Section 3.315 min read

Pre-Course Diagnostic Test

Core summary

This diagnostic test measures your current knowledge across 7 domains: research terminology, study design recognition, statistics interpretation, literature search, ethics, tool familiarity, and AI safety. Your score establishes a baseline — not a grade. You will retake the same test at Level 16 to measure how far you have come.

Detailed explanation

Before you begin the main curriculum, it is important to know where you stand. This pre-course diagnostic test is not a pass/fail exam — it is a compass that shows your starting point. The test contains 50 questions across 7 domains. You are not expected to know most of the answers. In fact, if you score high, it means you may be able to skip some early levels. If you score low, it simply confirms that this app is exactly what you need. The 7 domains tested are: Research Terminology (basic vocabulary), Study Design Recognition (identifying study types), Statistics Interpretation (reading statistical results), Literature Search Knowledge (database and search strategy skills), Ethics Awareness (research ethics principles), Tool Familiarity (knowing which tools exist), and AI Safety Awareness (understanding responsible AI use in research). After completing the test, you will see a radar chart showing your score in each domain. The app will use these results to personalize recommendations — suggesting which levels to focus on and which you might skip. At Level 16, you will take the exact same 50 questions again as a post-course assessment. Comparing your pre and post scores gives you objective evidence of your growth. Many users see dramatic improvements, especially in statistics interpretation and tool familiarity. Take the test honestly. Do not guess or look up answers — the value of this test depends on it reflecting your true current knowledge.

Clinical example

Think of this diagnostic like a baseline blood test. You check your labs before starting treatment so you can measure improvement later. A low baseline is not a failure — it is the starting point of a journey.

Research example

Pre-test/post-test designs are one of the simplest and most common study designs in educational research. By taking the same test before and after the curriculum, you are participating in your own educational experiment.

Knowledge check

Q1. What is the PURPOSE of the pre-course diagnostic test?

Q2. How many domains does the diagnostic test cover?

Q3. A low score on the diagnostic test means you should not continue the course.