Interpreting statistical significance in nursing research
Improper interpretation of statistical analysis can lead to abuse or misuse of results. We draw valid interpretations when data meet fundamental assumptions and when…
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…
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…
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…
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…
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…
Interpreting statistical significance in nursing research
Improper interpretation of statistical analysis can lead to abuse or misuse of results. We draw valid interpretations when data meet fundamental assumptions…
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,…
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…
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…
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…
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…
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…
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…
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…
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