RC Level 2
Advanced SPSS & Bibliometric Analysis
Learn to pick the right statistical test, interpret it correctly and report it well. Then map a research field with bibliometric analysis.
Sample figures for illustration
Statistics you actually understand
Go from running tests to knowing which test, why, and what the result means.
Choose the right test
Match every question to the correct statistical test.
Run it in SPSS
Advanced, hands-on analysis on clinical research data.
Interpret & report
Explain results correctly and report them the way journals expect.
Bibliometrics
Analyze publication and citation data to map a field.
The tests clinical research runs on
Every commonly used test, and when each one is the right choice.
Know your data
Compare proportions
Test differences
Model associations
Think like a statistician
The reasoning that separates a correct analysis from a rejected one.
Statistical reasoning
Understand what a test is really asking of your data.
Study design
See how design shapes the analysis: cross-sectional, cohort and trial data.
Choosing the test
Decide based on outcome type, groups and assumptions.
Interpreting results
Read SPSS output with confidence, beyond the p-value.
Reporting
Write results the way reviewers and journals expect.
Avoiding common errors
Spot the analytical mistakes that get papers rejected.
Map a field of research
Analyze publication and citation data to see where a field is heading, and who is leading it.
- Research trends over time
- Influential authors and institutions
- Collaboration networks
- Publication and citation patterns
Be first in line
Dates for the next Level 2 cohort will be announced soon. Join the waitlist and we'll email you the moment registration opens.
Good questions
Do I need to take Level 1 first?
Level 2 builds on the foundations taught in Level 1. If you are not sure whether you are ready, message us on WhatsApp and we will help you decide.
Is this just about running tests in SPSS?
No. The course goes beyond clicking buttons, building a real understanding of statistical reasoning, study design, interpretation and common analytical errors.
Which statistical tests are covered?
Descriptive statistics, tests of normality, chi-square and Fisher's exact tests, independent and paired t-tests, one-way ANOVA, Mann–Whitney U, Wilcoxon signed-rank, Kruskal–Wallis, Pearson and Spearman correlation, and linear and multivariable regression.
What is bibliometric analysis?
The analysis of publication and citation data to evaluate research trends, influential authors and institutions, and collaboration networks.
How is it delivered?
Live on Zoom, with guided, hands-on training and Q&A throughout.
How much does it cost, and when is it?
The workshop fee is $75. Dates for the next cohort will be announced soon, so join the waitlist to hear first.