Saturday, August 24, 2019

Module 3 DQ 1 and 2 Assignment Example | Topics and Well Written Essays - 500 words

Module 3 DQ 1 and 2 - Assignment Example The representative member must have some elements of commonality uniting him with the population. There are several reasons why survey and cohort research designs are used. When the need to determine general trends, public perception and opinion towards the government, its policies, businesses, healthcare institutions or sector and the media arises, survey research designs comes in handy. The same can be used in both small-scale and large-scale levels of research studies. After determining the aim of the research design, the sample group is determined, in order to ensure accuracy. As a form of research design, surveys are flexible enough to be carried out either on a face-to-face basis, or via mail (Turlik, 2010). Conversely, cohort design can be used in both medical science and social science researches. This type of experimental design is very popular because, it factors statistical occurrences within a designated subgroup, and hence upholding the highest extent of accuracy possible. The results accrued are valid since the subgroup has similar characteristics that are pertinent to the problem being researched on. The cohort design is popular because of its flexible nature, its compatibility with both primary and secondary data and its affiliation with ethical standards. Internal validity has to do with: how well a research study has been carried out, in light of operational definitions and the research design used and the measuring of the variables; and the extent of confidentiality that is adduced when observing the effects brought about by independent variables, in lieu of extraneous variables. Again, internal validity covers accuracy of the results produced. If for instance sampling is done inchoately, results obtained may be inaccurate. Errors and biases can undermine the validity of a research study in several ways. First, the failure to do random sampling will automatically generate inaccurate results. For instance, if a designated sample

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