Research design Essay Example | Topics and Well Written Essays - 1750 words

Research invent - Essay ExampleImplication to professional application is included. RCT potentially prevents bias and reduces confounding Dauphin et al. (1999) were able to come up a significant result concering the bias and preciseness in visual analogue series (VAS) while successfully employing the RCT. In this consider, they were able to investigate the characteristics of VAS especially in the measurement of symptoms intensity or frequency. Prior to finding this, the research investigation included theme samples under a prevention trial involving supplement by antioxidant vitamins and minerals of respondents who were 35-61 years gathered from the general population in France. There was inclusion of randomisation from samples prior to investigating the unquestionable point of the study. the same surgical procedure was tyrod during the first and second trials. This means that the actual general data were assumed to represent the entire information obtained from the entire sam ples. This is a remarkable strength of the study because this will eventually reflect on the kind of data that will be used for the VAS. Thus, the study of Dauphin et al reflects the actual framework involved in RCT research design. The RCT in general is trying to create an inference of a particular intervention by randomly employing samples from the entire study sample from a population that should therefore be randomly identified as the word or intervention groups and control groups respectively (Bonita et al., 2006, p.50). Below is the actual diagram or framework showcasing the general flow involved in the RCT research design (Evidenced-Based Dentistry, 2013). One important strength in employing RCT as found in the study of Dauphin et al. (1999) is the presence of consistent result, as depicted by the... In some clinical studies, researchers may be looking forward to a specific treatment response of some authorized illnesses to a given drug. In this reason, they may be able to compare treatment groups with control groups not receiving the medication. In employing a particular clinical study, the reliability of a certain drug may be proven effective or not because of the associated empirical evidence that unrivaled could generate thru the employed research design. Furthermore, there are some studies that would require precise measurement of the actual empirical evidence, so minimising the allocation of bias and new(prenominal) predictive factors has become necessary. One of the most important drawbacks in some studies is the inclusion of probable bias especially in generating data prior to the actual analysis and presentation of results. There are many statistical methods that could try to prevent this from influencing the reliability of the study. However, one common logical approach in statistics is to initiate random trials in response to selecting or acquiring of data. The RCT has relevant advantages and weaknesses, but the bottom line boils down to the skills of the users on how they should properly initiate the research design including its associated process. The RCT is so powerful research design for as long as it tries to represent a general idea about the impact of a certain prevention or treatments applied in a certain population. As a result, it could help determine a generalise conclusion of the general case. Although soul cases cannot be entirely determined, the RCT still proves to be an efficient research design that could be freely integrated within the clinical studies especially in ensuring precision of results and warding off probable bias.