Processes of Quantitative Data Analysis. Small Group Discussion
Data Analysis—Small 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 week’s Learning Resources and will develop a study sheet on their chapter that will be shared with the other groups.
To prepare: YOU ARE ASSIGNED CHAPTER 19
Review the information in your assigned chapter.
As a group, develop a 1-page study sheet that includes the following: about chapter 19 pages 426 to 439 Processes of Quantitative Data Analysis from book
FROM THE BOOK
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.
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 chapter 19 only, what they measure, and under what circumstances they are used. Identify examples of how the statistical methods have been used in research studies. Discuss why it is important for nurses to understand the basics of these statistical methods. An explanation of the key statistical tests and how they measure significance (if applicable).
Note: This should be a collaborative effort, with each member of the group making contributions to the design and content of the study sheet. Use the Groups link on the left navigation bar to collaborate with your group. When you have developed your 1-page study sheet, select one member to post it to the Week 9 Discussion Forum so that the rest of your colleagues can access it.
Discuss why it is important for nurses to understand the basics of these statistical methods.
Note: This should be a collaborative effort, with each member of the group making contributions to the design and content of the study sheet. Use the Groups link on the left navigation bar to collaborate with your group. When you have developed your 1-page study sheet, select one member to post it to the Week 9 Discussion Forum so that the rest of your colleagues can access it.
Data Analysis
Author Name
Institution Affiliation
Statistics is the collection, interpretation, presentation, and analysis of data. It helps solve various scientific problems and allows scientists or researchers to structure and organize data in a systematic way (Guerrero, 2010). There are different types of statistical tests, such as Correlational, Chi-Square, ANOVA, Simple Regression, Wilcoxon Rank-Sum Test and Sign Test.
In the correlational test, one has to look for the association between two or more variables. It is done to determine the strengths and weaknesses of the continuous or ordinal variables. Chi-square test is done to evaluate data for its strength of association between two or more categorical variables. Here one has to look for the difference between the mean and median of those variables. ANOVA helps determine the difference between the means of two or more groups once their variance is accounted for in the final variable. In simple regression, the researcher has to take into account a single linear r...