Thursday, December 12, 2019
Results and Conclusion Paper free essay sample
Once these children had been selected, height and weight measurements were calculated and the children began enduring the tests. There were different tests for height, weight, sex and age brackets for the children. Also, body mass index (BMI) was figured out for the children. This method of data collection is appropriate for this article due to the fact that the problem is that there is too much childhood obesity in 9 and 10 year old children and the testing of children of all heights, weights and both sexes is a good way to figure out an average of just how much the average child is overweight. The reliability of this article is just that the tests were done over and over again during different parts of the years to show that the childrens body mass index differed very little. The validity of this article is that the testing was done on a wide enough group of children that the point was well proven. In this article and during the testing of the children, they were not run ragged or forced to do these tests. Sportslinx was the one to help find the children from the schools, the article does not state if there was any other type of protection or permissions for these children to attend the testing for this survey. In doing testing on a especially children, there are many laws that have to be followed. For one the children are minors, meaning that the people doing the testing have to have parent or guardian consent. If something were to happen to these children medically speaking the parent or guardian would have to be notified, and then be present at the time of the childs treatment. Each child would then have HIPPA rights, as well as privacy rights if they were treated for medical reasons. For the testing each child would have the human rights as well as privacy rights. All of these have to be taken in to account due to the fact that the children are after all just little people. Qualitative and Quantitative Data Qualitative and quantitative data are very important in research studies. The distinctions between qualitative and quantitative is that qualitative is the quality of the research data, and quantitative is the quantity of the research data. The qualitative data in this research study is the fact that the study was done on children of multiple ages, both genders, different weights and multiple body mass indexes, (BMI), and put them through the same types of test continuously. This was done to get baseline readings for different types of situations, and multiple height weight ratios. The quantitative data in this research study was the fact that the study repeated the testing on the children year after year to continue the readings, and configure the data readings. With this being done this helps be more factual with what is happening per child rather than an estimation or an educated guess of what could possibly happen with each child. Data Analysis Procedures Data analysis procedures are important in research studies because they tell if the a sample is taken or if this research is done as a whole. In the event of this study research, the data analysis procedure is an inferential statistical analysis. An inferential statistical analysis involves observation of a sample of a given population. Conclusions about the population are inferred from the information obtained about the sample (Neutens amp; Rubinson, 2010). In the case of this research study, there is a sample of children that are taken from the population and are tested an observed. Conclusions are drawn after the testing is concluded, and the data is recorded. Study Findings/Study Conclusion The findings of the article were great. The findings were much different than what was expected. The body mass index, (BMI), of the children changed very ittle of the year with the testing, and the same activities. Their body mass index hit a plateau because the children got used to the routines that they were doing. Which in modern diet and exercise, this has been shown to happen, so this can be expected of the children. Now if their routines had changed every now and then maybe they would have had better results. In the case of this research study, it is hard to believe that these children were on very strict diets for this long. It is stated that the testing was done on a year to year basis. Children are constantly eating junk food and having soda, and many other things that they should not be having, and it is very hard to believe that they went without these types of things for this long, unless they lived in a facility for the entire time of the testing, which is not stated. For better testing results a better research study would have to be done. For this research study the participants would have to live on-site, in a facility that could house many people for over 30 days. The next thing that would have to be done, is that all of the participants would have to be on the same type of diet. IF the participants are allowed to eat whatever they like this defeats the purpose. Lastly, for a research study like this all of the participants would have to do the same amount of daily exercise. Within 30 days of the start date of the study there would be a change in the participants, many would notice weight loss, and some would even notice new muscle growth. If the test was elongated then the participants would notice more changes. The limits of the research study that was done limit the conclusion that can be made for future predictions. In Closing In closing there are many things that could have been differently to change the results of the research study that was done. Maybe there could have been better results and outcomes out of the study as a whole. Yet at the same time there were many results that came out of the study that was done, and this will still be able to help many children in the world now. Maybe in the future another study will be done with newer and more improved testing structures. Reference Neutens, J. J. , amp; Rubinson, L. (2010). research Techniques for the Health Sciences (4th ed. ). San Francisco, CA: Pearson Education.