Cont. Article Review Example

Cont. Article Review Example Cont. Article Review – Coursework Example Article Review Article Review The statistical discussion in the hypertension article uses inferential statistics to sample its data obtained through random variation as observed. In its analysis and selection of statistical tests, the article often uses aspects of comparison to determine the validity of both independent and dependent variables especially when trying to influencing the outcome. On the other hand, in regards to distribution tests, there is analysis of variances as seen in the understanding of hypertension as disease that results to cardiovascular failure. However, the use of the 1,239 respondents is an indicator of the prevalence of the illness because of the statistical rationale of using observational study. Selection for the tests is equally based on the rationale of relating the sample data sets that are fundamental in the methods of determining the effect of hypertension within the cross-sectional community. Alternatively, the decision to interview 7,164 families amongst the population totalling 45,587 reveal the connection between dependent and independent variables in influencing results (Creswell & Clark, 2011). These results, for instance, demonstrate that 35 percent or 434 males are directly affected by the disease because of socioeconomic status experienced in the rural areas. On the other hand, according to Creswell’s table, association between groups and group comparison is a reflection of the study subjects because it identifies the risk levels of the high blood pressure among the population. Comparing of significant correlates of the disease in terms of the variables of age group, gender, and literacy level also portray the difficulty of using cluster sampling to determine the correct results. ReferenceCreswell, J. & Clark, V. (2011). Designing and Conducting Mixed Methods Research. New York, NY: SAGE.