The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Sample Size for Survey Research: Review and Recommendations
Open accessAbstract
Determining an appropriate sample size is vital in drawing realistic conclusions from research findings. Although there are several widely adopted rules of thumb to calculate sample size, researchers remain unclear about which one to consider when determining sample size in their respective studies. ‘How large should the sample be?’ is one the most frequently asked questions in survey research. The objective of this editorial is three-fold. First, we discuss the factors that influence sample size decisions. Second, we review existing rules of thumb related to the calculation of sample size. Third, we present the guidelines to perform power analysis using the G*Power programme. There is, however, a caveat: we urge researchers not to blindly follow these rules. Such rules or guidelines should be understood in their specific contexts and under the conditions in which they were prescribed. We hope that this editorial does not only provide researchers a fundamental understanding of sample size and its associated issues, but also facilitates their consideration of sample size determination in their own studies.
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Cited by
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11816-3 · Cited by 637
“This is a power analysis that takes into account the model structure, the expected effect sizes, and the anticipated level of significance (Memon et al., 2020).”
BackgroundMultigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research
School of Business and Economics, U. P. M., Cheah, J.-H., Thurasamy, R., School of Management, U. S. M., Memon, M. A., NUST Business School, N. U. O. S. A. T., Chuah, F., Othman Yeop Abdullah Graduate School of Business, U. U. M., Ting, H., & Faculty of Hospitality and Tourism Management, U. U. (2020) · Asian Journal of Business Research · doi:10.14707/ajbr.200087 · Cited by 396
Self-citationKilay, A. L., Simamora, B. H., & Putra, D. P. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8030119 · Cited by 139
Bećirović, S., Polz, E., & Tinkel, I. (2025) · Smart Learning Environments · doi:10.1186/s40561-025-00384-3 · Cited by 133
Balaskas, S., Tsiantos, V., Chatzifotiou, S., & Rigou, M. (2025) · Information · doi:10.3390/info16020082 · Cited by 81
Metadata
- Authors
- Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H.
- Venue
- Journal of Applied Structural Equation Modeling
- Publisher
- Sarawak Research Society
- Published
- 2020-06-25
- Volume
- 4
- Issue
- 2
- Pages
- i-xx
- ISSN
- 2590-4221 (ISSN-L)
- OpenAlex
- W3047225376
- Cited by
- 1,343
- References
- 14
- Type
- journal article
- Language
- en
- Open access
- diamond
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