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Marketing research using single-item indicators in structural equation models
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“However, single-item measures can be a valid, psychometrically sound alternative to multi-item measures (Fuchs & Diamantopoulos, 2009;Petrescu, 2013).”
From Sources and effects of foreign language enjoyment, anxiety, and boredom: A structural equation modeling approach (2023) · cites this paper as Petrescu, 2013
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Metadata
- Authors
- Petrescu, M.
- Affiliations
- Nova Southeastern University (US)
- Corresponding author
- Petrescu, Maria
- ORCID
- Petrescu, Maria
- Venue
- Journal of Marketing Analytics
- Published
- 2013-05
- Volume
- 1
- Issue
- 2
- Pages
- 99-117
- ISSN
- 2050-3318 (ISSN-L)
- 2050-3326
- OpenAlex
- W2015980393
- Cited by
- 279
- References
- 116
- Citations by year
- 2026: 22 · 2025: 17 · 2024: 36 · 2023: 30 · 2022: 29 · 2021: 42 · 2020: 23 · 2019: 18 · 2018: 21 · 2017: 17 · 2016: 11 · 2015: 9 · 2014: 4
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Marketing Analytics (publishedVersion)
- NSUWorks (Nova Southeastern University) (submittedVersion)
- 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 › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- single-item measures, structural equation modeling, construct measurement, marketing research methodology, measurement validity
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