What statistical technique is commonly used to identify relationships between a dependent variable and one or more independent variables in healthcare research?

Correct Answer

B. Regression analysis

Explanation

Regression analysis is a statistical technique used to identify relationships between a dependent variable and one or more independent variables. In healthcare research, this method helps researchers determine how various factors (e.g., age, treatment type, lifestyle) influence health outcomes, allowing for better predictions and understanding of healthcare phenomena. This is particularly valuable when assessing the impact of multiple factors on patient health outcomes, treatment effectiveness, or disease progression.

Why other options are wrong

A. ANOVA

ANOVA (Analysis of Variance) is used to compare the means of three or more groups to determine if there are any statistically significant differences. It is not used to identify relationships between dependent and independent variables, which is the primary function of regression analysis.

C. Descriptive statistics

Descriptive statistics are used to summarize and describe the characteristics of a dataset, such as averages, medians, and ranges. While useful for understanding the data, it does not identify relationships between variables like regression analysis does.

D. Chi-square test

The Chi-square test is used to determine if there is a significant association between two categorical variables, but it does not identify relationships between dependent and independent variables in the same way regression analysis does, which can also handle continuous variables.