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Conduct a Pre/Post Statistical Analysis for Your QI Project

Purpose

This assignment allows you to apply the principles of inferential statistics to evaluate the impact of your QI intervention. By using either real or simulated data, you will conduct a statistical test to determine whether your intervention has led to a meaningful change in your selected outcome measure.

This assignment aligns with AACN DNP Essentials II and III, focusing on analytical methods, systems leadership, and clinical scholarship to support evidence-based decision-making.


Instructions

1. Project Context (1 page)

  • Restate your PICOT question and provide a summary of your QI intervention.
  • Define the primary outcome measure (e.g., fall rate, infection rate, patient satisfaction, error reduction).
  • Describe the data source (real or simulated) and explain how it aligns with your project.

2. Dataset Preparation

  • Use real de-identified data from your practice site or create a simulated dataset that reflects realistic outcomes related to your intervention.
  • You may use one of the downloadable Excel templates:
    • 📥 Paired t-Test TemplateDownload 📥 Paired t-Test Template
    • 📥 Chi-Square TemplateDownload 📥 Chi-Square Template

3. Select and Conduct a Statistical Test

  • Choose a test that aligns with your data type:
    • Paired t-test → Continuous outcomes (e.g., patient satisfaction scores, time, vitals)
    • Chi-square test → Categorical outcomes (e.g., infection: yes/no, compliance: yes/no)
  • Use Excel, SPSS, or another statistical tool to calculate the p-value and interpret the findings.
  • Include:
    • Test used and why
    • Results: test statistic, degrees of freedom, p-value, confidence interval
    • Chart (optional but encouraged): e.g., bar chart or run chart illustrating the change

4. Interpret the Results

  • Discuss whether the result is statistically significant (e.g., p < 0.05).
  • Reflect on whether the result is also clinically meaningful.
  • Use your judgment to interpret what the data suggests about your QI intervention.

5. Application to Your DNP Project

  • How will this statistical analysis inform your DNP project conclusions or next steps?
  • How will you present these findings to stakeholders or leadership?
  • Will the data justify continuing, modifying, or scaling the intervention?

Deliverables

  • Submit a 3–4 page paper, not including charts/tables or references.
  • Use APA 7th edition formatting.
  • Include at least two scholarly references to support your interpretation and analysis.
  • Attach any Excel calculations or charts as appendices or embed them in your document.

💡 Tips for Success

  • Refer to Week 5 readings to support your test selection and interpretation.
  • Use the provided templates if you're unfamiliar with statistical software.
  • Ensure your interpretation includes both clinical insights and statistical accuracy—both are important at the DNP level.