Construct Validity: A Review of Basic Issues and Marketing Practices
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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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).”
From Development and Validation of a Basic Psychological Needs Scale for Technology Use (2024) · cites this paper as Peter (1981)
Cites
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116 · see citing works
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549 · see citing works
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195 · see citing works
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068 · see citing works
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An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293 · see citing works
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043 · see citing works
Parasuraman, A. (2000) · Journal of Service Research · doi:10.1177/109467050024001 · Cited by 3,328 · see citing works
Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-015-0455-4 · Cited by 2,111 · see citing works
The use of lisrel in validating marketing constructs
Steenkamp, J.-B. E. M., & van Trijp, H. C. M. (1991) · International Journal of Research in Marketing · doi:10.1016/0167-8116(91)90027-5 · Cited by 1,848 · see citing works
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812 · see citing works
Lack of method variance in self-reported affect and perceptions at work: reality or artifact?
Williams, L. J., Cote, J. A., & Buckley, M. R. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.3.462 · Cited by 1,616 · see citing works
Reliability of Nominal Data Based on Qualitative Judgments
Perreault, W. D., & Leigh, L. E. (1989) · Journal of Marketing Research · doi:10.2307/3172601 · Cited by 1,575 · see citing works
An Updated and Streamlined Technology Readiness Index: TRI 2.0
Parasuraman, A., & Colby, C. L. (2015) · Journal of Service Research · doi:10.1177/1094670514539730 · Cited by 1,440 · see citing works
Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990) · Journal of Marketing · doi:10.1177/002224299005400305 · Cited by 1,054 · see citing works
How consumers assess the value of advertising
Ducoffe, R. H. (1995) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1995.10505022 · Cited by 774 · see citing works
A cross-national comparative study of new product development processes: Japan and the United States
Song, X. M., & Parry, M. E. (1997) · Journal of Marketing · doi:10.1177/002224299706100201 · Cited by 709 · see citing works
The impact of services versus goods on consumers’ assessment of perceived risk and variability
Murray, K. B., & Schlacter, J. L. (1990) · Journal of the Academy of Marketing Science · doi:10.1007/bf02729762 · Cited by 811 · see citing works
Disruptiveness of innovations: measurement and an assessment of reliability and validity
Govindarajan, V., & Kopalle, P. K. (2006) · Strategic Management Journal · doi:10.1002/smj.511 · Cited by 410 · see citing works
Ethical leadership: Meta-analytic evidence of criterion-related and incremental validity.
Ng, T. W. H., & Feldman, D. C. (2015) · Journal of Applied Psychology · doi:10.1037/a0038246 · Cited by 377 · see citing works
Planning and Conducting Experimental Advertising Research and Questionnaire Design
Geuens, M., & De Pelsmacker, P. (2017) · Journal of Advertising · doi:10.1080/00913367.2016.1225233 · Cited by 234 · see citing works
Who to trust? Applying trust to social commerce.
Sharma, S., Menard, P., & Mutchler, L. A. (2019) · Journal of Computer Information Systems · doi:10.1080/08874417.2017.1289356 · Cited by 156 · see citing works
Measurement Errors in the Behavioral Sciences: The Case of Personality/Attitude Research
Buckley, M. R., Cote, J. A., & Comstock, S. M. (1990) · Educational and Psychological Measurement · doi:10.1177/0013164490503001 · Cited by 147 · see citing works
A comment on the relationship between coefficient alpha and scale characteristics
Voss, K. E., Stem, D. E., & Fotopoulos, S. (2000) · Marketing Letters · doi:10.1023/a:1008146924781 · Cited by 96 · see citing works
Kılıç, İ., & Gürlek, M. (2024) · Journal of Sustainable Tourism · doi:10.1080/09669582.2023.2273755 · Cited by 71 · see citing works
Multitrait–multimethod matrices in consumer research: Critique and new developments
Bagozzi, R. P., & Yi, Y. (1993) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(08)80022-8 · Cited by 61 · see citing works
Development and Validation of a Basic Psychological Needs Scale for Technology Use
Moradbakhti, L., Leichtmann, B., & Mara, M. (2024) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000062 · Cited by 41 · see citing works
- 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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