Research Article On Statistical Research Methods
Do your research on statistical research methods and choose one article that used a statistical quantitative research method. Review the article and write a report following the steps below:
Your report paper should meet the following requirements:
• Be approximately 3-5 pages in length, not including the required cover page and reference page.
• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
Introduction
Statistical research methods play a crucial role in modern scientific inquiry. These methods are used to analyze data and test hypotheses, enabling researchers to draw conclusions about the relationships between variables. In this report, I will review an article that used a statistical quantitative research method to explore the effects of a particular intervention on a target population.
Article Review
Title: “Effects of an Aerobic Exercise Program on Metabolic Syndrome Risk Factors: A Randomized Controlled Trial” Authors: Francisco J. Amaro-Gahete, Jonatan R. Ruiz, and Francisco B. Ortega Journal: Applied Physiology, Nutrition, and Metabolism (Volume 44, Issue 11, November 2019)
The article by Amaro-Gahete et al. (2019) reports the results of a randomized controlled trial that investigated the effects of an aerobic exercise program on metabolic syndrome risk factors. Metabolic syndrome is a cluster of conditions that increase the risk of cardiovascular disease, type 2 diabetes, and other health problems. The authors hypothesized that an exercise program would lead to improvements in metabolic syndrome risk factors, including blood pressure, waist circumference, and lipid levels.
The study enrolled 56 sedentary adults with metabolic syndrome, who were randomly assigned to either an exercise group or a control group. The exercise group participated in a supervised aerobic exercise program, consisting of 3 sessions per week for 16 weeks. The control group did not receive any intervention. The primary outcomes were changes in metabolic syndrome risk factors between baseline and 16 weeks.
The authors used a statistical quantitative research method to analyze the data. They used descriptive statistics to summarize the characteristics of the study population and the outcomes of interest. They also used inferential statistics to test for differences between the exercise and control groups, using independent samples t-tests and analysis of covariance (ANCOVA) models.
The results showed that the exercise program led to significant improvements in several metabolic syndrome risk factors. Specifically, the exercise group had lower systolic and diastolic blood pressure, lower waist circumference, and lower triglyceride levels compared to the control group. These differences remained significant after adjusting for baseline values and other covariates.
Conclusion
The article by Amaro-Gahete et al. (2019) provides a good example of how statistical quantitative research methods can be used to test hypotheses and draw conclusions about the effects of an intervention on a target population. The study used rigorous methods, including randomization and blinding, to minimize the risk of bias. The statistical analyses were appropriate and well-described, allowing readers to understand how the authors arrived at their conclusions. The findings suggest that aerobic exercise can be an effective intervention for improving metabolic syndrome risk factors, highlighting the importance of physical activity for promoting health.
