Research on Poverty in Social Sciences
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Introduction
In social sciences, poverty is seen as the state of a person who is lacking a social or
usually acceptable amount of material possessions or money (Meyer &Sullivan, 2012). Poverty
is deemed to be present when a person lacks the means through which one can satisfy the basic
needs. In such a context, identifying persons that are poor first calls for determining what
comprises basic needs. Basic needs can be identified as those that are necessary for a person to
survive. The first criteria of poor people would be those that are, through exposure, in the border
line of death or starvation that can result in death. The second criterion would comprise of
persons who although they have access to clothing, housing and nutrition, these are still
insufficient for the preservation of their lives and are not at par with other people across the
globe (Wight et al., 2014). The problem of defining poverty is complicated further by the non-
economic connotation of the word itself. For example, poverty has been linked to improvidence,
low skills or education levels, unwillingness or inability to work, and poor health. Although
these attributes are linked with poverty, including the same on defining poverty would obscure
the relation between the ability of a person to meet their basic needs and this additional
characteristic definition (Wight et al., 2014). Whichever definition given, social scientists agree
that the effects of poverty cause harm to the society and the individual as well.
Quantitative Research in Social Work
Quantitative research operationalizes variables in a study. This kind of research seeks to
measure a change and allows a researcher to make significant relations while at the same time
quantifying any correlations in data. The aim of Quantitative studies in social sciences is to
generalize findings to large groups through use of large sets of data and specific methods of
sampling. Quantitative data also can provide descriptive statistics on the location or population
and allows for one to grasp the study objects’ key characteristics (Barnham, 2015). Quantitative
data has advantages in social research such as allowing the researcher to reach a higher sample
size. This means the results obtained give the research outcome enhanced credibility.
Additionally, information for a quantitative research can be obtained relatively fast; the fewer
delays in acquiring these resources make finding correlations easier. Further, duplicating results
is much easier with quantitative studies; the work self-validates because the results can be
referred back to the same data (Barnham, 2015).