Statistics for Public Health

his assessment addresses the following learning outcomes:

a) Critically apply the theories on key concepts in descriptive and inferential statistics

b) Analyze survey design and sampling methods to collect valid and reliable data and appraise methodologies

c) Assess the data and determine the appropriate parametric and non-parametric statistical tests, and how to control for confounding variables

d) Evaluate types of inferential statistics and interpret the results of these analyses using theoretical examples or as presented in published literature

e) Apply key concepts of statistics, including: sampling, hypothesis testing, distribution of data, validity and reliability, statistical significance and effect size

Submission Due Sunday following the end of Module 8 at 11:55pm

Weighting – 40%
Total Marks – 100 marks

Instructions:

This assessment requires you to read excerpts from four articles and answer a series of questions in no more than 1,200 words (+/- 10%).

Most public health and wider health science journals report some form of statistics. The ability to understand and extract meaning from journal articles, and the ability to critically evaluate the statistics reported in research papers are fundamental skills in public health. This type of assessment demonstrates how students can apply the skills that they learn in this course to real-world scenarios wherein they might need to interpret/review articles for public health use.

After reading published research articles, you will be asked to interpret, describe and report the following types of statistics for

o State the null and alternative hypothesis

o Detail the demographic characteristics of the people in a sample

o Report summary descriptive and inferential statistics reported in the paper

o Describe what inferential statistics were used for the analysis of data in a study and why

o Interpret the odds ratios or hazard ratios for reported outcomes

o Evaluate the impact design limitations described by the researchers have on study or the extent to which results can be generalized to the population

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!


Guide to Structuring and Writing Your Statistics Assignment


Step 1: Understand the Key Concepts

This assignment involves critical evaluation and interpretation of statistical methods used in published research articles. Here are the core components you need to focus on:

  1. Null and Alternative Hypothesis:
    • The null hypothesis (H0) typically states that there is no effect or no difference in the population.
    • The alternative hypothesis (H1) posits that there is a significant effect or difference.
    • You need to identify these hypotheses from the articles you analyze.
  2. Demographic Characteristics of the Sample:
    • This involves identifying details such as the age, gender, ethnicity, health status, etc., of the participants in the study.
    • You will use this information to understand the context of the study.
  3. Descriptive and Inferential Statistics:
    • Descriptive statistics summarize and describe the main features of the dataset (e.g., mean, median, standard deviation, range).
    • Inferential statistics help to draw conclusions from a sample and generalize them to a larger population (e.g., t-tests, ANOVA, chi-square tests).
  4. Inferential Statistics and Their Use:
    • You’ll need to explain which statistical tests were applied in the articles and why they were chosen.
    • These might include parametric tests (e.g., t-tests, regression analysis) or non-parametric tests (e.g., chi-square, Mann-Whitney U test), depending on the data.
  5. Interpretation of Odds Ratios or Hazard Ratios:
    • Odds ratios (OR) measure the odds of an outcome occurring in one group compared to another.
    • Hazard ratios (HR) assess the risk of an event happening at any given point in time between groups.
  6. Design Limitations and Generalization:
    • Assess the limitations of the study’s design (e.g., sampling issues, sample size, bias) and evaluate how these limitations impact the study’s conclusions and generalizability to the broader population.

Step 2: Break Down the Questions

For each article, you will need to answer specific questions. Below are the steps to answer these questions based on the reading of the research articles:

  1. State the Null and Alternative Hypothesis:
    • Read through the article and identify the hypotheses. These are typically stated in the introduction or methods section of the article.
    • For example, if the study is analyzing the impact of a public health intervention on smoking rates, the null hypothesis might be: “There is no difference in smoking rates before and after the intervention.” The alternative hypothesis could be: “The intervention significantly reduces smoking rates.”
  2. Detail the Demographic Characteristics of the People in the Sample:
    • Look for information in the article’s participant section. The demographic details usually include age, gender, occupation, health conditions, etc.
    • Example: “The study sample consisted of 300 participants, 50% male and 50% female, with an average age of 55 years. The majority of the participants had hypertension and were from urban areas.”
  3. Report Summary Descriptive and Inferential Statistics:
    • Descriptive statistics: Summarize key figures such as mean, median, standard deviation, or percentages.
    • Inferential statistics: Look for results of statistical tests (e.g., p-values, confidence intervals, t-test results).
    • Example: “The average age of participants was 58 years (SD = 7.2). A t-test showed a significant difference in blood pressure levels before and after the intervention (p = 0.02).”
  4. Describe What Inferential Statistics Were Used and Why:
    • Identify the statistical test(s) used, like t-tests, chi-square tests, ANOVA, or regression analysis.
    • Explain why the researchers chose these tests. For instance, if the data is normally distributed, parametric tests like a t-test would be appropriate. If the data is categorical, a chi-square test may be used.
  5. Interpret the Odds Ratios or Hazard Ratios:
    • If the study reports odds ratios (OR) or hazard ratios (HR), you need to interpret them.
    • Example: “The odds ratio for the likelihood of developing hypertension among smokers compared to non-smokers was 2.5 (95% CI: 1.3–4.5), meaning that smokers are 2.5 times more likely to develop hypertension.”
  6. Evaluate the Impact of Design Limitations:
    • Review the article’s limitations section, where the researchers typically discuss factors that might have affected the validity or reliability of the study.
    • Example: “The study’s design limitations included a small sample size and lack of randomization, which may limit the ability to generalize the findings to the broader population of older adults.”

Step 3: Organize Your 1,200-Word Response

Suggested Structure:

1. Introduction (150-200 words):

  • Briefly introduce the purpose of the assignment: to critically analyze the statistics and methodologies in the provided articles.
  • State that you will address each question in turn, focusing on statistical analysis, hypothesis testing, and design limitations.

2. Body (800-900 words):

  • State the Null and Alternative Hypothesis: Provide the null and alternative hypotheses for each study.
  • Demographic Characteristics: Summarize the demographic information of the study participants.
  • Descriptive and Inferential Statistics: Report the key statistics presented in each article and explain them.
  • Use of Inferential Statistics: Discuss which tests were used and why they were chosen.
  • Interpret Odds/Hazard Ratios: Provide an interpretation of the odds ratios or hazard ratios as reported in the articles.
  • Design Limitations: Critique the limitations mentioned in the articles and how they might affect the findings.

3. Conclusion (150-200 words):

  • Summarize the key points discussed in your analysis.
  • Reflect on the importance of understanding and applying statistics in public health research.

Step 4: Review and Edit

  • Proofreading: Check your assignment for grammar, clarity, and flow.
  • References: Ensure that you include citations from the articles and any additional sources you used. Follow the correct referencing style (e.g., APA or Harvard).
  • Word Count: Double-check that your word count is within the required range (+/- 10%).

Step 5: Submit Your Assignment

Once you’ve finalized your essay, submit it before the deadline.

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