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The success of the process of conducting research is largely based on the methods used to gather the information and the interpretation of resources available. In order to achieve a high degree of accuracy as well as to guarantee the substantial nature of the research process, the use of special research methods such as the quantitative and qualitative analysis is vital. However, these two methods have both advantages and limitations and, depending on the way in which these methods are used, they can provide various results.
The present paper considers the two methods of analysis as applied to a case study. In the first part, it discusses the two methods from a theoretical point-of-view. Quantitative and qualitative research are rather different in the sense that they provide different perspectives of analysis: while quantitative research focuses on providing information that supports a pre-established theory, qualitative research gathers all type of information, from as many sources as possible and taking into account as many perspectives as necessary to ensure a holistic approach to the subject, and then elaborates a theory based on interpretation of information acquired and their establishment into a coherent background. Examples for both types of research will be provided to better illustrate the way in which the two can be utilized and their shortcomings and strengths. In this sense, for quantitative research, the case of Greece accession into the Eurozone is essential to point out the role statistics, as a crucial resource of information for quantitative research can be taken into account and if not considered properly, provide a different result that the real one. For qualitative research, the case of Sudan, as one of the largest countries in the world, is significant to point out that without a holistic research conducted on the issue, an interpretation can lead to mixed conclusions or theories, reason for which it is crucial to have as many information and knowledge as possible to avoid misinterpretation and thus limit the effects of subjective analysis and research.
The second part of the paper, these two methods are used to provide an applied case study in order to point out that depending on circumstances, the two methods of research are prone to failure if the information gathering process is flawed.
Part one: quantitative and qualitative methods of research
Quantitative method of research
There are many definitions to point out the most important aspects of quantitative research. One academic definition considers "Quantitative research is an inquiry into an identified problem, based on testing a theory, measured with numbers, and analyzed using statistical techniques. The goal of quantitative methods is to determine whether the predictive generalizations of a theory hold true." (Creswell, 1994) There are several aspects to be taken into consideration in this definition. On the first hand, quantitative research considers the issue of research based on an already established theory that needs verification or data input. In this case, quantitative research views the research process as a means of gathering information with an already path set and a direction based on a theory that needs enforcement.
On the other hand, the use of quantitative methods of research take into account a more objective environment, in most cases an analysis of the data that can be verified and not necessarily interpretable. More precisely, "Quantitative research is empirical research where the data are in the form of numbers." (Hughes, 2012) Therefore, at the same time, the means and working tools for quantitative research most often are the statistics available. This type of research is much more objective in nature largely because it aims to provide information that is not mediated by interpretation of human experience. It tends to reflect the actual nature of the data available and the numbers usually are constructed in the form of statistics.
An important aspect that needs to be taken into account when discussing the issue of quantitative analysis is related to the actual purpose of the utilization of this method. Clearly, when making use of one method or another, the results may appear to be different. More so, when communicating information gathered or acquired through quantitative analysis, although the information may be correct, they can be tailored in such a manner as to suit a particular purpose.
The fact that quantitative research is related to a pre-ordained theory is essential. More precisely, statistics about different areas of a national economy for instance can be gathered...
On the other hand, qualitative research is process oriented and usually seeks the methods by which individuals draw certain conclusions about the information under scrutiny. It is more aligned with studies on social systems that have numerous variables and properties. There would be a search for "chain" sequences that lead to events. Criterion five, Sampling, as previously stated has very different emphasis in either of these methods. In quantitative analysis,
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The time-constant covariates influence the latent variable while the time-varying predictor variables influence the independent variable. In estimation of the model the start was with a 'one-class' model with progressive adding of classes and comparison of models through use of the "Bayesian Information criterion (BIC) which compared the "expected cell frequency counts with actual cell frequency counts found in the sample data." (Ibid) Stated is that improvements in model
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