Simple randomization may lead to unequal group sizes. Is that a problem?
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Randomization is less effective at balancing groups with small sample sizes.
“We also note that randomization is less effective at balancing groups with small sample sizes [46], and thus the randomization reported here is focused on piloting of procedures.”
From A Randomized Feasibility/Acceptability Trial of Acceptance and Commitment Therapy for People with HIV Who Drink at Unhealthy Levels. (2026) · cites this paper as [46]
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“Though simple randomization is easy to implement and reliably generates similar numbers of participants across larger groups, it can lead to unequal numbers in smaller groups [78].”
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“In other words, simple randomization techniques may lead to unequal group sizes, especially with a small sample size, even if the procedure is carried out correctly (Shibasaki & Martins, 2018).”
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A randomized controlled trial investigating digital resilience training for healthcare professionals
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“Finally, an imbalance in the number of participants between groups at baseline can reduce the power of statistical tests, making it harder to identify a true effect of the intervention 69 .”
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“We also note that randomization is less effective at balancing groups with small sample sizes [46], and thus the randomization reported here is focused on piloting of procedures.”
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“In general, the baseline characteristics of patients showed no significant difference between groups [27].”
Pinto, S. T. P., Oliveira, C. R. D. M., Tanomaru‐Filho, M., & Reis, J. M. D. S. N. (2026) · PLoS ONE · doi:10.1371/journal.pone.0339002 · Cited by 1 · see citing works
“Then, the roots were stored in artificial saliva for 7 days [4,24,25].”
Wang, L., Yang, M., Khan, S., Chaudhary, M., Yang, S., Wu, F., & Zhang, L. (2026) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1002/arj.70079 · Cited by 1 · see citing works
Liu, M., Yeh, H., Kuan, A. S., Tsai, S., Liou, Y., Walsh, V., & Lau, C. I. (2020) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988720915524
“Having imbalanced groups reduces the power to detect an effect of the intervention if one exists.(55) Subsequent study should include a larger sample size or use block randomization method to increase the statistical power and to reduce the chances of having imbalanced groups, respectively.”
MethodLin, L., Chi, H., Chiu, N., Huang, C.-Y., Wang, J., & Huang, D. T. (2023) · Journal of Microbiology Immunology and Infection · doi:10.1016/j.jmii.2023.09.001
Tseng, C.-C., Lau, C. I., Chou, Y.-H., Yang, K., Cheng, C., Hu, L., Li, C., Tsai, C.-F., & Liu, M. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115963
Enhancing postural health in music students: results of 6-week postural intervention program
Marko, M., & Adamčák, Š. (2026) · Physiotherapy Quarterly · doi:10.5114/pq/213796
“Randomisation was not employed due to the small sample size ( n = 16) [25] and scheduling constraints; however, the participants were carefully matched based on age and year of study to ensure pre-intervention equivalence between groups.”
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- Authors
- Shibasaki, W. M., & Martins, R. P.
- Affiliations
- Universidade Estadual Paulista (Unesp) (BR)
- Venue
- American Journal of Orthodontics and Dentofacial Orthopedics
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 154
- Issue
- 4
- Pages
- 600-605
- ISSN
- 0889-5406 (ISSN-L)
- OpenAlex
- W2893331902
- Cited by
- 25
- References
- 16
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 1
- Type
- journal article
- Language
- en
- Open access
- green
- americanae.aecid.es
- Licence
- Locations
- American Journal of Orthodontics and Dentofacial Orthopedics (publishedVersion)
- PubMed (publishedVersion)
- Americanae (AECID Library) (submittedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Dentistry › Orthodontics › Orthodontics and Dentofacial Orthopedics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- randomization, unequal group sizes, confounding factors, orthodontic research, experimental design
- MeSH terms
- Humans, Orthodontics, Random Allocation, Research Design, Models, Statistical, Sample Size
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