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

Construct Validity: A Review of Basic Issues and Marketing Practices

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

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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Crossref · 10.2307/3150948

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  • Correlations between constructs from the same sample are highly likely if the sample is large and reliability is given (at least to some degree).

    “According to Meehl (1967) and Peter (1981), correlations between constructs from the same sample are highly likely, if the sample is large and reliability is given (at least to some degree).”

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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)
OpenAlex
W2004135211
Cited by
1,189
References
4
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 › Decision Sciences › Management Science and Operations Research › 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.

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