Research Essay Example | Topics and Well Written Essays - 500 words - 27

Research - Essay Example This data is utilized to explore the existing correlation between variables of interests and diseases. In other words, cross-sectional methodology presents an image of the occurrence of a disease in a population in any time interval. This research technique is preferable in the assessment of diseases that pose as a burden to the population. The information gathered by this technique will assist in the allocation of resources related to health and planning. It entails the study of purely descriptive information. It is utilized in the assessment of occurrence and distribution of a given disease in a specified population. For example, schools randomly sampled across New York can be utilized to assess the prevalence or the burden of Yellow Fever among 12-17 years old. Analytically, the study data may also be utilized to investigate the relations between an alleged risk factor and an outcome of health. Nevertheless, this type is limited in the drawing of valid conclusion regarding possible casualty or association since the presence of outcomes and risk factor are determined simultaneously (Blade, 2001). This makes it hard to evaluate which of the exposure or disease came first. Therefore, it requires a combination of more than one methodology for the technique to be rigorous. Information collection regarding the risk factor is retrospective, hence likelihood of biasness. Information collected regarding outcomes; exposure and disease is not reliable in drawing conclusion in reference to the health status of the sample population. Simultaneous evaluation outcomes and risk factor pose the risk of biasness of the results obtained in the analysis (Pine, 1997). Therefore, it will be difficult to trust that the data obtained is of desired accuracy and precision. Another hindrance of the technique lies in the fact that, the mystifying factors in most cases will not be similarly distributed amongst the various sets of interest in the research. The inequality causes