Test Methodology

Data Collection via Likert Scales

Our platform primarily utilizes multi-point Likert scales, allowing users to express nuanced degrees of agreement. This statistical gradient prevents forced-choice errors and produces more accurate personality vectors.

Factor Analysis & Reverse Scoring

We deploy robust algorithmic reverse-scoring to detect and mitigate acquiescence bias (the tendency to agree with all statements). Responses are mapped to multi-dimensional vectors corresponding to the test's psychological framework (e.g., the five dimensions of the OCEAN model).

Normative Comparisons

Your raw scores are translated into statistical percentiles by comparing your vectors against massive, anonymized datasets. This allows us to provide clinical-grade feedback on where you stand relative to the general population.