CorrelationResearch

Nameof Author

CorrelationResearch on Sample Size and Outcomes

Inconducting research with two or more variables, the correlationmethod of analysis would be the most useful. It is a quantitativemethod that tests the covariations between the subjects of interestwithout manipulating any aspect of the phenomena. Through the varioustools applicable such as the variance and standard deviation, we getto understand in depth how the variables relate(Correlation between Cesarean Delivery and Neonatal Morbidity, 2016).When conducting this type of experiment, one would need varioussources of data which would be compared and then analyzed. Thisensures that the research would not be biased and one sided. One cancollect primary data or use archived information to conduct theresearch. There are, therefore, many options of input data whiledoing correlation research. It is a very useful method when testingtheories and hypothesis by qualifying or disagreeing to the statedrelationships. However, while conducting research on one case theobservation method would serve the research interests. According toGenc, B. &amp Buyukkarci, K. (2013),it encompasses the observation and record of a phenomenon withoutmaking any manipulations or inferences.

Thesample size is determined by the level of error expected. Lowallowances of error require high sample sizes and the reverse istrue. For instance, if you want your service delivery results to have80% instead of 75% confidence interval then you would require morepeople to interview. Large sample sizes reflect better the behaviorof the whole group. Mistakes in the sample size calculation mayaffect the value and power of a study hence it is important to planfor sample size before collecting data(Willan, A. (2011).It also helps one in realizing what size you want and what you do notneed and also helps in planning for the financing of research thusavoids wastage of resources.

References

Correlationbetween Cesarean Delivery and Neonatal Morbidity. (2016).&nbspIJSR,&nbsp5(2),1247-1251. http://dx.doi.org/10.21275/v5i2.nov161293

Genc,B. &amp Buyukkarci, K. (2013). An Assessment of Pre-service LanguageTeachers’ Practicum Observation Forms: Descriptive Observation vs.Critical Observation.&nbspEducationalResearch Ejournal,&nbsp2(2),83-91. http://dx.doi.org/10.5838/erej.2013.22.01

Willan,A. (2011). Sample Size Determination for Cost-EffectivenessTrials.&nbspPharmacoeconomics,29(11),933-949. http://dx.doi.org/10.2165/11587130-000000000-00000