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STAT6117 COURSEWORK 1 ASSIGNMENT 2022

Submission

Your solution to the following tasks is worth 40% of the overall marks for this module. This coursework is due in on November 24, 2022 at 16:00 (4:00pm). You should submit coursework electronically via the TurnitinUK on Blackboard in PDF format (see more information on pp. 4-5).

The coursework should not exceed 3,000 words. You can use appendices to display additional information and big tables, but these appendices should not exceed 5 pages. If you exceed these limits, your mark will be reduced (see more information on pp. 4-5).

The word count includes:

· Body of Text

· Section Headings and Subheadings

· Quotes and citations that are within the body of text

The word count excludes:

· Title and Subtitle

· Table of Contents

· Abstracts (if relevant)

· Tables and Figures including captions

· List of figures, list of tables etc.

· Acknowledgements (if relevant)

· Appendices (which have their own limit of 5 pages)

· Bibliography / List of References

This coursework assignment relates to materials taught in lectures 1-12 and computer workshops/tutorials 1-4.

Marking criteria used in marking this piece of coursework can be seen on p. 6 and marks breakdown for each section of the assignment is shown on p. 3.

Assignment

Evidence suggests a link between marital status and body weight as proxied by BMI (body mass index) 1. Studies suggest that married individuals have a healthier BMI than those without a partner. As BMI is related to a number of chronic conditions and higher rates of mortality, policy makers are interested in whether family policy is an option to improve public health.

In your report, examine whether a person’s relationship status is associated with adult BMI in Great Britain (England, Scotland, and Wales). Additionally, there are many contributing factors affecting individual BMI that may explain the association, if any, between relationship status and BMI. These factors include demographic, childhood, and health behaviors. Performing a quantitative analysis of these variables and their associations with BMI is salient to understand the variation in adult BMI.

Use literature to guide you in choosing which other explanatory variables than marital status to include in your model. The citation mentioned above is a good place to start, but you also need to search relevant literature yourself. Do not forget to also cite relevant literature when discussing the methods you use in your coursework assignment (hint: you can use textbooks for this purpose).

The data used in this assignment were extracted from The 1958 National Child Development Study (NCDS)2. Participants were interviewed several times and data for this assignment was drawn from age 42 with some variables collected when they were aged 11. The following variables are included:

Variable name

Variable label

Categories

ncdsid

Respondent serial number

bmi

Body-mass index at age 42

gender

Respondent’s gender

0=female, 1=male

Fclass

Father’s social class when respondent was age 11

1=Professional, 2=Managerial, 3=Skilled non- manual, 4=Skilled manual, 5=Semi-skilled manual, 6=Unskilled

childcog

Child’s early cognitive ability from Age 11 [higher scores reflect higher cognitive ability]

maritalstat

Marital/Partner status at Age 42

1=Married, 2=Cohabiting, 3=Single, 4=Separated/Divorced/Widowed

smoke

Smoking status at Age 42

1=Never, 2=Used to smoke, 3=Current smoker

employment

Employment status at Age 42

1=Full-time, 2=Part-time, 3=Unemployed

alcohol

Frequency drinks alcohol at Age 42

1=Most days in a week, 2=Once a week, 3=Infrequently, 4=Never drinks


depression

Depression score at age 42 [higher scores reflect worse psychological wellbeing]

Vote

Voted in last election

1=Yes, 0=No

The specific tasks of the coursework assignment are outlined below. Use the task numbers when writing up your answer (e.g. “1 Introduction” and “2.1 Distribution of the outcome variable”).

Specific tasks

1. Introduction to the research problem and dataset including a relevant literature review. Based on the literature you have read, explain which explanatory variables you plan to include in your model. Outline why you chose the variables you did – what is their expected association with BMI? [10 marks].

2. Descriptive statistics and bivariate associations.

2.1. Present and interpret relevant statistics and/or graphs describing the distribution of the outcome variable bmi. [5 marks]

2.2. Present and interpret relevant statistics and/or graphs describing the bivariate association between the relevant variables and the outcome variable bmi. [10 marks]

3. Linear regression analysis.

3.1. Explore using simple linear regression, whether relationship status is associated with BMI. Interpret your results. [8 marks]

3.2. Add other relevant variables to your model. Test the significance of these variables using appropriate tests and exclude those not significant. Explain why you made the choices you did. Comment on model fit. Interpret your results. [20 marks]

3.3. Explore whether there is an interaction between gender and relationship status (leave the other variables as they are in your model). Test the significance of the interaction using appropriate test(s). Comment on model fit. Interpret the interaction effect. Write down the equation of the model. [12 marks]

4. Conduct appropriate model checks and diagnostics for the interaction model you conducted in section 3.3. Interpret the results. [15 marks].

5. Summarize your results and main conclusions. There should be a link between the introduction and this section. The language should be understandable to policy makers [10 marks].

In addition, up to 10 marks will be awarded for report quality (neat, well-labelled tables and plots, clear language) and for showing imagination and initiative (e.g. critically commenting and interpreting the results or insightfully discussing the model building process).

Present your results in a written coherent report including relevant tables, figures and your written answers to the tasks. The report should be easy to understand even if read by a person, who has not been trained in statistical methods. Make sure all tables and figures are neat and clear. Give informative titles to every table and figure – the reader should be able to understand the table/figure without reading the text. Number tables and figures consecutively

(Table 1, Table 2, etc.; Figure 1, Figure 2, etc.; Appendix table 1, Appendix table 2, etc.; Appendix figure 1, Appendix figure 2, etc.). Use these numbers when referring to tables/figures in text. Do not use jargon or variable names in the text.

Additional information about coursework submission

You should submit coursework electronically via the TurnitinUK plagiarism device on Blackboard, by not later than the published date and time. Turnitin is a plagiarism detection tool which checks your work against electronic sources and other submissions for the same assignment.

Login to the Blackboard site for this module and select the Assignments link from the left- hand menu. Find the coursework and click View/Complete. There will be a series of screens to complete and then you will upload your assessment as an electronic file.

For a tutorial explaining the submission procedure in detail please go to the iSolutions website: https://elearn.soton.ac.uk/article-categories/tii-student/

When you submit an assignment through Turnitin you will receive a confirmation email containing a submission ID number, which is proof that you have submitted your work. Make sure you keep a copy of the confirmation email you receive which will act as a receipt for your electronic submission. If you do not receive a submission ID number or an email it means that you have not submitted. If this is the case you will be penalised. If you think you have submitted but do not receive this email then you should contact the module coordinator as soon as possible.

You are advised to leave plenty of time before the deadline for electronic coursework submission, delays due to computer ‘glitches’ will not be considered as justification for late submission.

Penalty for late submission

When coursework is set a due date for submission will be specified and there will be associated penalties for handing in work late unless a deadline extension has been formally granted.

Work submitted up to 5 days after the deadline will be marked as usual, including moderation or second marking, and feedback prepared and given to the student. The final agreed mark is then reduced by the factors in the following table.

University Working Days late

Mark

1

(final agreed mark) * 0.9

2

(final agreed mark) * 0.8

3

(final agreed mark) * 0.7

4

(final agreed mark) * 0.6

5

(final agreed mark) * 0.5

More than 5

Zero

For example, if your mark for the coursework is 63% but you hand in your work 3 working days late, then your final mark would be 63*0.7 = 44.1%.


Working days are Monday to Friday throughout the calendar year, including student vacation periods (but excluding University closure dates at Easter and Christmas).

Policy for overlength work

Your assignment should not exceed 3000 words (+ up to 5 pages of appendix). Your work will be overlength if you go even one word over the stipulated length or upper limit, there is no percentage leeway over the stated word length. Overlength work will be addressed through marking only that portion of work that falls within the word limit. Your mark will be based on this portion of your work only, with the result that the mark will usually be lowered.

Procedure for coursework extensions

If you know there will be a valid reason why you cannot submit the work by the given deadline you must request an extension as soon as possible. Coursework extension requests should provide adequate detail of the reasons why you are seeking an extension and be made on the ‘Special Considerations and Deadline Extension request form’ available on the Form store on the FSS Faculty Student Hub or at http://www.southampton.ac.uk/quality/assessment/special_considerations.page

Applications must be accompanied by documentary evidence e.g. self-certification of illness form or certification by a qualified doctor specifying nature of illness to include duration and impact on ability to study, letter from qualified counsellor, copy of police incident report, etc.

Your completed form should be submitted to the Student Office who will arrange for your request to be reviewed. The Student Office will contact you via your University email account to let you know once approval has been made. It is your responsibility to request an extension in a timely manner.

In cases where further extensions to the original application are requested, students should submit a new application making reference to the original.

Academic integrity and referencing

See module outline on Blackboard for more information.

Social Statistics and Demography Marking Criteria: Quantitative assessment

This marking rubric is to be used in conjunction with the University grade descriptors available here: http://www.southampton.ac.uk/quality/assessment/framework/principles_and_definitions.page#assessment_descriptors. Note that the rating given for each criterion is descriptive and does not necessarily relate in a direct numerical way to the mark achieved.

Criterion

Excellent

Very

good

Good

Competent

Acceptable

Poor

Inadequate

Technical and practical competence, including the use, collection and /or analysis

of data, and implementation of appropriate methods and/ or software (if applicable)

Knowledge and content, including the choice of a method to answer the

question/task; interpretation of the results

Organisation and communication, including the report structure, exposition,

quality of writing (if appropriate)

Presentation, including formatting, front matter, layout, graphs and tables, visual clarity

Critical analysis of the literature, data and methods, with evidence of original

thinking (as appropriate)

Citation and referencing, both within the text and in the list of references (if appropriate)

Comments and ways to improve next time: