Mohanasundari S.K., Sonia M.
Mohanasundari S.K.1, Sonia M.2
1PhD Scholar in INC, College of Nursing, AIIMS, Jodhpur, Rajasthan.
2Faculty, College of Nursing, AIIMS, Jodhpur, Rajasthan.
Volume - 12,
Issue - 3,
Year - 2022
Sample size calculation is more complex and crucial area of attention in a research process. Appropriate sample size of the study act as a strong foundation for evidence based practice, as small sample size may fail to detect the effect or large sample size may waste the resources. As a researcher we have to ensure that needed sample size is estimated to generate desirable power from the study, so that the findings could be generalized to the population. But it is difficult unless the researcher is aware about the influence of each component of the sample size estimates on sample size. This article briefly reviewed the relationship between the components of the sample size estimates and sample size.
Cite this article:
Mohanasundari S.K., Sonia M.. The Relationship between components of sample size Estimate and Sample Size. Asian Journal of Nursing Education and Research. 2022; 12(3):317-4. doi: 10.52711/2349-2996.2022.00066
Mohanasundari S.K., Sonia M.. The Relationship between components of sample size Estimate and Sample Size. Asian Journal of Nursing Education and Research. 2022; 12(3):317-4. doi: 10.52711/2349-2996.2022.00066 Available on: https://ajner.com/AbstractView.aspx?PID=2022-12-3-12
1. Sample size and power. Institute for Work & Health, Toronto. [internet] [Cited Apr 19/2022]. Available from: https://www.iwh.on.ca/what-researchers-mean-by/sample-size-and-power.
2. Kadam P, Bhalerao S. Sample size calculation. Int J Ayurveda Res. 2010 Jan;1(1):55-7. doi: 10.4103/0974-7788.59946.
3. Pourhoseingholi MA, Vahedi M, Rahimzadeh M. Sample size calculation in medical studies. Gastroenterol Hepatol Bed Bench. 2013 Winter;6(1):14-7.
4. Serdar CC, Cihan M, Yücel D, Serdar MA. Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies. Biochem Med (Zagreb). 2021 Feb 15;31(1):010502. doi: 10.11613/BM.2021.010502.
5. Guo, Y., Logan, H.L., Glueck, D.H. et al. Selecting a sample size for studies with repeated measures. BMC Med Res Methodol 13, 100 (2013). https://doi.org/10.1186/1471-2288-13-100.
6. Noordzij M, Tripep Gi, Dekker FW, Zoccali C, Tanck MW, and Jager KJ. Sample size calculations: basic principles and common pitfalls, Nephrology Dialysis Transplantation. 2010; 25 (5):1388–1393, https://doi.org/10.1093/ndt/gfp732
7. Dell RB, Holleran S, Ramakrishnan R. Sample size determination. ILAR J. 2002;43(4):207-13. doi: 10.1093/ilar.43.4.207.
8. Nwachukwu D. ‘5 incredible sample size calculators: software every researcher much have’’. 2015. [Internet] [Cited Apr 20/2022]. Available from: https://nairaproject.com/blog/5-incredible-softwares-that%20will-determine-sample-size-for-research-projects.html
9. nMaster 2.0 SAMPLE SIZE SOFTWARE [Internet] [Cited Apr 22/2022]. Available fromhttps://www.cmc-biostatistics.ac.in/nmaster/.
10. Kang H. Sample size determination and power analysis using the G*Power software. J Educ Eval Health Prof. 2021;18:17. doi: 10.3352/jeehp.2021.18.17.
11. Mohanasundari SK. Padmaja A, Kothari. S & Rathod KK ‘Effectiveness of Music therapy with conventional intervention on preoperative anxiety among children undergoing surgeries in selected hospitals, Rajasthan-A Pilot study. IJPEN. 2020: 6(2): 61 -69. DOI: http://dx.doi.org/10.21088/potj.0974.5777.6220.2.
12. Definition for confidence level. Statista. [Internet] [Cited Apr 20/2022]. Available from: https://www.statista.com/statistics-glossary/definition/328/confidence_level/
13. Polit FD and Beck CT. Estimation of parameter. 7th edition. Lippincott Williams and wilkins. P. 495
14. Margin of error. [Internet] [Cited Apr 22/2022] Available from: https://www.surveymonkey.com/mp/margin-of-error-calculator/
15. Levine M, Ensom MH. Post hoc power analysis: an idea whose time has passed? Pharmacotherapy. 2001;21:405–409. doi: 10.1592/phco.21.5.405.34503.
16. Hoenig JM, Heisey DM. The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat. 2001;55:19–24. doi: 10.1198/000313001300339897.
17. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd Ed. Mahwah NJ: Lawrence Erlbaum Associates; 1988.
18. Sullivan L. Power and Sample Size Determination. Boston Univeristy School of Public Health. [Internet] [Cuted Apr 30/2022]. Available from: https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_power/bs704_power_print.