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Journal articles on the topic 'Sample size'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

Muralidharan, K. "On Sample Size Determination." MATHEMATICAL JOURNAL OF INTERDISCIPLINARY SCIENCES 3, no. 1 (2014): 55–64. http://dx.doi.org/10.15415/mjis.2014.31005.

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2

G, Ajithakumari. "Sample Size Determination and Sampling Technique." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 1432–40. http://dx.doi.org/10.21275/es24924103353.

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3

Byrne, Enda M., Anjali K. Henders, Ian B. Hickie, Christel M. Middeldorp, and Naomi R. Wray. "Nick Martin and the Genetics of Depression: Sample Size, Sample Size, Sample Size." Twin Research and Human Genetics 23, no. 2 (2020): 109–11. http://dx.doi.org/10.1017/thg.2020.13.

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AbstractNick Martin is a pioneer in recognizing the need for large sample size to study the complex, heterogeneous and polygenic disorders of common mental disorders. In the predigital era, questionnaires were mailed to thousands of twin pairs around Australia. Always quick to adopt new technology, Nick’s studies progressed to phone interviews and then online. Moreover, Nick was early to recognize the value of collecting DNA samples. As genotyping technologies improved over the years, these twin and family cohorts were used for linkage, candidate gene and genome-wide association studies. These cohorts have underpinned many analyses to disentangle the complex web of genetic and lifestyle factors associated with mental health. With characteristic foresight, Nick is chief investigator of our Australian Genetics of Depression Study, which has recruited 16,000 people with self-reported depression (plus DNA samples) over a time frame of a few months — analyses are currently ongoing. The mantra of sample size, sample size, sample size has guided Nick’s research over the last 30 years and continues to do so.

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4

Parker, Robert A., and Nancy G. Berman. "Sample Size." American Statistician 57, no. 3 (2003): 166–70. http://dx.doi.org/10.1198/0003130031919.

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5

Hill-Smith, I. "Sample size." BMJ 308, no. 6939 (1994): 1304. http://dx.doi.org/10.1136/bmj.308.6939.1304.

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6

Carlin, JB, and LW Doyle. "Sample size." Journal of Paediatrics and Child Health 38, no. 3 (2002): 300–304. http://dx.doi.org/10.1046/j.1440-1754.2002.00855.x.

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7

Brown, George W. "Sample Size." Archives of Pediatrics & Adolescent Medicine 142, no. 11 (1988): 1213. http://dx.doi.org/10.1001/archpedi.1988.02150110091026.

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8

Elston, Dirk M. "Sample size." Journal of the American Academy of Dermatology 79, no. 4 (2018): 635. http://dx.doi.org/10.1016/j.jaad.2017.11.006.

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9

Cuoco, Daniel J. "Sample Size." JEMS: Journal of Emergency Medical Services 33, no. 6 (2008): 20. https://doi.org/10.1016/s0197-2510(08)70212-2.

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10

KILIC, Selim. "Sample size, power concepts and sample size calculation." Journal of Mood Disorders 2, no. 3 (2012): 140. http://dx.doi.org/10.5455/jmood.20120921043306.

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11

RUSU MOCĂNAȘU, Daniela. "DETERMINING THE SAMPLE SIZE IN QUALITATIVE RESEARCH." International Multidisciplinary Scientific Conference on the Dialogue between Sciences & Arts, Religion & Education 4, no. 1 (2020): 181–87. http://dx.doi.org/10.26520/mcdsare.2020.4.181-187.

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According to most researchers carrying out qualitative researches, adequacy of sample size is a key marker for the research’s quality. However, there is no consensus with respect to the exact size of a proper sample. For some authors, the count of investigated units is irrelevant when they assess the sample size’s adequacy, as they emphasize the abundance of data submitted by the units included in the sample. Other researchers deem the sample size all-important in order to reach reliable outputs and to ensure the reliability of qualitative researches. No clear methods and rules are given for qualitative investigation in order to guide researches in establishing the sample’s proper size. Size determination is a matter of consideration, as the researchers follow various guidelines in order to assess whether their own research sample is proper or not. This paper aims to identify the main external guidelines for a qualitative research project allowing researchers to determine the proper sample size in qualitative research..

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12

Qurashi, Mohammedelameen Eissa, and Mubarak H. Elhafian. "The Impact of Sample Size on the Probability Samples to Estimate the Total population Number." Indian Journal Of Science And Technology 16, no. 39 (2023): 3316–24. http://dx.doi.org/10.17485/ijst/v16i39.303.

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13

Kitikidou, K., and G. Chatzilazarou. "Estimating the sample size for fitting taper equations." Journal of Forest Science 54, No. 4 (2008): 176–82. http://dx.doi.org/10.17221/789-jfs.

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Much work has been done fitting taper equations to describe tree bole shapes, but few researchers have investigated how large the sample size should be. In this paper, a method that requires two variables that are linearly correlated was applied to determine the sample size for fitting taper equations. Two cases of sample size estimation were tested, based on the method mentioned above. In the first case, the sample size required is referred to the total number of diameters estimated in the sampled trees. In the second case, the sample size required is referred to the number of sampled trees. The analysis showed that both methods are efficient from a validity standpoint but the first method has the advantage of decreased cost, since it costs much more to incrementally sample another tree than it does to make another diameter measurement on an already sampled tree.

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14

Bhalerao, Supriya, and Prashant Kadam. "Sample size calculation." International Journal of Ayurveda Research 1, no. 1 (2010): 55. http://dx.doi.org/10.4103/0974-7788.59946.

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15

Skaik, Younis AbedAL-Wahhab M. "Sample size calculation." International Journal of Ayurveda Research 1, no. 2 (2010): 132. http://dx.doi.org/10.4103/0974-7788.64395.

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16

Chander, NGopi. "Sample size estimation." Journal of Indian Prosthodontic Society 17, no. 3 (2017): 217. http://dx.doi.org/10.4103/jips.jips_169_17.

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17

Likhvantsev, V. V., M. Ya Yadgarov, L. B. Berikashvili, K. K. Kadantseva, and A. N. Kuzovlev. "Sample size estimation." Anesteziologiya i reanimatologiya, no. 6 (2020): 77. http://dx.doi.org/10.17116/anaesthesiology202006177.

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18

Kumar, Rajeev. "Sample size calculation." Indian Journal of Ophthalmology 60, no. 6 (2012): 582. http://dx.doi.org/10.4103/0301-4738.103809.

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19

Weller, Susan C. "Sample Size Estimation." Field Methods 27, no. 4 (2014): 333–47. http://dx.doi.org/10.1177/1525822x14530086.

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20

Chun, Byoung Ryul. "Sample Size Determination." Journal of Korean Society for Clinical Pharmacology and Therapeutics 2, no. 2 (1994): 209. http://dx.doi.org/10.12793/jkscpt.1994.2.2.209.

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21

Morse, Janice M. "Determining Sample Size." Qualitative Health Research 10, no. 1 (2000): 3–5. http://dx.doi.org/10.1177/104973200129118183.

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22

Clark, Virginia. "Sample Size Determination." Plastic and Reconstructive Surgery 87, no. 3 (1991): 569–73. http://dx.doi.org/10.1097/00006534-199103000-00030.

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23

Fess, Elaine Ewing. "Determining Sample Size." Journal of Hand Therapy 8, no. 4 (1995): 264. http://dx.doi.org/10.1016/s0894-1130(12)80119-0.

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24

Brewer, James K., and Paul T. Sindelar. "ADEQUATE SAMPLE SIZE." Journal of Special Education 21, no. 4 (1988): 74–84. http://dx.doi.org/10.1177/002246698802100409.

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25

Noordzij, Marlies, Friedo W. Dekker, Carmine Zoccali, and Kitty J. Jager. "Sample Size Calculations." Nephron Clinical Practice 118, no. 4 (2011): c319—c323. http://dx.doi.org/10.1159/000322830.

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26

Seaman, John W. "Sample Size Methodology." Technometrics 35, no. 1 (1993): 95–96. http://dx.doi.org/10.1080/00401706.1993.10485011.

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27

Lander, Anthony, and Waaka Moni-Nwinia. "Sample size analysis." Journal of Pediatric Surgery 55, no. 10 (2020): 2247. http://dx.doi.org/10.1016/j.jpedsurg.2020.05.047.

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28

Rodríguez del Águila, MM, and AR González-Ramírez. "Sample size calculation." Allergologia et Immunopathologia 42, no. 5 (2014): 485–92. http://dx.doi.org/10.1016/j.aller.2013.03.008.

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29

Bristol, David R. "Sample size methodology." Controlled Clinical Trials 13, no. 6 (1992): 519–20. http://dx.doi.org/10.1016/0197-2456(92)90211-h.

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30

Kumar, A. "The Sample Size." Journal of Universal College of Medical Sciences 2, no. 1 (2014): 45–47. http://dx.doi.org/10.3126/jucms.v2i1.10493.

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Finding an "appropriate sample size" has been the most basic and foremost problem; a research worker is always faced with, in all sampling based analytical researches. This is so, since a very large sized sample results to unnecessary wastage of resources, while a very small sized sample may affect adversely the accuracy of sample estimates and thus in turn losing the very efficacy of selected sampling plan. The present paper attempts to highlight the main determinant factors and the analytical approach towards estimation ofrequired sample size, along with a few illustrations. DOI: http://dx.doi.org/10.3126/jucms.v2i1.10493 Journal of Universal College of Medical Sciences (2014) Vol.2(1): 45-47

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31

Freeman, G. H., R. E. Odeh, and M. Fox. "Sample Size Choice." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 1 (1993): 135. http://dx.doi.org/10.2307/2982880.

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32

Turner, Louise A., Martin R. Lindley, Timothy A. Vanhaitsma, David Koceja, Timothy D. Mickleborough, and Joel M. Stager. "Sample Size Estimates." Medicine & Science in Sports & Exercise 38, Supplement (2006): S529. http://dx.doi.org/10.1249/00005768-200605001-03083.

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33

Dell, R. B., S. Holleran, and R. Ramakrishnan. "Sample Size Determination." ILAR Journal 43, no. 4 (2002): 207–13. http://dx.doi.org/10.1093/ilar.43.4.207.

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34

Yang, Shengping, and Gilbert Berdine. ""Small" sample size." Southwest Respiratory and Critical Care Chronicles 11, no. 49 (2023): 52–55. http://dx.doi.org/10.12746/swrccc.v11i49.1251.

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35

Valsan, ArunK, S. Saraswathy, KN Anila, and S. Sudhindran. "Sample size calculation." Amrita Journal of Medicine 19, no. 4 (2023): 215. http://dx.doi.org/10.4103/amjm.amjm_81_23.

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36

Wang, Yu, Zheng Guan, and Tengyuan Zhao. "Sample size determination in geotechnical site investigation considering spatial variation and correlation." Canadian Geotechnical Journal 56, no. 7 (2019): 992–1002. http://dx.doi.org/10.1139/cgj-2018-0474.

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Site investigation is a fundamental element in geotechnical engineering practice, but only a small portion of geomaterials is sampled and tested during site investigation. This leads to a question of sample size determination: how many samples are needed to achieve a target level of accuracy for the results inferred from the samples? Sample size determination is a well-known topic in statistics and has many applications in a wide variety of areas. However, conventional statistical methods, which mainly deal with independent data, only have limited applications in geotechnical site investigation because geotechnical data are not independent, but spatially varying and correlated. Existing design codes around the world (e.g., Eurocode 7) only provide conceptual principles on sample size determination. No scientific or quantitative method is available for sample size determination in site investigation considering spatial variation and correlation of geotechnical properties. This study performs an extensive parametric study and develops a statistical chart for sample size determination with consideration of spatial variation and correlation using Bayesian compressive sensing or sampling. Real cone penetration test data and real laboratory test data are used to illustrate application of the proposed statistical chart, and the method is shown to perform well.

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37

Lunsford, Thomas R., and Brenda Rae Lunsford. "The Research Sample, Part II: Sample Size." JPO Journal of Prosthetics and Orthotics 7, no. 4 (1995): 137–41. http://dx.doi.org/10.1097/00008526-199507040-00006.

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38

McCormick, Joshua L., and Kevin A. Meyer. "Sample Size Estimation for On-Site Creel Surveys." North American Journal of Fisheries Management 37, no. 5 (2017): 970–80. http://dx.doi.org/10.1080/02755947.2017.1342723.

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39

Hollands, Hussein, Anya C. Brox, and Peter J. Kertes. "REVIEW: SAMPLE SIZE CALCULATION." Evidence-Based Ophthalmology 9, no. 3 (2008): 153–57. http://dx.doi.org/10.1097/ieb.0b013e31817d8d21.

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40

Student. "SMALL SAMPLE SIZE SCIENTIST." Pediatrics 83, no. 3 (1989): A72. http://dx.doi.org/10.1542/peds.83.3.a72a.

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The believer in the law of small numbers practices science as follows: 1. He gambles his research hypotheses on small samples without realizing that the odds against him are unreasonably high. He overestimates power. 2. He has undue confidence in early trends (e.g., the data of the first few subjects) and in the stability of observed patterns (e.g., the number and identity of significant results). He overestimates significance. 3. In evaluating replications, his or others', he has unreasonably high expectations about the replicability of significant results. He underestimates the breadth of confidence intervals. 4. He rarely attributes a deviation of results from expectations to sampling variability, because he finds a causal "explanation" for any discrepancy. Thus, he has little opportunity to recognize sampling variation in action. His belief in the law of small numbers, therefore, will forever remain intact.

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41

Gill, J. L. "Sample size for regression1." Journal of Animal Breeding and Genetics 108, no. 1-6 (1991): 192–96. http://dx.doi.org/10.1111/j.1439-0388.1991.tb00175.x.

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42

Krzywinski, Martin, and Naomi Altman. "Power and sample size." Nature Methods 10, no. 12 (2013): 1139–40. http://dx.doi.org/10.1038/nmeth.2738.

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43

Sapnas, Kathryn G. "Determining Adequate Sample Size." Journal of Nursing Scholarship 36, no. 1 (2004): 4. http://dx.doi.org/10.1111/j.1547-5069.2004.t01-4-04003.x.

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44

HOGAN, JOSEPH W., and JEFFREY F. PEIPERT. "Power and Sample Size." Clinical Obstetrics and Gynecology 41, no. 2 (1998): 257–66. http://dx.doi.org/10.1097/00003081-199806000-00006.

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45

Hadzi-Pavlovic, Dusan. "Sample size for kappa." Acta Neuropsychiatrica 22, no. 4 (2010): 199–201. http://dx.doi.org/10.1111/j.1601-5215.2010.00479.x.

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46

Sheps, Sam. "Sample Size and Power." Journal of Investigative Surgery 6, no. 6 (1993): 469–75. http://dx.doi.org/10.3109/08941939309141636.

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47

Florey, C. D. "Sample size for beginners." BMJ 306, no. 6886 (1993): 1181–84. http://dx.doi.org/10.1136/bmj.306.6886.1181.

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48

Bristol, David R., and Linda Shurzinske. "Blinded Sample Size Adjustment." Drug Information Journal 35, no. 4 (2001): 1123–30. http://dx.doi.org/10.1177/009286150103500409.

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49

Rateb, Said, Nabil Dowidar, Mohamed Farid, Ahmed Hussein, and Ahmed Hazem. "PROFESSIONAL DEVELOPMENT Sample Size." Egyptian Journal of Surgery 22, no. 2 (2003): 111–14. http://dx.doi.org/10.21608/ejsur.2003.374670.

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50

Bacchetti, P. "Ethics and Sample Size." American Journal of Epidemiology 161, no. 2 (2005): 105–10. http://dx.doi.org/10.1093/aje/kwi014.

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