2014
DOI: 10.1590/abd1806-4841.20143705
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Sample size: how many participants do I need in my research?

Abstract: The importance of estimating sample sizes is rarely understood by researchers, when planning a study. This paper aims to highlight the centrality of sample size estimations in health research. Examples that help in understanding the basic concepts involved in their calculation are presented. The scenarios covered are based more on the epidemiological reasoning and less on mathematical formulae. Proper calculation of the number of participants in a study diminishes the likelihood of errors, which are often asso… Show more

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Cited by 121 publications
(90 citation statements)
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References 3 publications
(8 reference statements)
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“…Further, the scores of both measures were correlated, suggesting that the more frequent their orofacial dysfunction, the greater the impairment of QoL in both populations. The strengths of this study include an a priori sample size calculation, as this is an essential item to reduce the probability of error 26 , and matching controls by age and sex, which allowed for the homogeneous distribution of these variables in the groups. Another strength of this investigation was the use of standardized questionnaires and also the standardized assessment of the oral conditions by a single calibrated/trained examiner.…”
Section: Discussionmentioning
confidence: 99%
“…Further, the scores of both measures were correlated, suggesting that the more frequent their orofacial dysfunction, the greater the impairment of QoL in both populations. The strengths of this study include an a priori sample size calculation, as this is an essential item to reduce the probability of error 26 , and matching controls by age and sex, which allowed for the homogeneous distribution of these variables in the groups. Another strength of this investigation was the use of standardized questionnaires and also the standardized assessment of the oral conditions by a single calibrated/trained examiner.…”
Section: Discussionmentioning
confidence: 99%
“…But in our meta-analysis, the results were just the reverse. In fact, there are two critical factors influencing the results of subgroup analyses: one is the limited sample volume in this research [41]; the other may be the general pathway existing in the various subtypes of NDs, in which the miRNAs selected are just involved.…”
Section: Discussionmentioning
confidence: 99%
“…Primary research was conducted using the self-administered research questionnaires that were given to a sample size of six hundred (600) members of stokvels to fill in. In support of Martinez-Mesa et al (2014) argument, the larger sample size is normally associated with greater precision. It is against this backdrop that the current study chose a sample size of 600 respondents.…”
Section: Methodsmentioning
confidence: 96%