Does caffeine cause cancer? Is autism caused by childhood immunizations? What is the relationship between eating sugary sweets at night and weight gain? It is often helpful to determine and explore relationships between variables. This is especially important in health care, a field dedicated to providing quality care for patients and improving health outcomes. Examining relationships between variables forms the basis for correlational statistics.
In this Discussion, you identify a health care or nursing practice problem that can be explored with correlational statistics and formulate a research question for exploring that problem. You also develop a null and alternate hypothesis, determine the variables related to the study, and predict relationships between the variables based on what you know of correlational statistics.
To prepare:
Post a cohesive response that addresses the following:
IMPLEMENT SOMETHING FROM THESE REQUIRED READINGS:
Gray, J.R., Grove, S.K., & Sutherland, S. (2017)
. Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.
- Chapter 23, “Using Statistics to Examine Relationships”Chapter 23 explains how to use statistics to examine relationships between groups using correlational analyses, scatter diagrams, Spearman rank-order correlation coefficient, and Kendall’s tau.
Statistics and Data Analysis for Nursing Research
- Chapter 4, “Bivariate Description: Crosstabulation, Risk Indexes, and Correlation” (pp. 59–61 and 68–78)This chapter describes components of bivariate descriptive statistics, including crosstabulation, risk indexes, and correlation. The chapter also discusses the concepts of absolute risk, relative risk, odds ratio, and correlation matrices.
- Chapter 9, “Correlation and Simple Regression” (pp. 197–209)This portion of Chapter 9 continues the discussion of inferential statistics and explores correlation and simple linear regression.
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