Plagiarism and Collusion Constitute Serious Academic Misconduct - Management Assignment Help

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Assignment Task:

Task:

 

Ethical Behaviour


Plagiarism and collusion constitute serious academic misconduct. They are forms of cheating and carry severe penalties including cancellation of marks for an assignment, cancellation of marks for a unit, or even exclusion from the course.


Be conscious that the data you will be analysing is (anonymised) data from real high school students. Please be respectful.
 

Extensions


If you need an extension please complete the assignment extension form under the TOOLS section of the site. Please don't request an extension the day your assignment is due – you should apply at least three days prior to the due date.
 

Special Consideration


If you experience difficult circumstances please let me know as soon as possible so that I can discuss special consideration and any supports you may need. Special consideration is there to support students experiencing difficulties – so please use it if needed and don't wait until it is too late (apply at least 3 days prior to the due date if at all possible please). A link to the application is also under TOOLS.
 

 

Purpose

 


Epidemiology seeks to identify patterns of health and risk/protective factors for health in populations. Biostatistics provides the basis to analyse and interpret quantitative data to achieve these goals, and, in particular, to quantify the uncertainty that arises from inferring results from samples to populations. 

 

The purpose of this assignment is to apply biostatistical methods and principles to a dataset to demonstrate you can:
 

  •  Describe fundamental biostatistical concepts
  •  Identify, select and apply appropriate biostatistical tests based on characteristics of the data and the research question 
  •  Interpret the output of biostatistical tests
  •  Use statistical software programs to conduct biostatistical analysis of data


 

 

Dataset


The data for this assignment is a modified dataset from the Youth Risk Behavior Surveillance System (YRBS) from the Centers for Disease Control and Prevention in the United States. This is an epidemiological surveillance system designed to monitor the prevalence of youth behaviours that most influence health. The YRBS is a repeat cross-sectional survey that uses a representative sample of high school students (public, private, and Catholic schools) from years 9 to 12. The dataset provided contains all of the information needed to complete the analysis for the assignment. You are not required to find additional references. The assignment is based on all content in this unit, but the focus is on the last half of the unit. You should use the topic guides, lecture recordings, computer practical materials, prescribed readings, and any additional resources provided to assist with your assignment. The data files are provided below.


 

Assignment Questions


Obesity and Weight Management among High School Students (70 marks total)


You are working as a Health Promotion Officer for a State government and have been approached by the State school board who want to understand the issue of obesity and weight management in High School students. They ask you to undertake some exploratory analysis to provide the basis for further research and program development. You have access to a large dataset based on a recent survey of students with questions related to the issue of obesity and weight management. 

 

Using the dataset provided, answer the following questions using SPSS (10 marks per question):   

 

  1. Did student weight change from 2001 to 2017? (check distribution of weight, but for the purpose of the assignment, assume it is normally distributed)
     
  2. Did the student's perception of weight change between 20012009, and 2017?
     
  3. Did body mass index (BMI) change between 2001, to 2009, and 2017? (check distribution of BMI, but assume normally distributed)

 

[Please answer the following four questions using data from the 2017 cohort only ]

 

  1. Are height and weight correlated? (assume normal distributions)
     
  2. Is there a difference in the percentage of males and the percentage of females attempting to lose weight?
     
  3. Is there an association between physical activity and BMI? Answer this question using a method that could also allow you to take confounding factors into account (this comment is just to help you choose the right method - you don't need to actually adjust for confounding factors to answer this question).
     
  4. Does water consumption predict being overweight ("overweight" here includes both overweight and obesity)? Answer this question using a method that could also allow you to take confounding factors into account (this comment is just to help you choose the right method - you don't need to actually adjust for confounding factors to answer this question).

     

Please note: For this assignment, you are only required to answer these 7 questions (i.e. no introductory section or closing discussion required). Also, please be aware that this dataset has been modified for this assignment, so your findings may not reflect the results of data analysis using the actual dataset. 

 

Format



For each question, the following is required:


a) What test/analysis did you select? Why was it appropriate? (2 marks)
 

  • Think about the purpose of the test and how this matches the question; and
  • What the requirements and assumptions of the test are (including the variable type or level of measurement).

     

b) Which variables did you select? Where relevant, which is the study factor, and which is the outcome factor? (1 mark)

 

c) Describe any data manipulation. Did you recode any variables? Did you select cases? Did you need to create new variables? Explain what you did and why. (2 marks)

 

d) Provide the results of the analysis. (2 marks)
 

  • Include the output of the tests you run including relevant tables, figures, or graphs. Provide these following the rules for displaying data (i.e. appropriate elements included; enough information but not too much; the right information). 

     

e) Interpret the results. (3 marks)
 

  • Summarise the results, noting if a difference or association was found, the direction of the difference or association, and whether it was statistically significant. You should report p-values and confidence intervals correctly, to the most appropriate number of decimal places (see lecture notes for examples of how to present values of statistical tests as well as referring to the unit ebook (Cronk 2018)). Please also comment on the practical importance of the findings (and what considerations you have taken into account in commenting on this). Remember that statistical significance doesn't necessarily mean public health importance.

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