5月 21, 2013

代写thesis定性数据分析

代写thesis

Analysis of Qualitative Data
Basically, there are two different approaches in analyzing qualitative data. In one case, the data processing is done retrospectively and exclusively by the researcher. This is the most common method. All in all, participants are encouraged to participate directly in the data processing that may be returned by the driver (the experimenter or researcher) during the experiment, so that they include in the experimental situation to guide their own experience (Miles and Huberman, 1994). This approach forms the basis of Grounded Theory, which aims, in particular, to define a field of study unknown. These methods put greater emphasis on the interactions between the researcher and the study group, and in some cases, questioning the difference between secular sociology and sociology work.
The data collected will be analyzed using suitable statistical methods. Experienced people will be employed for the data analysis of the data collected from the survey.

Conclusion
All these steps are required to complete the research. The literature review should be strong enough to carry the aim of the research. We have taken two literatures for reviewing. The literatures should be selected quite wisely and they should not be old. It is better to reviews literatures that are of maximum 5 to 6 years old as we have taken above. The methodology and data analysis part must be good enough as these parts are quite important in any research. The sampling techniques must be chosen nicely and appropriately. It is better to gather data from as many samples as possible to make the research more effective.

 

代写thesis

定性数据分析
基本上,有两种不同的方法分析定性数据。在一个案例中,负责完成数据处理追溯和专门的研究人员。这是最常用的方法。所有的一切,鼓励参加者直接参与驱动程序(实验者或研究员)在实验过程中,可能会被退回数据处理,包括在实验情况下,让他们来指导自己的经验(万里和Huberman,1994 )。这种方法形成的基础的基础理论,其目的是,特别是,定义一个领域的研究不明。这些方法将更加注重研究者与研究组之间的相互作用,并在某些情况下,质疑世俗社会学和社会学工作的区别。
收集到的数据将被使用合适的统计方法进行分析。从调查中收集到的数据的数据分析,有经验的人会被雇用。

结论
所有这些步骤都必须完成的研究。文献回顾应该是强大到足以进行研究的目的。我们已经采取了两个文献的审查。文献应选择相当明智的,他们不应该是旧的。这是更好地最大的5到6岁,因为我们已经采取上述文献。必须足够好,因为这些部件是非常重要的任何研究的方法和数据分析部分。必须选择很好,适当的采样技术。收集尽可能多的样本的数据最好是尽可能地让研究更有效。

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