- What is TestInvite?
- Build Your First Test
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Effects
Effects tag individual answer choices with a named score that tallies up separately from the test's point total — the mechanism behind personality- or trait-style profiling rather than pass/fail scoring.
An Effect is a named score attached to a specific answer choice — on Multiple Choice questions, to an individual choice; on Match questions, to an individual pairing. Whenever a candidate selects that choice, the effect's points are added to a running total for that name, tracked completely independently of the test's point score and of dimensions.
Why a Third, Independent Line
The point pipeline (page/section/test) measures correctness, and dimensions measure competency — both are about how well a candidate performed. Effects measure something else: which choices a candidate leaned toward, regardless of whether those choices were "correct." This is what makes Effects suited to personality, behavioral, or preference-style assessments, where there's no right answer, only a tendency to tally — for example, tagging one MCQ option Leadership: +2 and another Collaboration: +2 on the same question, with no positive or negative multiplier scoring involved at all.
Adding Effects to a Choice
In the choice/option editor, add one or more effects, each with a name and a point value. A choice can carry several effects at once. Effect names can be typed freely, or picked from an existing Effect Definition Bank so the same name (e.g. Leadership) is spelled identically everywhere it's used — the same reuse mechanism Definition Banks provide for other vocabularies.
How Effects Are Tallied
Across the whole test, every selected choice's effects are grouped by name and summed — a candidate who repeatedly picks options tagged Leadership ends up with a high Leadership total, independent of whether those questions were scored right or wrong. These per-name totals are available in session results and exports alongside (but separately from) the point score and any dimension scores.
Effects don't require a positive or negative multiplier to be meaningful — a question can be pure profiling (no right answer, only effects) or combine both: score it normally for correctness and tag choices with effects for a secondary behavioral read.