Looking to level up your statistical analytics skills for research? This practical webinar will help you master the concepts and tools needed to analyze data with confidence.
Led by Dr. Jacob Wickham, an experienced journal editor and academic trainer, this webinar covers both foundational knowledge and advanced best practices tailored specifically for researchers.
What you will learn:
- Understanding data types and distributions: An introduction to qualitative and quantitative data, as well as key visualization methods such as histograms, box plots, and scatter plots
- Developing a statistical procedure: A step-by-step guide to statistical analysis, covering how to check for normality, establish hypotheses, set significance levels, and calculate p-values
- Crafting effective research questions: Advanced tips for developing clear research questions using the PICOT/PECOT framework
- Avoiding errors in analysis: Strategies to reduce common statistical errors, such as biases or overreliance on p-values, and tips to avoid them
- Exploring tools and apps for statistics: Recommendations on essential statistical tools for research, such as RStudio and MATLAB.