The purpose of this formative assessment is to help you conduct and interpret a chi-square statistical analysis using a real healthcare dataset. You will develop a research question, test a null hypothesis, and evaluate

Formative Assessment: Conducting a Chi-Square Analysis Using jamovi

The purpose of this formative assessment is to help you conduct and interpret a chi-square statistical analysis using a real healthcare dataset. You will develop a research question, test a null hypothesis, and evaluate both the statistical and clinical significance of your findings. These skills are essential for interpreting research results and for planning and evaluating healthcare change projects.

Required Tools and Dataset

Statistical Software

·        jamovi (free statistical software)Download jamovi from the official websiteLinks to an external site.

Guided Resources

·        Stats Made Easy: jamovi Step-by-Step GuidesAccess the jamovi step-by-step guidesLinks to an external site.

·        jamovi YouTube ChannelWatch instructional videos on the jamovi YouTube channelLinks to an external site.

Dataset

·        Heart Failure Clinical Data (Kaggle dataset)Access the Heart Failure Clinical Data dataset on KaggleLinks to an external site.

Instructions

Step 1: Dataset Review and Variable Selection

·        Review the description of the variables in the Heart Failure Clinical Data dataset.

·        Select two categorical variables with levels of measurement appropriate for a chi-square analysis.

Step 2: Title Page

·        Use APA format.

·        The title of your paper should clearly reflect the two variables being tested.

Step 3: Dataset Description (Methods Equivalent)

In the first paragraph of the paper:

·        Do not label this section as “Introduction.”

·        The title of the paper should be repeated at the top of the page.

Describe:

·        The source of the dataset

·        The general purpose of the dataset

·        The number of subjects

·        The number of variables

·        The general types of variables included

Cite the dataset. For this assignment, this section serves as the equivalent of a sampling plan in a published research study and represents how you are “collecting data.”

Step 4: Research Question and Hypotheses

1.     Write a research question that includes:

·        A population

·        Two variables appropriate for chi-square analysis

2.     Identify:

·        The independent variable (IV)

·        The dependent variable (DV)

3.     Write:

·        A null hypothesis

·        An alternative hypothesis

Your hypotheses should include the population, IV, DV, the descriptive statistic being tested, and the relationship being examined.

Step 5: Rationale for Chi-Square

Describe:

·        Why the chi-square test is appropriate for your research question

·        The assumptions of the chi-square test

·        How the level of measurement and number of groups support its use

Step 6: Descriptive Statistics

Use a Level 1 heading: Results

1.     Using jamovi, calculate the appropriate descriptive statistics for each variable.

2.     Copy and paste the table of descriptive statistics into your paper.

3.     Generate a graph that appropriately illustrates the descriptive statistics for both variables.

·        If the y-axis does not extend from the lowest possible value to the highest possible value, describe what the correct range should be.

·        Explain why the selected y-axis range is important for accurately illustrating the data.

4.     Interpret the descriptive statistics:

·        Describe trends or differences in frequencies or percentages.

·        Discuss whether the observed differences appear clinically meaningful.

·        Consider feasibility, cost, time, and patient impact when evaluating clinical relevance.

Step 7: Inferential Statistics

1.     Continue the Results section by copying and pasting the chi-square inferential results table from jamovi.

2.     Report the:

·        Chi-square statistic

·        p-value

·        Alpha level (0.05)

3.     Based on the chi-square results, determine the decision regarding the null hypothesis:

·        If p < 0.05, reject the null hypothesis.

·        If p > 0.05, fail to reject the null hypothesis.

4.     Interpret what this decision means in relation to your research question.

5.     Report and interpret:

·        Effect size

·        Confidence interval (CI)

·        Odds ratio (OR)

Explain how these values contribute to understanding the clinical significance of the results and whether the clinical significance aligns with the statistical significance.

Step 8: References

Include a reference list that contains:

·        Sources supporting healthcare practice and policy decisions (published within the last 5 years)

·        Sources supporting statistical concepts (published within the last 10 years)

Submission Format

·        Word Document 

Rubric

Formative Rubric (4)