Marketing research using single-item indicators in structural equation models
Journal of Marketing Analytics, ISSN: 2050-3318, Vol: 1, Issue: 2, Page: 99-117
2013
- 210Citations
- 16Usage
- 282Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations210
- Citation Indexes210
- 210
- CrossRef162
- Academic Citation Index (ACI) - airiti2
- Usage16
- Abstract Views16
- Captures282
- Readers282
- 282
Article Description
This article analyzes the use of single-item indicators in marketing research and their utilization in structural equation modeling (SEM). The study provides a literature review regarding the debate of the use of single-item measures in social sciences research and methodologically in SEM. The analysis of recent studies that use single-item indicators from topmarketing journals provides information regarding the types of constructs fit for single-item measurement and their use in SEM. The article presents clarifications to the debate regarding the use of single-item indicators in marketing research, gives examples of types of constructs measurable through single-item indicators and provides recommendations that add knowledge to the empirical analysis and methodology domains of marketing research.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84919666054&origin=inward; http://dx.doi.org/10.1057/jma.2013.7; http://link.springer.com/10.1057/jma.2013.7; https://nsuworks.nova.edu/hcbe_facarticles/652; https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1654&context=hcbe_facarticles; https://dx.doi.org/10.1057/jma.2013.7; https://link.springer.com/article/10.1057/jma.2013.7
Springer Science and Business Media LLC
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