Take our quick assessment to identify your strengths and explore areas for improvement.

1. Select a module to begin your assessment:

3. Begin Self-Assessment

For each statement select the button that best describes you. When you are finished, select submit to explore the skills best suited to you.

Strongly Unlike Me
Unlike Me
Like Me
Strongly Like Me
1. I understand what independent, dependent, and confounding variables are in the context of research experiments.
2. I can identify the types of measurable variables and understand how this influences decisions regarding statistical analysis.
3. I can identify the difference between correlation and causality.
4. I can describe the concepts of reliability, validity, and generalisability and understand how they relate to interpretation of quantitative data.
5. I am familiar with ways of presenting data in numerical and graphic forms.
6. I can easily distinguish one measure of central tendency from another.
7. I can understand the role that measures of dispersion play in a data set.
8. I know what data distributions are and can identify normal, skewed, and bimodal distributions.
9. I can critically interpret values and understand Type I and Type II errors.
10. I know the assumptions required for parametric statistics and how to determine if my data meets these assumptions.
11. I can identify various nonparametric statistics and know when they would be appropriate to use.
12. I know about publication bias and the importance of reproducibility of quantitative findings.

Thank you for completing the self-assessment.

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Confidence Level
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