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Qualitative Research Studies

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Background Information: In the previous study the objective was to evaluate variables over a long-time period and see if there was a relationship to diabetes (Wong, Chou, & Ahmed, n.d). The variables that were evaluated were gender, race and age. Furthermore, these variables were observed in a population of 150,753 obese individuals from California over a long period of time to see if there was a relationship between each of the variables and diabetes. The population distribution was 59% were female and 41% were male. This uneven distribution could have caused the data to be skewed and not give an accurate representation of the population. The study used to compare the categorical variables in this study was a chi-square test and analysis …show more content…
Our original sample of 700 people who were diagnosed as obese from 4 different hospitals in Arizona. Everyone was assigned a number. Then a stratified random sample was drawn from a number generator in order to get a sample size of 500 individuals. This is the most appropriate sampling technique because for a chi-squared test requires that a simple random sample be taken.
By taking a stratified random sample we are just ensuring that there is equal representation of male and females so that we can ensure that we have an accurate representation of the population. Furthermore, having an equal amount of each gender we are also preventing our data from being skewed or bias. By preventing bias in our sampling, we are able to provide unbiased data that accurately depicts the population. The population for generalization in our study is 500 obese individuals ranging from 21 to 50 in Arizona. There is equal amount of each gender and since the subjects and since a stratified random sample was used no bias is ensured and all racial demographics are represented which is crucial to this …show more content…
Based off our research there may be a study conducted looking at individuals based off marital status and obesity. A potential hypothesis could be single individuals with higher income are less likely to be obese than married individuals who have a lower income. For future researchers, I would suggest to take a larger sample size than our previous study to better represent the population. Also, instead of getting referrals from just hospitals I would get referrals for participants from private family doctors to expand the number of referrals. This future research would expand on the research by looking at another variable that could affect

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