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Comprehensive Test of Nonverbal Intelligence, 2nd Ed.

Enter C-TONI 2 composite and subtest scores to generate an evidence-based nonverbal intelligence narrative with 95% CIs, Pictorial vs. Geometric discrepancy analysis, cross-process comparisons (Analogies, Categories, Sequences), and targeted recommendations.

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Entirely Nonverbal & Motor-Free: The C-TONI 2 (Hammill, Pearson & Wiederholt, 2009) measures nonverbal intelligence across 6 subtests using only a pointing response — no reading, writing, speaking, or complex motor execution. Separates Pictorial (meaningful/real-world) from Geometric (abstract/novel) nonverbal reasoning. Critical for fair assessment of D/HH students, ELL students, those with motor impairments, or anyone for whom language-based cognitive tests are invalid or biased. Ages 6–89.
Student / Examinee Information
Overall Nonverbal Intelligence At least one composite score required
Standard Score scale: Mean = 100, SD = 15 (typical range 40–160). Classification: Very Superior (131+), Superior (121–130), Above Average (111–120), Average (90–110), Below Average (80–89), Poor (70–79), Very Poor (≤69).
Global Composite
Nonverbal Intelligence Quotient
NIQ — All 6 subtests · Ages 6–89
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Composite Scores: Pictorial & Geometric (standard scores, recommended)
Standard Score scale: Mean = 100, SD = 15. The PNIQ uses meaningful/pictorial stimuli (real objects); the GNIQ uses abstract/geometric stimuli (novel shapes). The PNIQ–GNIQ discrepancy is the C-TONI 2's signature diagnostic feature.
Pictorial · Composite
Pictorial Nonverbal IQ
PNIQ — PA + PC + PS subtests
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Geometric · Composite
Geometric Nonverbal IQ
GNIQ — GA + GC + GS subtests
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Subtest Scaled Scores (scaled scores, optional)
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Scaled Score scale: Mean = 10, SD = 3 (range 1–19). Enter individual subtest scaled scores if obtained.
Pictorial Subtests → PNIQ (Real-World Objects)
Pictorial Analogies (PA)
Completing visual analogies using pictures of real objects — A:B::C:? pattern with meaningful stimuli
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Pictorial Categories (PC)
Identifying relationships & category membership among pictures of real objects — classification reasoning
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Pictorial Sequences (PS)
Predicting the next item in a series of pictures of real objects — sequential pattern detection
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Geometric Subtests → GNIQ (Abstract Shapes)
Geometric Analogies (GA)
Completing visual analogies using abstract geometric shapes — A:B::C:? pattern with novel stimuli
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Geometric Categories (GC)
Identifying relationships & category membership among abstract geometric shapes — abstract classification
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Geometric Sequences (GS)
Predicting the next item in a series of abstract geometric shapes — abstract sequential reasoning
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