T., Berntson, Gary G. · 1994 · Psychological Bulletin
- SURVEY RESEARCHKrosnick, Jon A. · 1999 · Annual Review of Psychology
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cognitive processes underlying context effects in attitude measurement. https://app.cochat.ai/papers/10.1037//0033-2909.103.3.299
- The paper
- Tourangeau, R., & Rasinski, K. A. (1988). Cognitive processes underlying context effects in attitude measurement. Psychological Bulletin. https://doi.org/10.1037//0033-2909.103.3.299
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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.