ASSIGNMENT代写

莱斯特代写Essay:研究人员的问卷

2017-07-05 18:09

调查问卷为研究人员提供了收集大量数据的机会,因为可以问的问题数量很多。它们可以包含开放和封闭的问题,也可以是开放的或封闭的问题。封闭式问卷收集研究人员在数据分析过程中可以测量的定量数据。这是因为所有参与者都回答了同样的问题,选择了所提供的选项中的一个。开放式和封闭式问卷调查收集定性和定量数据,因为尽管参与者回答同样的问题以提供定量的结果,但他们问“为什么?”在每一个问题之后,研究者打开了解释性的调查问卷,因此也有了定性的数据分析,问卷调查作为一种研究方法有许多优点。它们在成本和时间上都很经济,允许大量的数据被发送出去,从而增加了返回一系列响应的可能性。参与者也有匿名性,因为他们的名字没有出现在问卷上,这意味着库马尔(2010:148)提到了这一好处,并说:“由于没有面对面的互动,受访者和采访者,这种方法提供了更大的匿名性。在一些情况下,敏感的问题有助于提高获取准确信息的可能性,这一点是明确的,如果参与者都知道他们将保持匿名,他们更有可能如实回答,这是必要的为了研究是准确的。
莱斯特代写Essay:研究人员的问卷
Questionnaires offer researchers the opportunity to gather large amounts of data, due to the number of questions that can be asked. They can contain open and closed questions as well as just open or just closed questions. Questionnaires with closed questions collect quantitative data, which the researcher can measure during data analysis. This is because all participants have answered the same questions, selecting one of the options provided. Questionnaires with open and closed questions collect qualitative and quantitative data, because although participants are answering the same questions to give quantitative results, by asking "why?" after each question, the researcher has opened the questionnaire to explanations, hence having qualitative data to analyse as well.There are many advantages to using questionnaires as a research method. They are economical to produce, both in cost and time, allowing a large number can be sent out thus increasing the possibility of getting a range of responses back. Participants also have anonymity, as their name does not appear on the questionnaire which means Kumar (2010: 148) refers to the benefit of this and states "As there is no face-to-face interaction between respondents and interviewer, this method provides greater anonymity. In some situations where sensitive questions are asked it helps to increase the likelihood of obtaining accurate information.From this it is clear that if participants know they are going to remain anonymous, they are more likely to answer truthfully, which is essential in order for the research to be accurate.