Learn Research Methodology, Then Practice with AI
Tutorial library written by Risos AI's methodology team. From basic statistical tests to doctoral-level phenomenology — all with concrete examples ready to apply.
Popular tutorials
Starting from what students search most. Every tutorial ready to practice in Risos AI.
ANOVA Test for Thesis
Step-by-step running ANOVA — from data preparation, assumptions, to Tukey post-hoc interpretation.
Multiple Linear Regression
Why multiple regression? Data preparation, classical assumption tests, and interpretation of B vs Beta coefficients.
Questionnaire Validity & Reliability
Pearson, CFA validity tests, and Cronbach Alpha reliability. For valid thesis questionnaires.
Qualitative Analysis Guide
Thematic, phenomenology, grounded theory — when to use what? Qualitative methodology selection guide.
How to Build Research Codebook
5-field codebook: code, definition, when to use, example, exclusion. Avoid weaknesses examiners often criticize.
Thesis Chapter 4: Complete Guide
Ideal Chapter IV structure — data description, hypothesis testing, interpretation, and discussion. APA 7 format.
Tips to Pass Thesis Defense
Pre-defense preparation, common questions, and how to answer without panic.
Classical Assumptions Full Guide
Normality, multicollinearity, heteroscedasticity, autocorrelation. How to check and act if violated.
Read Then Practice — All in One Platform
Every tutorial ready to practice in Risos AI. Learn and do your research in the same place.