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The sort of treatment that clinics and doctors provide for obstetric patients is being studied in order to determine the best methods for achieving results and determining their success. Collaboration is required to compare the effectiveness of advanced and casual care. A study of doctors on women with obstetrics and those without yielded some results, as did a group of experts (Melville et al., 2014). The credibility of results is difficult to establish, but if the accuracy and mode of research are identified, it will be simple to discover and judge. Analyzing statistical validity and significance requires the keen interest in the methods, percentage and percentage distributions as in this case.
The validity measurement in the research was a real time example of people suffering from obstetrics. The positive women in depression and the others suffering from post-traumatic stress disorder shared a distribution within a period of 12 months. Variance in the research was from the people with different care: normal, intermediate and advanced. Another factor contributing to the validity of the measurement was the worldwide spread of the problem, which add to the original ideas and contribute to the credibility of results and conclusion (Kenny, 2014). Time taken for the research was from 2009 to 2011, where the chosen people went for an interview with experts analyzing their situation (Melville et al., 2014).
Distribution system and frequency were ideal for the experiment. 44% and 55% were nonwhites and those having post-traumatic stress disorder respectively. Their age distribution was in the right bracket, mostly 39 years. Though this was the right age for the women suffering from obstetrics, it appeared a little biased on the age bracket and distribution. From the results, around 94% completed the screening, 16% tested positive, as 64% tested negative. These distributions are suitable for statistical conclusions and analyses for responsible change (Kenny, 2014). The distribution of 6 months, 12 months, and 18 months was uniform and useful for study since diagnoses focus on time to determine the effectiveness of research.
Use of good percentages is in the research. It starts by analyzing the results in every topic of discussion. It is a good way of showing the different research fields and their impacts at various research methods (Kenny, 2014). Percentages also include the timeframe, the distribution of risks and the timely analysis in the research. These confirm the possibility of the same concept by underscoring the imminent dangers of the age groups of interest in obstetrics. Cumulative frequencies show the percentages in totality or combination. Melville et al., (2014) use the totals for each segment should always reflect the general appearance as in most research and the final analysis. From the study of obstetrics, the combinations of people suffering from the disease are useful for planning the intervention methods for the patients.
Presentation of the data is by scattering graphs or line graphs drawn by computer-aided applications. They show the progress of some condition for a period, underscores the rising and falling points of the research. Most healthcare and other professional researchers use graphs for checking on the trends, which are equally to gauge the forecast of the event (Melville et al., 2014). The factors here are examples that gauge the research credibility, analyses, conclusion, and presentation. Other choices are methods, the time, the distribution that is critical for professional steps in improving healthcare. Choosing these methods are for the good of the project, and their wise representation gives no room for doubt (Kenny, 2014). The graphical and percentage measures of the results are for presentation and analyses. The people who reach out to these projects for studies have easy understanding and find the results credible.
Kenny, P. (2014). Better business decisions from data: Statistical analysis for professional success. Berkeley, CA : Apress.
Melville, J. L., Reed, S. D., Russo, J., Croicu, C. A., Ludman, E., LaRocco-Cockburn, A., & Katon, W. (January 01, 2014). Improving Care for Depression in Obstetrics and Gynecology: A Randomized Controlled Trial. Obstetrical & Gynecological Survey, 69, 9, 539-540.
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