Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 613

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion

Pham, Michel Tuan, Avnet, Tamar·2004·Journal of Consumer Research

Abstract

people’s hopes, wishes, and aspirations, and (b) oughts, which relate to people’s duties, obligations, and responsibilities. We propose that, in persuasion, the ac-cessibility of ideals increases consumers ’ reliance on their subjective affective responses to the ad relative to the substance of the message, whereas the ac-cessibility of oughts increases consumers ’ reliance on the substance of the mes-sage relative to their subjective affective responses. This phenomenon is accom-panied by a relative change in the perceived diagnosticity of the two types of information under accessible ideals versus oughts—a change that can be related to the distinct modes of self-regulation that ideals and oughts trigger. The phe-nomenon appears to be unrelated to the kind of change in depth-of-processing posited by the Elaboration Likelihood Model and the Heuristic-Systematic Model. Evaluative judgments can be based on two distinct typesof information or inputs: (a) information that pertains to the essence of the target to be evaluated (e.g., the strength of advertising claims, the compellingness of product attrib-utes, or the professional experience of a job candidate) and

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1086/380285

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Cited by

See all 613

Metadata

Authors
Pham, M. T., & Avnet, T.
Venue
Journal of Consumer Research
Published
2004-03
Volume
30
Issue
4
Pages
503-518
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W2116552781
Cited by
613
References
6
FWCI
54.45
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion. https://app.cochat.ai/papers/10.1086/380285
The paper
Pham, M. T., & Avnet, T. (2004). Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion. Journal of Consumer Research. https://doi.org/10.1086/380285

Data sources

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.