代写POLS0008 - Introduction to Quantitative Research Methods Final report 2023–2024代做留学生SQL语言程序

日期：2024-04-22 12:54

DEPARTMENT OF POLITICAL SCIENCE

POLS0008 - Introduction to Quantitative Research Methods

Final report 2023-2024

Guidelines for Completing and Submitting POLS0008 Report

. Read the below guidelines to avoid losing unnecessary marks.

. The assessment is due on 29th April at 14.00 hours. Please follow all designated Department of Political submission guidelines. THESE MAY BE DIFFERENCE TO THOSE OF YOUR HOME DEPARTMENT. The submission guidelines are available on the Moodle page for this module. The word limit is 3,000 words, including tables and graphs, references, and your R script. appendix (see below).

. Name the file you submit using your 2023-24 Candidate number.

. This is an assessed piece of coursework for the POLS0008 module; collaboration and/or discussion with anyone is strictly prohibited. The rules for academic misconduct apply and any cases of suspected academic misconduct of published work or the work of classmates will betaken seriously.

. Along with the report outline, the datasets for the report can be found in the ‘Datasets’ folder on Moodle.

. The data come from DCMS Participation Survey 2021/22 - push to web survey of 33,000 adults aged 16 and over.

. You may open the dataset and work on the report anytime up until the submission date. There is no limit on the number of times you may open the data files. Be sure to save your data file and R script file.

. Where appropriate, answers should be written in complete sentences; no bulleting or outlining. Be sure to answer all parts of the questions posed and interpret output statistically and substantively. An attempt will almost always be worth more marks than no attempt.

. You should include tabular and graphical output alongside your written answers.

. You are required to submit a copy of your R script appended to your report. You can copy and paste this from your R script window to the end of your word- processed document.

. FAILURE TO SUBMIT YOUR R SCRIPT. WILL INCUR A 5-POINT PENALTY.  Note that your R script file should include comments indicating the question being addressed. Your R script. file should contain only the exercises/questions asked here.

. You do not need to explain in detail the background to the study or methods of data collection.

. You should not cite or discuss relevant literature.

. You should discuss the interpretation of your results  and how they relate to the questions you were asked.

. You may assume the methods you have used  (e.g.,  chi-square  and t-test) are understood by the reader and do not need definitions, but you do need to say which techniques you have used and why.

. 10 points will be awarded for presentation.

Submission checklist

To Turnitin - Report

1.    Written report including figures

2.    Annotated R script

These documents should be submitted to separate Turnitin links on Moodle.

The data file is “participation_2021-22_annual_data_open.dta” . You can download this file in the usual way from Moodle once you have agreed to the conditions of use. A brief user guide can be found here.

The variables in the “participation_2021-22_annual_data_open.dta” dataset that you might require are:

Variable name	Variable description/label
ArchIndivSerial	Unique serial number (Archive)
WELLB1	Overall, how satisfied are you with your life nowadays?
Ethnic1	Broad ethnic group
AGESHORT	Age group (5 bands)
FINHARD	Financial situation
CDIGHER12_003	Researched your local history online in last 12 months
LONELY	How often do you feel lonely
CHERVIS12_001	Have you visited a historic city or town
CFREHER12_a	How often have you visited a historic city or town
Mode	Online or paper survey

DOs and DON’Ts

-     DON’T include raw variable names in the text or tables

-     DON’T use too many decimal places, but be consistent

-     DON’T include unedited R output or you will lose marks

-     DO make sure tables and figures have titles and are referred to in the text

-     DO make sure your tables and figures can be understood without reading the text

-     DO make sure you have given a clear enough description of what you have done so that the reader can reproduce any numbers/results that you present

-     DO be careful how you use the terms ‘significant’ and ‘correlation’ because they have specific meanings in social statistics.

Report brief

You have been commissioned by Historic England to write a report on the benefits of engagement with heritage on wellbeing and loneliness. You will use data from the DCMS Participation Survey 2021/22. You should start your report with an introduction describing the data and variables you will use and present  complete  case  sample characteristics in a table (10 points). Your report should end with a concluding section, using no more than 400 words, summarising how your findings can inform whether engagement with historical heritage improves wellbeing and loneliness, as well as addressing limitations with your data and methods that are based within your findings (20 points).

You should present your results using a maximum of eight figures (tables or plots). Ensure all results are interpreted substantively and statistically. You may be required to recode the data to answer certain questions. You should specify an alpha level of 0.05.

1.   How does mean satisfaction with life vary within and between the following measures: ethnic group, age group and financial situation? (10 points)

-     Calculate  an appropriate measure of central tendency and dispersion for life satisfaction for categories of ethnic group, age group and financial situation. Report a table and describe its contents.

2.   Is there a difference in the mean life satisfaction between those who completed the survey online compared with those who completed the survey on paper? (15 points)

-     Use an appropriate statistical test to test this hypothesis and demonstrate whether your data meet the assumptions to conduct the test. State your hypothesis and report the results of your test in a table. Describe whether the data meet four assumptions required for the test using the data in the table and using up to two separate plots.

3.   Do people feel lonely less often if they research their  local history online? (10 points)

-     Produce across tabulation between how often they feel lonely and whether they research their local history online. Describe the finding from your table and report the result of an appropriate statistical test to determine whether there is a difference between the two variables. Present only a final cross-tabulation that meets the assumptions of the test.

4.   Does visiting a city or town with celebrated historic nature more regularly predict life satisfaction? (25 points)

-     State a research hypothesis.

-     Report the result of a statistical model in a table.

-     Describe the findings from your model relating to your hypothesis.

-     Check for model fit and describe what it tells you about your model.

-     Check your model for two assumptions of your residual values using appropriate tests and plots.

10 points are reserved for clear presentation and clarity of answers, especially

regarding production of tabular and graphical outputs. This includes readability of all outputs and correct labelling of axes in plots. Table and figure titles as well as numbering are important aspects of presentation. Please make sure to label a  table with a table title, and a figure with a figure title.

. 8- 10 clear answers with outputs shown in concise format

. 5-7 correct answers with outputs that can be understood but cumbersome

. 0-4 confused answers with unclear outputs.