Inference Style Test
Multi-dimensional Vector Inference Questionnaire
Do you rely more on intuition or logic? Assesses your cognitive inference style across analytical thinking, intuitive thinking, open flexibility, and cognitive rigor. 25 items, about 12 minutes.
What is Cognitive Inference Style?
Cognitive inference style describes an individual's preferred ways of processing information, solving problems, and making decisions. This assessment is based on a multi-dimensional vector inference model, evaluating your cognitive processing characteristics across four dimensions:
1. Analytical Thinking: Tendency to approach problems through logical decomposition and systematic reasoning. High scorers excel at breaking down complex problems, evaluating evidence, and conducting causal analysis. 2. Intuitive Thinking: Reliance on gut feelings, sudden insights, and instinctive judgment. High scorers are adept at quickly perceiving patterns and using heuristics. 3. Open Flexibility: Adaptability to changing circumstances and openness to diverse perspectives. High scorers excel at switching between different thinking frameworks. 4. Cognitive Rigor: Thoroughness, precision, and systematic discipline in thinking. High scorers pay attention to details and persist with challenging problems.
> Non-diagnostic notice: This assessment is for personal cognitive style exploration only and is not a diagnostic tool for any psychological disorder or cognitive impairment.
Scoring Guide
Four-dimensional inference scores: Analytical Thinking (cog_01-06), Intuitive Thinking (cog_07-12), Open Flexibility (cog_13-18), Cognitive Rigor (cog_19-24) + attention check (cog_25). Raw dimension scores computed via vector-weighted summation.Result Interpretation
Finish the 25 questions and you get your results straight away — no account, no sign-up, no waiting.
We calculate your total from your answers, then give you a plain-language explanation of what the numbers mean. Whenever possible, we also show how your results compare to population norms.
详细报告 📊
Get an in-depth analysis with dimension breakdowns, population comparisons, and actionable recommendations.