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Research 101

Introduction to qualitative nursing research

This type of research can reveal important information that quantitative research can’t. Takeaways: Qualitative research is valuable because it approaches a phenomenon, such as a...

Navigating statistics for successful project implementation

Don’t let lack of statistics knowledge keep you from engaging in projects to improve patient care. Takeaways Use the specific aim and/or hypothsis of your...

Nurse research and the institutional review board

Learn how the IRB process works to ensure participant safety and quality research. Takeaways: The institutional review board (IRB) process is intended to ensure study...

Research 101: Descriptive statistics

Use these tools to analyze data vital to practice-improvement projects. By Brian Conner, PhD, RN, CNE and Emily Johnson, PhD Takeaways: Nurses at every level should...

Research 101: Forest plots

Patient care decisions must be made based on the current best evidence, and nurses critically appraise many kinds of research designs and their associated...

Understanding confidence intervals helps you make better clinical decisions

PERHAPS YOU DIDN’T LEARN about the confidence interval (CI) in your formal education or you don’t hear the term in daily conversation. Confidence interval just doesn’t roll of the tongue of a staff nurse...

Differentiating statistical significance and clinical significance

To implement evidence-based practice, nurses must be able to comprehend and interpret research. That means you need to understand the distinction between statistical significance...

Differentiating research, evidence-based practice, and quality improvement

All nurses should know and understand the differences among these three concepts.

Are you confident about confidence intervals?

The confidence interval yields information on how confident researchers are about the success of a studied intervention.

Making sense of statistical power

Want to improve your ability to interpret research studies? Take a few minutes to read this overview of power analysis, probability, sample size, and related concepts.