这是一篇英国的留学生代写作业案例,主要内容为r调查和分析report代写

 

任务描述

为了编写您的报告,您应该找到一份可以访问数据和详细说明的调查。您可以在报告中使用符合此描述的任何调查。我们建议您浏览英国数据服务的数据库,其中的数据和

documentation of hundreds of open access surveys from the past decades are available. We provide you with further pointers and assistance during the semester to help you choose an adequate survey for the assignment.

Using the survey dataset and documentation you chose, you are asked to

  1. motivate and formulate a research question about the relationship between two variables of your choice in the dataset (related course material: week 1);
  1. describe the sampling design of the survey using relevant concepts from the course(weeks 1-5);
  1. identify three important sources of bias arising from how your chosen variables were measured in the survey questionnaire (weeks 6-7);
  1. test the relationship between your variables using simple methods in R (weeks 2-5, 8);
  2. propose two ways to improve the quality of the survey, one focusing on the sampling and the other on the measurement of your variables (week 8);
  1. discuss what you find the most important ethical issue in this survey (week 9);
  2. compile a written report on the above steps (week 10).

Structure of the report

We suggest the following section structure for your report (you may choose to structure your report differently):

  1. Introduction: briefly describe the empirical context of the survey
  2. Research question: motivate and formulate your research question (task 1)
  3. Sample: briefly describe the sampling used in the survey (task 2)
  4. Measurement: present the measurement of the two variables, discuss biases (task 3)
  5. Analysis: present and interpret your results (task 4)
  6. Discussion: briefly summarise the main findings, propose ways to improve survey quality, and discuss ethics (task 5-6)
  1. Appendix: add any important additional figures/tables, include R code (so that your analyses can be reproduced)

Marking criteria

20% – Data presentation and research question (sections 1-2 from the above structure)

-Do you present the context of the data (e.g. topic) and the dataset (e.g. types of variables, number of observations you use) clearly?

-Do you formulate your research question clearly?

-Do you explain why you think the research question is interesting and relevant?

-Can you answer your research question with the selected variables?

20% – Description of sampling (section 3)

-Do you provide a clear and correct presentation of the sampling design and procedure used in the survey?

-您是否使用课程中学到的概念来描述采样?

20% – 测量讨论(第 4 节)

– 你是否使用课程中学到的概念清楚地展示了测量两个选定变量的问卷项目?

-您是否使用课程中的相关概念清楚地解释了三个偏见?

– 你发现的偏见在调查中真的很重要吗?

20% – 数据分析(第 5 节,附录)

– 你是否进行了充分的统计测试来回答你的研究问题?

– 您是否使用最适合您的分析的 R 包和函数?

– 您是否在附录中提供了可重现的 R 代码?

– 你解释结果并解释它们对你的研究问题的意义吗?

20% – 质量和道德讨论(第 4 部分)

-您是否清楚地解释了您改进调查抽样的建议?

-您是否清楚地解释了您改进对您分析的一个或两个变量的测量的建议?

– 您在本次调查中发现了相关的道德问题吗?

关于标记的附加说明

我们将重视原创和动机良好的研究问题。

我们还将奖励有关提高调查质量的深思熟虑的想法。

尽管不会评估您的 R 代码,但如果您在附录中提供清晰易懂的代码,我们将不胜感激。

我们将为整个学期的报告的不同元素提供很好的示例和进一步的指导(例如,关于寻找足够的数据集或编写干净的 R 代码)。


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