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I would like to begin by stating that I incur that utilizing both numerical and qualitative research for conducting research is the go around r come ine to take. Although qualitative research is usually better for exploring, understanding, and uncovering, denary research is generally better for confirming and clarifying. Numbers are good, though on their own they cannot tell the whole story.
For example, a research study conducted by a new attribute management company may find that in a complex of twenty residents, in which fifteen residents preferred that no pets be allowed on the premises and five of the residents feel that they should be allowed. Should the new management company adopt a polity of no pets allowed or should it have a mixed form _or_ system of government depending on which residents were knotted? The evidence, as it stands, could be used to confine either. More importantly, we cannot be sure of the strength of feeling of distributively of the residents nor why they hold their views. It might be that the fifteen disfavor having pets on the property due to a previous construe with former tenants, with pet noise and sanitation could be a factor as well. Or. They could just flat out not be animal lovers.
Indeed, until we find out more flesh out of why these tenants hold their opinions, a range of possibilities can be imagined for which policy will be adopted.
Qualitative researchers are enkindle in answering those why? questions and are not inclined(p) to simply accept the quantitative answers. That is not to suggest that the quantitative data is not important for to know that fifteen out of twenty have one view rather than another(prenominal) is useful. It is just not enough on its own. When placed alongside qualitative evidence, quantitative evidence is both clear and powerful. Although sometimes it can appear so powerful that it overpowers the opinions of the people involved and this is a danger we have to watch....If you want to get a full essay, order it on our website: Orderessay
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