Read the paper Chen, X., Xu, Q., Lin, H., Zhu, J., Chen, Y., Zhao, Q., ... & Wang, N. (2021). Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China. BMC Public Health, 21(1), 1-8..Critically appraise of the statistical material in this paper against items 10, 12-17 of the STROBE checklist. Present your review as a 400-600 word (approx.) report.
- Only review the provided paper Chen et al, 2021. Do not read any other papers.
- Restrict your review to how well Chen et al, 2021 have documented their statistical methods – that is, items 10, 12-17 of STROBE only. You may not have to address every item; just describe the major strengths and weaknesses of the authors’ descriptions of their statistical methods and results.
- For each important STROBE item:
o state whether you believe the STROBE item is met or not,
o support your judgment with proof or examples from the paper, and
o describe why this inclusion or exclusion is important / how it will impact on the reader’s understanding and decision making.
- The 400-600 words is a guideline not a rule. There are no penalties for exceeding this guideline.
- There are no marks for adding a reference list. Referencing is optional.
Using R Commander and the data set from the sample of full-time workers in Sydney assigned to you, address the following research question Describe the association between SF36 mental health score (variable ‘mh’) and the effect of lockdown on working hours (variable ‘work_impact’) after correcting for age (variable ‘age’) in the population of full-time workers in Sydney. You should address this question using linear regression with associated descriptive analyses, hypothesis tests and confidence intervals.To answer this question, you need to use R Commander and the data set assigned to you for assignments.
This data set contains the (fictitious) data from a random sample of full-time workers in Sydney and is the same data set as that you have previously used in Assignments 1 and 2. See ‘Description of your data set.docx’ for the descriptions of the variables.
Note: This assignment is assessing your skills, not the skills of the computer. You will need to include graphs from R Commander into your assignment but all other R Commander output will attract 0 marks and is discouraged. It is your task to identify the relevant results in the R Commander output and write these up in your assignment.
- You should only use the variables ‘mh’, ‘work_impact’ and ‘age’ (there is no need for log or other transformations).
- Correcting for ‘age’ is just including ‘age’ in the regression model. When age is in the model all other variables are corrected for it.
- Documenting your analysis plan is recommended but not required. (If your analysis report is complete then your plan must have been complete also.)
- Do report the results of your descriptive analyses
o Well labelled graphs can be copied from R Commander
o Summary statistics and tables should be manually typed
o Summarise the main findings of your descriptive analyses in words and describe how these findings inform your expectations and interpretation of the more complex models.
Do report the results of your statistical inference and/or regression models
o Any fitted regression models should be manually typed and described in the text.
o Any hypothesis tests should contain all relevant information (use the 5 step method to be sure)
o Any confidence intervals should be manually typed and described in the text.
o Summarise the main findings of your regression model and statistical inference in one or two paragraphs.
Do remember to answer the research question
o Write a final paragraph which summarises the key findings of your analysis and your answers to the research question.
- Do check the Learning Guide for the marking criteria
- Do write your answers yourself and keep them private.