Cited by 1,189Psychometric Methodologies and TestingBusiness Strategies and Management ResearchCognitive and psychological constructs research

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Construct Validity: A Review of Basic Issues and Marketing Practices

Peter, J. Paul·1981·Journal of Marketing Research

DOI 10.2307/3150948

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Abstract

An attempt is made to explicate the meaning of construct validity. Operational issues in the process of construct validation are investigated. A subset of JMR studies involving construct validation are reviewed and the role of construct validity in marketing is considered.

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Authors: Peter, J. P.
Affiliations: The Ohio State University (US)
Corresponding author: Peter, J. Paul
Venue: Journal of Marketing Research
Publisher: JSTOR
Published: 1981-05
Volume: 18
Issue: 2
Pages: 133
ISSN: 0022-2437 (ISSN-L)
DOI: 10.2307/3150948
OpenAlex: W2004135211
Cited by: 1,189
References: 72
Citations by year: 2026: 20 · 2025: 20 · 2024: 28 · 2023: 31 · 2022: 30 · 2021: 33 · 2020: 45 · 2019: 38 · 2018: 39 · 2017: 48 · 2016: 35 · 2015: 45 · 2014: 66 · 2013: 57 · 2012: 55
FWCI: 13.44
Type: journal article
Language: en
Open access: closed
Locations: Journal of Marketing Research (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
Social Sciences › Psychology › Social Psychology › Cognitive and psychological constructs research
Keywords: construct validity, construct validation, market analysis, measurement validity, operational challenges

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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 ›

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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.

Construct Validity: A Review of Basic Issues and Marketing Practices

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

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Cited by

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Metadata

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About these checks

Data sources