Expressive Cognition is an experimental verbal reasoning profiler designed by a researcher with an M.A. in Applied Linguistics from the University of Massachusetts Boston.
The tool draws on principles from linguistic analysis, discourse assessment, and verbal reasoning research to produce a structured profile of how a speaker organizes, compresses, and communicates complex ideas. It is not a clinical instrument — it is a serious exploration of what spoken language reveals about verbal cognition.
The assessment presents four distinct task types — abstract reasoning, explanation, analogy, and compression — each designed to elicit different verbal reasoning behaviors. Prompts are randomly selected from a curated pool, so each session is unique.
Spoken responses are transcribed and then scored independently across seven linguistic dimensions. Scores are aggregated using a weighted model that reflects which dimensions are most relevant to each task type.
Ability to operate at the level of concepts, principles, categories, and tradeoffs rather than concrete examples alone.
Lexical diversity, precision of word choice, and avoidance of repetitive or imprecise wording.
Sentence variety, embedding, subordination, and grammatical control under the demands of spontaneous speech.
Careful distinctions, exactness, meaningful use of qualifiers, and avoidance of vague or inflated language.
Ability to express dense meaning efficiently — saying more with less without sacrificing clarity.
Logical progression, structural organization, continuity of argument, and conceptual unity across the response.
Novel framing, unexpected but apt connections, and creative reasoning that goes beyond convention.
Each task type is weighted differently across the seven dimensions. For example, the compression task places heavy weight on compression and precision, while the analogy task emphasizes abstraction and originality. This ensures the final profile reflects task-appropriate performance rather than naively averaging all scores.
The multi-sample design — four tasks rather than one — enables cross-task pattern detection: identifying whether a speaker’s strengths are consistent across contexts or task-dependent. This is a key differentiator from single-prompt assessments.
Per-task scores are aggregated into global dimension scores using a weighted model. Each task contributes differently to each dimension’s global score based on its relevance. The Verbal Reasoning Index is then computed from the weighted global profile.
Confidence is reported transparently based on the number of completed samples. A single task yields low confidence; the full four-task battery yields high confidence. The index is always reported as a range, never a single number, to reflect the inherent uncertainty of experimental estimation.
Expressive Cognition is an experimental tool. It has not been validated through formal psychometric research, normed against a representative population sample, or reviewed for clinical use.
Results may be influenced by factors including familiarity with abstract discussion, language background, speaking anxiety, education, dialect, and comfort with the task format. The tool evaluates a specific language sample — not general intelligence, cognitive capacity, or professional competence.
This assessment should not be used for clinical, educational, hiring, or legal decisions.
For questions, feedback, or research inquiries, reach out at contact@expressivecognition.com