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Seeking Significance: Applied Data Analysis for Nursing Education Researchers
Designing and conducting a quantitatively-focused nursing education research studies involves considerations beyond which statistical test is most appropriate or how many subjects are needed to find effects or relationships that are statistically significant.
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Title :
Seeking Significance: Applied Data Analysis for Nursing Education Researchers
Designing and conducting a quantitatively-focused nursing education research studies involves considerations beyond which statistical test is most appropriate or how many subjects are needed to find effects or relationships that are statistically significant. This workshop will provide attendees with in-depth coverage of quantitative topics including:
- Conceiving of a quantitatively-focused research study
- Key measurement considerations
- Electronic data collection strategies
- Strategies for data cleaning and transformation
- Descriptive and basic inferential statistical analysis
- Considerations for effectively disseminating quantitative findings
Attendees are encouraged to bring their research ideas, partial or complete research datasets, or finalized data analyses to the workshop for consultation and discussion. The primary software used will be SPSS® v. 23 or above, but data in other formats (e.g., MS Excel®, Stata ®, etc.) are welcome as well.
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Speaker/s
Darrell Spurlock, Jr. PhD, RN, NEA-BC, ANEF
Darrell is an Associate Professor of Nursing and Director of the Leadership Center for Nursing Education Research at Widener University in Chester, PA. As a nurse-academic psychologist, Dr. Spurlock has published and presented widely on educational research, measurement, statistical analysis, and evidence-based practice (EBP) topics. Dr. Spurlock is a frequent workshop presenter and research methods/statistical consultant. He currently serves as the Journal of Nursing Education Methodology Corner Editor.
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