1. Problem statement:
a. What is a relevant problem that is significant/trending/preventable with a deeper understanding of the data collected?
i. Use outside supporting literature to provide evidence of it being more common lately/bigger problem.
1. Provide values and stats that connect it to the purpose of the study.
a. E.g.- “The risk of preventable death caused by CVD increases x% for every y% increase in body fat in men and women ages 18-45.”
a. Connect it to being able to address or understand the problem statement in part or whole.
i. E.g.- “BMI is still widely employed as a measure of CVD, it requires minimal expenses, time or skill. However since BMI is only a measure of weight per unit of height, it could create measurement errors. Someone of a healthy weight with a poor body composition would be deemed low risk, while someone with a high weight but with superior body composition would be considered higher risk. A better understanding of the relationship between field measures of body composition and “true” values based on UWW could help those at risk, who would not be flagged by BMI, and their health providers to employ a cost, time and skill effective field measure to more properly screen for and track a factor that is correlated to risk of CVD.
3. Briefly introduce the methods used
b. One or two lines for the what/how of each method is fine here.
c. Focus on what some of the already published data say about the advantages/disadvantages of the methods.
i. Consider what population, equipment and protocols they used.
a. Interpret your subjects, materials and methods based on outside supporting literature
b. Connect hypothesis to purpose and problem statement in one sentence.
c. E.g.- “Based on previous literature, it is hypothesized that Inbody BIA will have the strongest correlation for college aged students.”
· Use the same order for the topics as in the introduction.
· Use past tense e.g.- you are talking about something you already did
· Use a list to describe in steps what was done for each part of the methods
· Use directional words and point of reference.
· Include pictures if it will help the understanding of the subject
· Make sure to provide equipment brand, model, country of manufacturing
· Use the same order for the topics as in the introduction.
· Use a summary table to provide averages, r value, standard deviation between variables:
· Use scatter plots to display trends between variables:
· Stay focused on interpreting your findings based on outside supporting literature
· Make sure to be thorough but not superfluous, with your explanations, do not leave follow up questions.
· Provide values, SD and r of the topics in the same order as in the introduction/methods/results.
· Compare your data for each method to the outside supporting literature to determine if the hypothesis was supported.
o How were your populations, methods and equipment different than those who had different results?
§ Find published research that supports the argument that the reason why your hypothesis was off was because your subjects were significantly different than those of other studies.
o If your populations, methods and equipment were not different, what else could have caused variation?
§ Find published research that ran into the same issue and compare their logic to yours.
· Look for patterns in the data and see they can explain the limitations of the methods.
o E.g.- one method constantly underreports values when compared to standard
o E.g.- the rate of change between two variables have a plateau after a certain value.
· Discuss why your findings could be significant to helping address the problem statement.
· Explain what you would do differently to improve the study if you did it again.
o Provide outside supporting literature that did a similar study differently and got more significant results.
· Provide a suggestion based on the patterns of your findings
o Be as specific as you can with the suggestions for individual populations
o Make sure to provide suggestions to address limitations of methods to maximize validity of values.
· Discuss what questions were brought up from interpreting the data that could be answered in a future question.
Use APA format through the references tab in MS Word.
Make sure to read the full article and quote the publishing journal, not just the abstract on NCBI.
E.g.-Citing work within paper:
“One component initially thought to be unable to help predict overtraining is heart rate variability (HRV), which measures the average time from heart contraction to contraction (R peaks) of cardiac rhythm. (Bosquet, S Merkari, & Aubert, 2008). Newer research shows that if the averages of daily changes…”
“Bosquet, L., S Merkari, D. A., & Aubert, A. E. (2008). Is heart rate a convenient tool to monitor overreaching? British Journal of Sports Medicine, 709-714.”
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