代做SOST20022 Essentials of Survey Design and Analysis Semester 2, 2024-25代做R编程

SOST20022 Essentials of Survey Design and Analysis

Final report

Semester 2, 2024-25

1.   General Information

The final report contributes 66% of your total mark for SOST20022 Essentials of Survey Design and Analysis.

Please submit your work using the Turnitin anti-plagiarism service link by Monday, 26th May 2025 at 14:00.  You will be notified once the link becomes available.

Your report should not be longer than 2,000 words. (Figure/table captions, references, reference list, R code and appendices do NOT count towards the word limit).

The final report must be typed, double-spaced in a 12 point in Times New Roman or Arial and must conform wholly to the Harvard Referencing System. A detailed guide is available on the University of Manchester website which is also provided on Blackboard (Assessment > General University Guidance > University of Manchester Referencing Guide; select Harvard Manchester from the Referencing Styles tab on the webpage)

You are advised to keep a copy of the work you hand in. Your attention is drawn to the sections regarding late submissions, mitigating circumstances and plagiarism in the Course Outline (available on the “Essential Information / Course outline” page in Blackboard).

If you have any questions concerning this assignment, please get in touch with Prof Natalie Shlomo

2. Description of the task

To write your report, you should find a survey for which the data and a detailed description are accessible. You can use any survey that fits this description in your report. We suggest that you browse the database of the UK Data Service, where the data and 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;

2.   Describe the sampling design of the survey using relevant concepts from the course;

3.   Identify three important sources of bias arising from how your chosen variables were measured in the survey questionnaire;

4.   Test the relationship between your variables using simple methods in R;

5.   Propose two ways to improve the quality of the survey, one focusing on the sampling and the other on the measurement of your variables;

6.   Discuss what you find the most important ethical issue in this survey;

7.   Compile a written report on the above steps.

3.   Task Overview

4.   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. State the null and alternative hypothesis (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. Show the descriptive statistics of the variables in a table or chart (task 3)

(5) Analysis: present and interpret your results. State the test statistic, the significance level, critical values  and the conclusions from your analysis (task 4)

(6) Discussion: briefly summarize the main findings, propose ways to improve survey quality, and discuss ethics (task 5-6)

(7) Appendix: add any important additional figures/tables, include R code (so that your analyses can be reproduced)

5.   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?

Do you use the concepts learned in the course to describe the sampling?

20% - Discussion of measurement (section 4)

Do you present the questionnaire items measuring the two selected variables clearly, using the concepts learned in the course?

Do you explain the three biases clearly, using the relevant concepts from the course?

Are your identified biases indeed important in the context of the survey?

20% - Data analysis (section 5, appendix)

Do you state the null and alternative hypothesis?

Do you state the test statistic, significance level, and critical values of your statistical test?

Do you perform. the adequate statistical test to answer your research question?

Do you use the R packages and functions most appropriate for your analysis?

Do you provide a reproducible R code in the appendix?

Do you interpret the results and explain what they imply for your research question? 20% - Discussion of quality and ethics (section 4)

Do you clearly explain your proposal for improving the sampling of the survey?

Do you clearly explain your proposal for improving the measurement of one or both of your analysed variables?

Do you identify a relevant ethical issue in this survey?

Additional notes on marking

We will value original and well-motivated research questions.

We will also reward thoughtful ideas about improving survey quality.

Though  your R  codes will not be  assessed, please provide  a  clear  and understandable code in the appendix.