Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 729

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Measuring the Intrusiveness of Advertisements: Scale Development and Validation

Li, Hairong, Edwards, Steven M., Lee, Joo-Hyun·2002·Journal of Advertising

Abstract

The current study examines consumers'perceptions of the intrusiveness of advertisements. A scale is developed to tap an underlying construct that has not previously been measured. Following traditional methods of scale development, the study uses expert-generated adjective lists, expands possible measures using a thesaurus, and finally reduces the number of items statistically to derive a new measure of advertising intrusiveness. The scale is validated using samples in different experimental conditions and is found to be valid, reliable, and parsimonious. The importance of such a scale for the field of advertising is discussed.

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 · 10.1080/00913367.2002.10673665

Cites

35 of 35 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 35 references

Cited by

See all 729

Metadata

Authors
Li, H., Edwards, S. M., & Lee, J.-H.
Venue
Journal of Advertising
Published
2002-06
Volume
31
Issue
2
Pages
37-47
ISSN
  • 0091-3367 (ISSN-L)
  • 1557-7805
OpenAlex
W1981462816
Cited by
729
References
35
FWCI
23.65
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: Measuring the Intrusiveness of Advertisements: Scale Development and Validation. https://app.cochat.ai/papers/10.1080/00913367.2002.10673665
The paper
Li, H., Edwards, S. M., & Lee, J.-H. (2002). Measuring the Intrusiveness of Advertisements: Scale Development and Validation. Journal of Advertising. https://doi.org/10.1080/00913367.2002.10673665

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.