Data AnalysisSmall Group Discussion

As a nurse engaged in evidence-based practice, it is important to recognize how statistics and other data analysis tools are used to generate and assess evidence. Most nurses need only a foundational understanding of statistical tools and terminology to understand the majority of research studies. As a nurse, you should be able to recognize the most commonly used statistical tests, how and when they are used, and how significance is determined.

In this Discussion, you examine different types of statistics and statistical tests, when and why these particular tests would be selected for use, and, most importantly, what the results indicate. To this end, you will be assigned to a group by Day 1 of this week. Each group will be assigned one of the five chapters listed in this weeks Learning Resources and will develop a study sheet on their chapter that will be shared with the other groups.

Review the information in your assigned chapter.

As a group, develop a 1-page study sheet that includes the following:

The key concepts of the chapter: Focus on the basic concepts that are important for nurses to understand as they review research studies.

A description of the statistical methods covered in the chapter, what they measure, and under what circumstances they are used. Identify examples of how the statistical methods have been used in research studies.

An explanation of the key statistical tests and how they measure significance (if applicable).

The most commonly used inferential statistical tests: An explanation of the key statistical tests and how they measure significance (if applicable).

t-tests

analysis of variance (ANOVA)

chi-square tests

This week, you are introduced to the process of data analysis. You examine different types of statistics and statistical tests and when they are used. You also assess how to interpret the results of statistical tests.

-For this discussion post, we will

Analyze the use of various statistical tests for analyzing data.

Assess the significance of nurses understanding statistical methods

Inferential Statistics Study Guide

Inferential Statistics, which is based on the laws of probability.

A description of the statistical methods covered in the chapter

what they measure

under what circumstances they are used

Identify examples of how the statistical methods have been used in research studies.

Sampling Distributions

Estimates of Parameters

Levels of Significance

The most commonly used inferential statistical tests: An explanation of the key statistical tests and how they measure significance (if applicable).

t-tests

analysis of variance (ANOVA)

chi-square tests

The process of testing correlations

Understanding the Basics

Discuss why it is important for nurses to understand the basics of these statistical methods.

L

Conclusion

References

Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.