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A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
Abstract
Journal Article A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research Get access Cheryl Burke Jarvis, Cheryl Burke Jarvis Search for other works by this author on: Oxford Academic PubMed Google Scholar Scott B. MacKenzie, Scott B. MacKenzie Search for other works by this author on: Oxford Academic PubMed Google Scholar Philip M. Podsakoff Philip M. Podsakoff Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Consumer Research, Volume 30, Issue 2, September 2003, Pages 199–218, https://doi.org/10.1086/376806 Published: 01 September 2003
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
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
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
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618
A benefit congruency framework of sales promotion effectiveness
Chandon, P., Wansink, B., & Laurent, G. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.4.65.18071 · Cited by 1,518
Construct Validity: A Review of Basic Issues and Marketing Practices
Peter, J. P. (1981) · Journal of Marketing Research · doi:10.2307/3150948 · Cited by 1,189
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment
Bagozzi, R. P. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800312 · Cited by 778
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Jussupow, E., Spohrer, K., & Heinzl, A. (2022) · JMIR Formative Research · doi:10.2196/28750 · Cited by 138
Marin-Garcia, J. A., & Bonavia, T. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.975852 · Cited by 133
Duty orientation: Theoretical development and preliminary construct testing
Hannah, S. T., Jennings, P. L., Bluhm, D., Peng, A. C., & Schaubroeck, J. M. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2013.10.007 · Cited by 117
Krutulyte, R., Grunert, K. G., Scholderer, J., Lähteenmäki, L., Hagemann, K. S., Elgaard, P., Nielsen, B., & Graverholt, J. P. (2011) · Food Quality and Preference · doi:10.1016/j.foodqual.2010.06.001 · Cited by 119
Gatignon, H. (2010) · Statistical Analysis of Management Data · doi:10.1007/978-1-4419-1270-1_4 · Cited by 93
Berki-Kiss, D., & Menrad, K. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.09.026 · Cited by 90
The Usability Construct: A Dead End?
Tractinsky, N. (2018) · Human–Computer Interaction · doi:10.1080/07370024.2017.1298038 · Cited by 87
Jeffers, P. I. (2010) · International Journal of Operations & Production Management · doi:10.1108/01443571011024629 · Cited by 85
Patient empowerment: A cross-disease exploration of antecedents and consequences
Prigge, J.-K., Dietz, B., Homburg, C., Hoyer, W. D., & Burton, J. L. (2015) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2015.05.009 · Cited by 80
Modelling customer loyalty in financial services: A hybrid of formative and reflective constructs
Baumann, C., Elliott, G., & Hamin, H. (2011) · International Journal of Bank Marketing · doi:10.1108/02652321111117511 · Cited by 79
Lin, T.-C., Chang, C. L.-H., & Tsai, W.-C. (2016) · Management Decision · doi:10.1108/md-02-2016-0117 · Cited by 78
Cheng, X., Qiao, L., Yang, B., & Li, Z. (2024) · Internet Research · doi:10.1108/intr-06-2022-0402 · Cited by 76
The travel influencer construct: An empirical exploration and validation
Manthiou, A., Ulrich, I., & Kuppelwieser, V. (2024) · Tourism Management · doi:10.1016/j.tourman.2023.104858 · Cited by 74
Limaj, E., Bernroider, E. W. N., & Choudrie, J. (2016) · Information & Management · doi:10.1016/j.im.2015.12.003 · Cited by 72
Paetsch, J., Franz, S., & Wolter, I. (2023) · Teaching and Teacher Education · doi:10.1016/j.tate.2023.104318 · Cited by 59
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.04.017 · Cited by 51
(2013) · Nihon Keiei Gakkaishi · doi:10.12691/jbms-1-5-2 · Cited by 50
Growing with smart products: Why customization capabilities matter for manufacturing firms
Schulz, C., Kortmann, S., Piller, F. T., & Pollok, P. (2023) · Journal of Product Innovation Management · doi:10.1111/jpim.12680 · Cited by 49
Afzal, F., & Crawford, L. (2022) · Project Leadership and Society · doi:10.1016/j.plas.2022.100057 · Cited by 46
Study Habits and Procrastination: The Role of Academic Self-Efficacy
Svartdal, F., Sæle, R. G., Dahl, T. I., Nemtcan, E., & Gamst-Klaussen, T. (2022) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2021.1959393 · Cited by 44
Yang, Y. (2018) · Journal of Service Theory and Practice · doi:10.1108/jstp-06-2017-0102 · Cited by 38
Influence of social software features on the reuse of Business Intelligence reports
Alpar, P., Engler, T. H., & Schulz, M. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.01.004 · Cited by 36
(2016) · Journal of electronic commerce research · Cited by 35
Specifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
G., R., & Asokan-Ajitha, A. (2021) · Journal of Indian Business Research · doi:10.1108/jibr-04-2018-0132 · Cited by 30
An Investigation of Factors Impacting the Wellness of Academic Library Employees
Lo, L., & Herman, B. (2017) · College & Research Libraries · doi:10.5860/crl.78.6.789 · Cited by 22
Ebrahimi, A., Poursharifi, H., Dolatshahi, B., Rezaee, O., Hassanabadi, H. R., & Naeem, F. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.707291 · Cited by 21
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Bin-Nashwan, S. A., Bouteraa, M., Benlahcene, A., & Sadallah, M. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.101016 · Cited by 21
Crossing the seven Cs of internal consistency: Assessing the reliability of formative instruments
Gruijters, S. L. K., Fleuren, B. P. I., & Peters, G. J. (2021) · doi:10.31234/osf.io/qar39 · Cited by 17
Edelsbrunner, P. A., Simonsmeier, B. A., & Schneider, M. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10023-5 · Cited by 17
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Tinali, G. Z. P. (2022) · University of Dar es Salaam Library Journal · doi:10.4314/udslj.v17i1.3 · Cited by 8
Understanding the Role of Brand Salience in Brand Choice Decisions in the Charity Sector
Ngo, L. V., Gregory, G., Miller, R., & Lu, L. (2022) · Australasian Marketing Journal · doi:10.1177/1839334921999477 · Cited by 7
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Metadata
- Authors
- Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-09
- Volume
- 30
- Issue
- 2
- Pages
- 199-218
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2146410840
- Cited by
- 5,807
- References
- 13
- FWCI
- 71.90
- Type
- journal article
- Language
- en
- Open access
- closed
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