Dyscalculia Evaluation Reference — Texas SLD

Framework & Identification Foundation

🔢 What Dyscalculia Is — and Is Not

⚠️ Schreuder TEDA 2026 — Emerging Clinical Framework

The identification framework used on this hub draws from Schreuder (TEDA 2026). It is an emerging clinical framework and is not a TEA-adopted standard. Texas does not currently have a separate eligibility category or TEA-approved determination protocol for dyscalculia. Eligibility is determined under IDEA categories by the multidisciplinary team. Use professional judgment.

✔Is a number processing deficit affecting automaticity, calculation, and foundational number sense

✔Is neurobiological in origin — present from early childhood; persistent despite adequate instruction

✔Can coexist with average or above-average intelligence; IQ is not a gate

✖Is not simply low math scores — the deficit must involve automaticity/fluency AND foundational number sense or calculation

✖Is not confirmed by low Math Problem Solving alone — applied math weakness may reflect reading, language, or reasoning demands, not core number processing

✖Is not caused by inadequate instruction, attention difficulties, or working memory weakness alone — these must be considered as alternative explanations

⚠May co-occur with dyslexia, ADHD, or DLD — each requires independent documentation of educational need

Developmental vs. acquired dyscalculia: The dyscalculia pattern on this hub refers to developmental dyscalculia — neurobiological in origin, present from early childhood, and persistent despite adequate instruction. Acquired dyscalculia refers to mathematical difficulties that emerge after brain injury or neurological trauma in a student who previously had intact math function. When records review reveals a documented neurological event (TBI, stroke, tumor, significant illness), this distinction belongs in the eligibility narrative — it does not change IDEA eligibility criteria, but it clarifies etiology and may shape intervention and medical coordination recommendations.

Source: Schreuder, TEDA 2026; Butterworth et al. (2011); Mazzocco (2007); Illinois SLDSP Dyscalculia Handbook (2026)

✅ The Three-Question Framework

Adapted from the Texas Dyslexia Handbook three-question model (Figure 4.1/5.3). All three must be addressed when dyscalculia is suspected.

Characteristics & consequences present?
• Difficulty with math fact automaticity — slow or inaccurate retrieval of basic facts under timed conditions
• Difficulty with foundational number sense — quantity, magnitude, place value, number relationships
• Procedural calculation weakness beyond what fluency alone explains
• Secondary consequences: avoidance, anxiety, slow multi-step work, difficulty with higher-order math

Underlying mechanism present?
Do these difficulties reflect a deficit in core number processing — including approximate number system (ANS), subitizing, magnitude comparison, and/or fact retrieval automaticity — rather than primarily reflecting language, reading, attention, or general cognitive demands?

Unexpected for age and ability?
Are these difficulties unexpected given the student's age, overall cognitive ability, and access to adequate, evidence-based math instruction? Is there documented lack of adequate response to math intervention?

Framework: Schreuder, TEDA 2026; adapted from Texas Dyslexia Handbook (2024)

How Dyscalculia Presents — Six Presentation Profiles

🗂️ Six Forms of Dyscalculia — Presentation Taxonomy

Dyscalculia does not look the same in every student. The six-form taxonomy (rooted in Kosc, 1974; adapted for educational practice) describes distinct presentation patterns — each with different classroom signs and instructional needs. Most students present with overlapping forms rather than a single pure type. This taxonomy is useful for connecting evaluation findings to teacher and parent descriptions, and for identifying which domains of the five-domain framework are likely to show deficits.

Form	Core Difficulty	What It Looks Like in the Classroom	Domain Map	Instructional Focus
Verbal	Comprehending math concepts explained orally; recalling spoken numbers	Trouble following verbal instructions; difficulty explaining math concepts aloud; struggles recalling spoken number sequences	Domain 4 (language-mediated reasoning); Domain 3 if magnitude concepts affected	Clear, simple language; repeat instructions; combine verbal with visual aids; check comprehension
Lexical	Reading and interpreting written math — numbers, symbols, and equations	Trouble reading numbers, symbols, and written problems despite verbal math comprehension; struggles with written representation	Domain 2 (written calculation); Domain 1 if symbol-reading slows fluency; screen for dyslexia overlap	Spaced fonts; explicit symbol instruction; color coding to distinguish operation signs
Practognostic	Applying math concepts to physical and real-world situations; manipulating objects and estimating quantities	Difficulty with measuring, estimating, handling money, or using physical manipulatives; struggles applying abstract math to concrete tasks	Domain 3 (applied number sense); Domain 4 (applied reasoning)	Hands-on activities; real-life examples (shopping, cooking); explicit estimating and measuring practice
Graphical	Writing and aligning numbers and symbols accurately; spatial organization on the page	Reverses or miswrites numbers and symbols; messy math handwriting; poor column alignment; calculation errors traceable to spatial disorganization	Domain 1 (written fluency errors); Domain 2 (alignment-driven calculation errors); screen for dysgraphia overlap	Graph paper; visual-spatial skill practice; handwriting support; spatial exercises
Operational	Memorizing and applying math procedures and operation sequences	Skips or reverses steps; inconsistent use of correct procedure; difficulty sequencing multi-step operations; forgets algorithms between sessions	Domain 1 (automaticity); Domain 2 (procedural calculation)	Step-by-step breakdown; flashcards or apps for math facts; simplify multi-step problems; explicit algorithm instruction
Ideognostic	Understanding abstract mathematical concepts and number relationships (place value, fractions, quantities)	Persistent struggles with place value, fractions, number relationships; difficulty grasping abstract math ideas even after procedural instruction	Domain 3 (number sense; foundational ANS) — the most direct indicator of core dyscalculia pattern	Visual models and concrete examples; games and puzzles reinforcing abstract concepts; avoid abstract-only instruction

Clinical note — mixed profiles: The six forms are descriptive categories, not discrete diagnostic types. A student presenting primarily with Ideognostic and Operational features likely has deficits in Domains 1, 2, and 3 — the strongest convergent dyscalculia pattern. A student presenting with primarily Verbal and Practognostic features may reflect language-mediated math difficulty or applied reasoning weakness more than a core number processing deficit. Map behavioral presentations to evaluation domains before drawing eligibility conclusions.

Psychoeducation and ARD use: This taxonomy translates the abstract concept of dyscalculia into observable classroom behaviors — well-suited for parent and teacher explanation during ARD. It bridges evaluation findings to what the team is seeing daily, and helps frame why the student's math profile looks the way it does across different settings and tasks.

Framework: Kosc, L. (1974). Developmental dyscalculia. Journal of Learning Disabilities, 7(3), 164–177. Adapted for educational practice; taxonomy shared by Westreich, E. (May 2026). Clinical descriptions synthesized for hub reference. Domain mapping by Barber Sped Hub.

Five Math Skill Domains — Evaluate Each Separately

📐 Domain Map — What to Assess and Why

A defensible dyscalculia evaluation maps data to each domain separately. A single low math composite is not sufficient — the pattern across domains determines whether a core number processing deficit is present versus a language-mediated, attentional, or reasoning-based math difficulty.

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Domain 1 — Math Fact Automaticity (Fluency)
Timed retrieval of basic addition, subtraction, multiplication, and division facts. The most direct indicator of a dyscalculia profile. Low fluency with adequate untimed calculation suggests the deficit is specifically in automatic retrieval, not procedural knowledge.

WJ-V Math Facts Fluency WIAT-IV Math Fluency (MFA/MFS/MFM) KTEA-3 Math Fluency

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Domain 2 — Computation / Calculation (Untimed)
Procedural algorithm execution without time pressure. Separates fluency deficit from procedural knowledge deficit. A student with dyscalculia typically struggles on both fluency and untimed calculation — not just timed tasks.

WJ-V Calculation WIAT-IV Numerical Operations KTEA-3 Math Computation KeyMath-3 Operations domain

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Domain 3 — Number Sense / Magnitude
Foundational understanding of quantity, magnitude comparison, place value, number relationships, and number line concepts. The approximate number system (ANS) underlies all of these. Deficits here are the most direct indicator of core dyscalculia — distinct from procedural or fluency weaknesses.

WJ-V Number Sense WJ-V Magnitude Comparison WJ-V Number Concepts cluster KeyMath-3 Basic Concepts domain Informal number line tasks

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Domain 4 — Math Reasoning / Problem Solving
Language-mediated applied math requiring reading, verbal reasoning, and multi-step planning. Low scores here alone do not indicate dyscalculia — they may reflect reading demands, language processing, or verbal reasoning weaknesses. Only confirm a dyscalculia pattern when Domains 1–3 are also involved.

WJ-V Applied Problems WIAT-IV Math Problem Solving KTEA-3 Math Concepts & Applications KeyMath-3 Applications domain

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Domain 5 — Relevant Cognitive Factors
Fluid Reasoning (Gf), Working Memory (Gwm), and Processing Speed (Gs) all contribute to math performance. Depressed scores in these areas do not rule out dyscalculia, but they require explicit consideration — a student with very low Gwm may show math automaticity deficits that are secondary to working memory load, not core number processing failure.

WISC-V WMI / PSI WISC-V FRI WJ-V Gwm / Gs / Gf clusters KABC-II Sequential / Simultaneous

Pattern rule (Schreuder framework): Dyscalculia pattern is supported when both math fact automaticity (Domain 1) AND at least one of Domains 2 or 3 are below average. Applied Problems weakness alone (Domain 4) does not constitute a dyscalculia pattern.

Source: Schreuder, TEDA 2026; Geary (2011); Butterworth et al. (2011)

Cognitive Pathway Framework — Domain-General vs. Domain-Specific

🧠 Two Pathways to Dyscalculia — The Dual-Deficit Model

Research identifies two distinct cognitive pathways that independently — and most often simultaneously — drive dyscalculia. A defensible evaluation must assess both. Identifying which pathway(s) are involved determines which interventions are appropriate and strengthens eligibility documentation. Dyscalculia is rarely a pure either/or presentation — most students show deficits in both pathways to varying degrees.

⚙️ Domain-General Pathway — "The Engine"

Deficits in brain-wide executive and processing functions that impair all complex learning — and especially bottleneck math performance. These do not cause dyscalculia on their own, but they amplify and compound core number deficits.

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Visuospatial Working Memory (Gwm/Gv) — The single strongest domain-general predictor of dyscalculia. Early learners rely heavily on visuospatial mental models before math facts are verbalized and automated. Weakness here causes number drift, column misalignment, and difficulty holding spatial quantity in mind.
WJ V measure: Visual Working Memory

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Numerical Inhibitory Control (Gs) — The ability to suppress an incorrect numerical response when a competing one is present. Frequently surfaces specifically when numerical stimuli are involved, even when general inhibition is intact.
WJ V measure: Symbol Inhibition

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Cognitive Shifting — The ability to flexibly switch between math tasks, operations, or strategies. Weakness causes students to perseverate on a procedure or get stuck when the operation changes.
Contributes to: multi-step problem breakdown, operation confusion

Classroom signature: Can't hold information, loses steps, misaligns columns, freezes during timed tasks, wrong answer "jumps in" (inhibition), or gets stuck when switching operations.

🔢 Domain-Specific Pathway — "The Tires"

Deficits in innate, core numerical abilities — the specialized "number modules" that give meaning to symbols and quantities. When these break down, the student doesn't just struggle to do math; they struggle to understand what math is.

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Symbolic Number Processing — Access Deficit (Gq) — The single best domain-specific predictor. The ability to access the meaning of a numeric symbol (that "7" represents a specific quantity) quickly and accurately. Demonstrates the highest effect size for math struggles in the research literature.
WJ V measure: Magnitude Comparison (Gq/Gs)

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Approximate Number System (ANS) — The intuitive ability to estimate and compare quantities without counting, with both speed and accuracy. Underlies number line understanding, estimation, and magnitude judgment.
WJ V measure: Number Sense (Gq)

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Number Sense (Broader) — Integrated understanding of how numbers relate to each other — place value, operational logic, and quantity relationships — without requiring precise calculation.

Classroom signature: Can't quickly judge which of two numbers is larger, struggles with estimation, misunderstands place value conceptually, and has difficulty making sense of what a math answer means in context.

⚠️ Dual-Deficit Reality: Dyscalculia is rarely purely domain-general or domain-specific. Accurate identification and targeted educational intervention must address both general executive function demands and specific symbolic number sense simultaneously. Evaluating only one pathway produces an incomplete picture and leads to interventions that address only part of the problem. (Robertson/Riverside Insights, 2026; Mazzocco, 2007)

Framework: Robertson, B. (Riverside Insights, 2026); Mazzocco, M. M. M. (2007); Butterworth et al. (2011); CHC theory — McGrew & Schneider

WJ V — Targeted Tests for the Dyscalculia Assessment Matrix

🧪 WJ V COG — Domain-General Pathway Tests

Three WJ V Cognitive Battery tests directly map to the domain-general cognitive predictors of dyscalculia. These go beyond general WMI/PSI composite scores to isolate the specific processes most implicated in math difficulty.

VWM

Visual Working Memory (Gwm/Gv) — Factorially complex; directly tests the cognitive demands of recalling and generating visual-spatial information. This is the exact predictor highlighted in dyscalculia research as the strongest domain-general marker. Low scores here — especially when verbal WM is relatively intact — strongly implicate visuospatial processing as a contributing mechanism.
Look for: VWM significantly lower than Verbal Attention or Numbers Reversed; pattern supports visuospatial-subtype dyscalculia

Symbol Inhibition (Gs) — Measures the executive functioning component of inhibitory control specifically. Tests the ability to suppress irrelevant numerical stimuli — a known vulnerability in dyscalculic profiles. Distinct from general processing speed: a student can have average Coding/Number-Pattern Matching but still show specific Symbol Inhibition weakness.
Look for: SI depressed relative to other Gs measures; particularly meaningful when paired with low math fluency

Mat

Matrices (Gf) — The primary WJ V Fluid Reasoning measure, assessing pattern completion and complex fluid reasoning without relying on numerical stimuli. This isolates general cognition from math anxiety — a student who performs well here but poorly on math tasks is demonstrating a math-specific deficit, not a general reasoning weakness.
Look for: Average+ Matrices with low math achievement = specific math deficit, not global reasoning weakness

Source: Robertson, B. (Riverside Insights, 2026); WJ V Technical Manual

🎯 WJ V ACH + VTL — Domain-Specific Pathway Tests

The WJ V Achievement Battery and Virtual Test Library (VTL) include tests that directly measure core numerical cognition — both the domain-specific deficits and the retrieval fluency gap that distinguishes dyscalculia from general math weakness.

Number Sense (Gq) — ACH — A new WJ V test measuring fundamental understanding of number relationships — the ability to compare, judge, and estimate size and quantity. Directly targets Approximate Number System (ANS) deficits. Low scores here represent the most foundational domain-specific dyscalculia marker.

Magnitude Comparison (Gq/Gs) — ACH — Directly measures the "Access Deficit" by assessing how quickly and accurately a student compares two numerical values. Captures both the symbolic processing deficit and the speed element. This is the single best domain-specific predictor in the WJ V battery.

MPI

Math Problem Identification (Gq/Gf) — ACH — Tests real-world math problem-solving by evaluating whether a student can identify why a problem is unsolvable — moving beyond rote procedural calculation to pure mathematical reasoning. Useful for distinguishing reasoning weakness from calculation deficit.

RNN

Rapid Number Naming (Gs/Gr) — VTL — Measures the speed of accessing and retrieving numerical labels from long-term memory. If a student scores low on Math Facts Fluency (ACH), RNN helps determine whether the bottleneck is lack of math knowledge or a domain-general retrieval fluency (Gr) deficit.
Note: VTL tests require WJ V Virtual Test Library access via Riverside Score platform

RQN

Rapid Quantity Naming (Gs/Gv) — VTL — Identifies the number of dots quickly, bypassing symbols entirely. Contrasting RQN with RNN isolates whether fluency difficulty is symbol-specific (access deficit) or quantity-general (ANS weakness).
Note: VTL tests require WJ V Virtual Test Library access via Riverside Score platform

VTL clinical use: If Math Facts Fluency is low, administer Rapid Number Naming and Rapid Quantity Naming to determine whether the fluency gap reflects a math-specific retrieval deficit or a broader automaticity/processing speed issue. This distinction directly informs whether the intervention should target math fact automaticity specifically or general retrieval fluency strategies.

Source: Robertson, B. (Riverside Insights, 2026); WJ V Technical Manual; Rapid naming research: Norton & Wolf (2012)

RPI — Interpreting Functional Impact for IEP Documentation

📊 Relative Proficiency Index — Moving Beyond the Standard Score

The Relative Proficiency Index (RPI) is a WJ V score that describes functional proficiency — how well a student performs on tasks where same-age peers score 90% correct. It answers a more clinically meaningful question than a standard score: not just how this student ranks, but how hard these tasks actually are for them in daily life.

RPI Range	Proficiency Label	What It Means in Practice	IEP/FIE Language Example
96/90 – 100/90	Advanced	Student finds tasks easier than typical peers	"Demonstrates advanced proficiency relative to grade-level expectations"
82/90 – 95/90	Average / Manageable	Tasks are manageable; student functions comparably to peers	"Performs these tasks with manageable difficulty, comparable to same-age peers"
68/90 – 81/90	Mildly Limited	Tasks are noticeably more difficult; student requires support	"Experiences mild difficulty with [skill]; support and accommodations are beneficial"
48/90 – 67/90	Limited / Difficult	Tasks are significantly harder; student is working considerably harder than peers for the same output	"Tasks at the grade level are significantly difficult; student expends considerably more effort for the same outcome"
24/90 – 47/90	Very Limited / Very Difficult	Tasks are very difficult; student succeeds only rarely under typical conditions	"Grade-level tasks are very difficult; student is rarely successful without significant scaffolding"
0/90 – 23/90	Negligible / Extremely Difficult	Tasks are at the frustration level; performance is negligible under typical conditions	"Grade-level tasks fall within the frustration range; participation without intensive support is negligible"

How to read it in an FIE: An RPI of 19/90 on Math Facts Fluency means: when same-age peers are successful 90% of the time on math fluency tasks, this student is successful only 19% of the time. This is not just a ranking — it describes the quality of the struggle and directly supports adverse educational impact language in the eligibility summary.

RPI vs. standard score — use both: Standard scores tell you where the student ranks. RPI tells you how hard the work actually is for them. A student with SS 76 and RPI 28/90 on Math Calculation is not just below average — they are succeeding on grade-level calculation tasks less than one-third as often as their peers. That functional reality belongs in every dyscalculia eligibility summary.

Source: WJ V Technical Manual; Robertson, B. (Riverside Insights, 2026); McGrew & Woodcock (2001)

RIOT — Convergent Evidence Framework

🔄 RIOT — Records, Interviews, Observations, Tests

RIOT is a data-collection framework widely used in SLD evaluations to ensure that eligibility conclusions rest on multiple, independent sources of converging evidence rather than test scores alone. You'll see it referenced in WJ V trainings and other national frameworks. It is conceptually identical to the C-SEP convergent evidence model you already use — different label, same principle.

📁 R — Records

Cumulative file review — grades, report cards, attendance
Prior academic benchmarks (MAP, STAAR, iStation)
Previous intervention records and progress monitoring data
Prior evaluation reports (if applicable)
Work samples showing consistent error patterns over time

Developmental red flags by grade band — for records review and teacher interviews

Compare reported difficulties against age-expected patterns when reviewing cumulative records and teacher narrative. Persistence despite adequate instruction is the key qualifier at every level.

PreK/K: difficulty counting out sets or creating subsets; can't identify or continue patterns; struggles sorting by attributes; counts in sequence but doesn't grasp cardinality
Early elementary (K–3): requires above-average repetitions to retain math facts; difficulty transcoding spoken → written numerals; lacks automaticity comparing Hindu-Arabic numerals (slower than dot-quantity comparison); can't count on/back from different starting numbers
Late elementary (3–5): still finger-counting or using tally marks beyond 3rd grade; persistent base-ten/place-value confusion; avoidance and declining motivation; difficulty with money tasks; relies on inefficient key-word strategies for word problems
Middle school: rigidity in strategy use; difficulty following multi-step procedures; can't interpret charts, graphs, or tables; struggles generalizing known formulas to novel problems; inappropriate reliance on calculator for simple computations
High school: difficulty constructing graphs or charts; budgeting and personal finance struggles; directional/navigation difficulties; many previously described patterns persist

Source: Illinois SLDSP Dyscalculia Handbook (2026), Ch. 2; Noel & Karagiannakis (2022)

💬 I — Interviews

Parent: developmental history, home math behaviors, anxiety, family history
Teacher: classroom performance, strategy use, behavior during math
Student: self-report on math experience, perceived strengths/struggles
Rating scales (e.g., mAMAS for math anxiety)

👁️ O — Observations

Classroom math block vs. other subjects — time on task, engagement, avoidance
Strategy use during testing (finger counting, tally marks, subvocalizing)
Behavioral response to timed vs. untimed conditions
Error patterns on written work samples

🧪 T — Tests

Cognitive battery (WJ V COG, WISC-V, KABC-II) — process strengths and weaknesses
Achievement battery math subtests — domain profile across fluency, calculation, reasoning
Domain-specific tests (KeyMath-3, WJ V Number Sense / Magnitude Comparison)
CBM probes (MCOMP, MCAP) — real-world performance over time
Informal probes (timed fact sheets, number line tasks, subitizing)

RIOT = C-SEP convergent evidence — same concept, different name: Whether you call it RIOT or C-SEP convergent data, the principle is identical: no single data point is sufficient. A low math fluency score alone does not establish dyscalculia. An elevated mAMAS alone does not rule it in or out. A teacher report alone is not eligibility. Defensible SLD-Math eligibility is built when Records, Interviews, Observations, and Tests all tell the same coherent story — the same convergence principle at the heart of C-SEP Step 3. When multiple independent sources align, the conclusion becomes defensible to parents, administrators, and due process.

Framework: RIOT — Hoover & Patton (2005); Robertson, B. (Riverside Insights, 2026); C-SEP parallel — Schultz & Stephens (2015/2024, TEDA)

Source note — Five-Domain Framework: The five-domain structure and pattern-identification rules on this page draw from Schreuder (TEDA 2026). The domain descriptions are also grounded in peer-reviewed math disability literature (Geary, 2011; Butterworth et al., 2011; Floyd et al., 2003). This page orients you to the framework — it is not a substitute for the TEDA training or the primary sources. Schreuder's framework is an emerging clinical approach and is not a TEA-adopted standard. Apply professional judgment in all eligibility decisions.

KeyMath-3 — Diagnostic Math Assessment

🗝️ When and Why to Use KeyMath-3

KeyMath-3 DA is the most comprehensive norm-referenced math battery available for dyscalculia evaluations. Unlike WJ-V, WIAT-IV, and KTEA-3 (which each cover math in a few subtests), KeyMath-3 maps the full scope of math skill development across 10 subtests organized into three areas.

Use KeyMath-3 when:

Math is the primary referral concern and a comprehensive picture is needed
Achievement battery math subtests are below average but the domain profile is unclear
You need to differentiate between Basic Concepts (number sense), Operations (calculation), and Applications (reasoning) deficits
Eligibility determination requires convergent data beyond one battery's math composite
Dyscalculia supplement is being generated and Domain 3 (number sense) data is absent

Untimed administration: KeyMath-3 is entirely untimed — it isolates conceptual knowledge and procedural understanding separate from fluency. Pair with a timed fluency measure (WJ-V Math Facts Fluency or WIAT-IV Math Fluency composites) to get the full dyscalculia domain picture.

Source: Connolly (2007); KeyMath-3 DA Technical Manual

📊 KeyMath-3 Structure

Three Areas — 10 Subtests:

Basic Concepts Area — maps to Domain 3 (Number Sense)
• Numeration — place value, number relationships, counting
• Algebra — patterns, functions, early algebraic reasoning
• Geometry — spatial reasoning, shapes, measurement concepts
• Measurement — standard/nonstandard units, estimation
• Data Analysis & Probability — graphs, charts, likelihood

Operations Area — maps to Domain 2 (Calculation)
• Mental Computation & Estimation — mental math strategies
• Addition & Subtraction — procedural multi-digit operations
• Multiplication & Division — procedural operations

Applications Area — maps to Domain 4 (Reasoning)
• Foundations of Problem Solving — basic applied reasoning
• Applied Problem Solving — multi-step, real-world math

Score structure: Subtests yield scaled scores (mean=10, SD=3); area scores and total yield standard scores (mean=100, SD=15). Area score splits are diagnostically meaningful — a student with Basic Concepts weakness but adequate Operations may have a number sense deficit without procedural breakdown, or vice versa.

WISC-V Cognitive Subtests Relevant to Dyscalculia

🧩 Working Memory & Processing Speed — The Cognitive Substrate

Working memory (Gwm) and processing speed (Gs) are the cognitive systems most consistently associated with math calculation and fluency difficulties. They do not cause dyscalculia, but they can independently impair math performance — and must be considered as alternative or co-occurring explanations.

WISC-V Subtest	CHC Narrow Ability	Math Relevance
Digit Span	Memory Span (MS) / Working Memory	Holding intermediate steps during multi-digit calculation; retaining place value while computing
Picture Span	Memory Span (MS)	Visual working memory; retaining spatial/quantitative information
Letter-Number Sequencing	Working Memory (MW)	Manipulating and reordering information — demands mirror multi-step math operations
Coding	Rate of Test Taking (R9) / Processing Speed	Symbol-association speed; closely analogous to math fact retrieval speed
Symbol Search	Perceptual Speed (P)	Visual scanning speed; contributes to fluency on timed math tasks
Arithmetic	Quantitative Reasoning (RQ) / Working Memory	Mental math under WM load — directly taps number processing and automaticity simultaneously; low score is highly relevant to dyscalculia profile
Figure Weights	Quantitative Reasoning (RQ)	Analogical quantity reasoning — measures number sense at a conceptual level without calculation demands

Key distinction: If WMI and PSI are both in the low range but achievement math scores are commensurate with those cognitive scores, the math difficulty may be primarily cognitive rather than a core number processing deficit. Dyscalculia is better supported when math automaticity and number sense scores are disproportionately low relative to overall cognitive ability.

Source: Geary (2011); Raghubar et al. (2010); Schreuder, TEDA 2026

🔍 Fluid Reasoning — Separating Dyscalculia from Math Reasoning Weakness

Fluid reasoning (Gf) underlies math problem solving and the ability to generalize math procedures to novel problems. Low Gf can produce low Applied Problems / Math Problem Solving scores without any core number processing deficit.

Relevant WISC-V subtests:

Matrix Reasoning — nonverbal inductive reasoning; visual pattern completion
Figure Weights — quantitative analogical reasoning; most directly math-relevant Gf subtest
Picture Concepts — categorical reasoning; conceptual abstraction

FIE application:

If FRI is below average and Math Problem Solving is the primary weakness → math reasoning difficulty consistent with general reasoning demands; does not confirm dyscalculia
If FRI is average but Math Facts Fluency and Calculation are both low → supports a specific math automaticity/calculation deficit not explained by reasoning — consistent with dyscalculia profile
If both Gf and math fluency/calculation are low → mixed profile; document both contributing factors

Arithmetic subtest (supplemental): When WISC-V Arithmetic is significantly lower than Digit Span and Letter-Number Sequencing, this suggests a specific number processing deficit on top of working memory demands — particularly useful for dyscalculia pattern documentation.

Source: Floyd et al. (2003); Schreuder, TEDA 2026

Math Anxiety — Differentiation & the mAMAS

😰 Math Anxiety vs. Dyscalculia — High Overlap, Distinct Mechanisms

Math anxiety and dyscalculia frequently co-occur and can produce nearly identical surface presentations — avoidance, slow performance, errors under time pressure, and low scores on timed tasks. Differentiating them matters for eligibility framing and intervention planning.

Dimension	Dyscalculia	Math Anxiety
Primary mechanism	Core number processing deficit — automaticity and/or number sense	Affective/cognitive interference — fear, avoidance, working memory disruption under math-specific stress
Untimed performance	Remains poor even with unlimited time and low-stakes conditions	Often improves substantially when time pressure is removed and environment feels safe
Math fact retrieval	Consistently slow and inaccurate — automaticity never develops	May know facts in low-stress contexts; blanks under pressure
Number sense / magnitude	Foundational deficits — difficulty comparing quantities, estimating, understanding place value	Number sense typically intact; conceptual understanding present when anxiety is managed
Response to low-stakes probing	Errors persist even in 1:1, low-pressure, familiar contexts	Performance often improves markedly in low-stakes 1:1 testing conditions
Self-report / behavioral	Student may not report anxiety — may report confusion, "not understanding," or "forgetting"	Student typically reports worry, racing heart, fear of being wrong; avoidance is affectively driven
Dual presentation appropriate?	Yes — dyscalculia can cause or worsen math anxiety through repeated failure experiences. Both can independently limit educational performance. Document each separately.

Sources: Carey et al. (2016); Ashcraft & Krause (2007); Schreuder, TEDA 2026

📋 mAMAS — Modified Abbreviated Math Anxiety Scale

The mAMAS (Carey et al., 2017) is a brief, validated 9-item self-report scale measuring math anxiety in children and adolescents. It is a modification of the Abbreviated Math Anxiety Scale (AMAS; Hopko et al., 2003), adapted for school-age populations. It is the most widely cited brief math anxiety measure appropriate for school-age students and can be incorporated into the FIE informal data package.

Structure:

9 items rated on a 5-point Likert scale (1 = not at all anxious → 5 = very, very anxious)
Two subscales: Learning Math Anxiety (learning situations) and Math Evaluation Anxiety (testing/performance situations)
Total score range: 9–45; higher = greater anxiety
Normed on students ages 8–18; brief administration (~5 minutes)

FIE use:

Administer as part of informal data collection when dyscalculia is suspected
Elevated mAMAS alongside low math fluency = possible dual presentation — address both in eligibility framing
Low mAMAS with persistent low math performance strengthens the dyscalculia interpretation (anxiety is not driving the deficit)
High mAMAS with adequate untimed math performance may suggest anxiety-primary presentation rather than dyscalculia

Where to find it: The mAMAS is freely available in the appendix of Carey et al. (2017), published in Frontiers in Psychology. It is not a commercial instrument — it can be printed and administered without licensing. Cite as: Carey, E., Hill, F., Devine, A., & Szücs, D. (2017). Frontiers in Psychology, 8, 11.

Source: Carey et al. (2017); Schreuder, TEDA 2026

Informal & Clinical Assessment

📋 Informal Data Sources

Math Fact Timed Probe: Present a 1-minute timed fact sheet for each operation (addition, subtraction, multiplication). Count correct facts per minute. Compare to grade-level expectations. Conduct dynamic assessment — after timing, allow unlimited time to complete; compare score to determine whether the deficit is in retrieval speed vs. procedural knowledge.

Number Line Task (informal): Ask the student to place numbers on a blank number line (0–100, then 0–1000 for older students). Significant clustering or inaccuracy in magnitude estimation is a direct indicator of number sense deficit — the most foundational dyscalculia marker.

Subitizing Probe: Flash dot arrays briefly (1–5 dots). Accurate, fast subitizing is a precursor to number sense. Difficulty subitizing beyond 2–3 dots is an early indicator of approximate number system (ANS) weakness.

Calculation Error Analysis: Analyze errors on untimed calculation tasks. Identify: procedural bugs (consistent wrong algorithm), fact retrieval errors (correct procedure, wrong fact), place value errors, and regrouping breakdowns. Error pattern informs instruction target.

CBM — Math Computation & Math Concepts/Applications: AIMSweb, DIBELS Math, or easyCBM probes provide curriculum-based evidence of math difficulty across multiple time points. Include to document intervention response history and real-world performance. Research supports both MCOMP (computation) and MCAP (concepts/applications) probes as strong predictors of math achievement — MCAP shows stronger correlations with comprehensive criterion measures (r = .654 vs. r = .528 for MCOMP; Codding et al., 2023, advance online publication). When CBM data is available, anchor formal scores to real-world performance: note how digits correct per minute on computation probes or accuracy on MCAP probes compares to grade-level benchmarks across multiple time points. This convergent pattern — low formal scores confirmed by low CBM probes — substantially strengthens the dyscalculia documentation.

Fluency vs. accuracy in CBM interpretation: A student who scores accurately on math probes but very slowly is NOT demonstrating mastery. Research (Codding & VanDerHeyden, 2020) shows that accuracy alone is an unreliable mastery indicator — students who have not achieved fluency (accuracy + rate) are likely to forget the skill. Report digits correct per minute, not just accuracy percentage, and compare to fluency-based benchmarks.

Framework: Schreuder, TEDA 2026; Geary (2011); Mazzocco (2007); Codding et al. (2023, advance online pub.)

👀 Behavioral Observations in Math Contexts

Document math-specific behaviors across settings. These observations directly support the "characteristics present" prong and inform FIE narrative framing.

Finger counting persisting beyond 2nd–3rd grade — strong indicator that fact automaticity has not developed; student is compensating with procedural counting rather than retrieved facts
Subvocalizing or mouthing during math facts — using verbal rehearsal to retrieve facts; indicates non-automatic retrieval
Avoidance and math-specific anxiety behaviors — task refusal, physical distress, or shutdown specifically during math (not other subjects) — may indicate math anxiety co-occurrence
Slow, effortful computation even on simple problems — hallmark of fluency deficit; student can solve but cannot do so automatically
Loses place in multi-step problems — may reflect working memory overload secondary to non-automatic fact retrieval
Difficulty with money, time, and measurement — applied number sense indicators; persistent difficulty here supports foundational number processing deficit
Strong verbal math vs. weak written math — if oral math responses are substantially stronger than written math, consider whether motor or written output demands are a confounding factor

Testing observation: Note whether the student uses fingers, tally marks, or other compensatory strategies during testing. These observations belong in the FIE behavioral observations section and directly support the dyscalculia pattern narrative.

Differential Considerations — What Else Looks Like Dyscalculia

⚖️ Ruling In vs. Ruling Out — Differential Profile Table

Multiple profiles can produce low math scores. The evaluator's job is to determine whether the pattern reflects a core number processing deficit or whether another mechanism better explains the data.

Profile	Math Fluency	Calculation (untimed)	Number Sense	Math Reasoning	Key differentiator
Dyscalculia	Low	Low–Below Avg	Low	Variable	Fluency + number sense deficits; does not resolve with time removal or language scaffolding
Math anxiety (primary)	Low (timed)	Often adequate untimed	Intact	Variable	Performance improves substantially in low-stakes, untimed, 1:1 conditions; mAMAS elevated
Working memory / ADHD	Low–Below Avg	Variable — more errors on multi-step	Often intact	Often below avg (multi-step)	Math difficulty is inconsistent; improves with structure, reduced load, verbal rehearsal; attention/EF measures also low. Note: Bergen et al. (2025) found ADHD and dyscalculia co-occur due to correlated genetic risks, not simple causation — each requires independent documentation of educational need even when both are present.
Language-based (DLD)	Often adequate	Often adequate	Often intact	Low (word problems)	Math reasoning weakness driven by language demands in word problems; calculation and fluency intact or near-average. EB/ML note: when evaluating emergent bilingual students, also consider home language structure — transparent number systems (e.g., Mandarin "ten-two" for 12) may produce transcoding error patterns that mimic core number processing deficits. Compare verbal and nonverbal magnitude tasks to disentangle language from number sense. (IL SLDSP, 2026)
Intellectual Disability	Low	Low	Low	Low	Global cognitive and adaptive behavior deficits; math weakness is consistent with overall ability level — not unexpected
Inadequate instruction	Low	Low	Variable	Low	Responds rapidly and meaningfully to evidence-based math instruction when fidelity is established; not truly treatment-resistant
Math-specific processing speed deficit	Low (math facts only)	Often adequate untimed	Often intact	Often adequate	Gs average on non-math tasks (Coding, SRF, SWF) but math fluency disproportionately low — deficit is specific to number-symbol automaticity, not global processing speed; supports dyscalculia-consistent profile

Documentation tip — name what you ruled out and why: In the FIE, explicitly address each alternative explanation with data. Use specific language: "Math anxiety was assessed via mAMAS and rated in the low range, making anxiety-primary presentation less likely." "Working memory scores fall in the average range, making WM load an insufficient explanation for the magnitude of math fluency deficit." "Processing speed is average on non-math tasks (Coding SS 112, Sentence Reading Fluency SS 106), indicating the math fluency deficit is specific to number processing rather than a global speed weakness." "Applied Problems weakness appears to reflect reading and language demands in word problems — Calculation (SS 95) and Math Facts Fluency are intact, indicating core number processing is not the deficit." This last pattern — reasoning low, fluency and calculation intact — is a math DNQ pattern: the data do not support dyscalculia, but may support a different eligibility area (reading comprehension, oral language, DLD). Name it explicitly.

Framework: Schreuder, TEDA 2026; Carey et al. (2016); Geary (2011); Schultz & Stephens, C-SEP (2015/2024); Bergen et al. (2025); Illinois SLDSP Dyscalculia Handbook (2026)

Recognizing the Pattern — Clinical Profile Examples

🔢 Profile A — Math-Specific Fluency Deficit (Dyscalculia-Consistent)

This profile illustrates what a dyscalculia-consistent pattern looks like in real data — specifically the math-specific processing speed pattern where Gs is average everywhere except number automaticity.

Processing speed — non-math tasks: Average
Letter-Pattern Matching SS 112, Sentence Reading Fluency SS 106, Sentence Writing Fluency SS 107 — all average to high average. Global processing speed is intact.

⚡

Math Facts Fluency: Very Low (SS 66, RPI 3/90)
Disproportionately low relative to all other processing speed indicators. This discrepancy — Gs average elsewhere, math fluency Very Low — isolates the deficit to number-symbol automaticity specifically.

➗

Calculation: Low (SS 68)
Procedural calculation weakness compounds the fluency deficit. Both automaticity and procedural execution are impaired — Domains 1 and 2 both involved.

💬

Applied Problems: Average (SS 94)
Language-mediated math reasoning is intact when language/Gc skills are strong — confirms the deficit is not language-based and not global. The math difficulty is specific to number processing.

Key interpretive move: The intact processing speed on non-math tasks is your most powerful exclusionary finding. It rules out global Gs deficit as the explanation and isolates the fluency weakness to number automaticity — the core dyscalculia mechanism. Name this contrast explicitly in the FIE. (Profile based on WJ-IV data pattern; Schultz & Stephens, C-SEP, 2015/2024)

💬 Profile B — Language-Mediated Math Reasoning Weakness (Not Dyscalculia)

This profile illustrates the most common math DNQ pattern: Applied Problems is low, but Calculation and Fluency are average or intact. The math reasoning weakness reflects language and comprehension demands — not a core number processing deficit.

✔

Calculation: Average (SS 95)
Procedural algorithm execution is intact. The student can perform math operations accurately when language demands are removed.

✔

Number Sense / Quantitative Reasoning: Average–High (SS 104)
Foundational number processing and quantitative reasoning are intact. Core number sense is not the deficit.

✖

Applied Problems / Math Problem Solving: Low (SS 74)
Language-mediated word problems are significantly below average. This task requires reading comprehension, vocabulary, and verbal reasoning — all of which are also impaired in this profile.

✖

Oral language / listening comprehension: Low
Story Recall SS 77, Oral Comprehension SS 74 — language deficits are the unifying explanation. Math reasoning is low because the word problem format depends on language comprehension.

FIE language: "Applied Problems weakness appears to reflect reading and language demands embedded in word problems rather than a core number processing deficit — Calculation (SS 95) and quantitative reasoning (SS 104) are intact, indicating number sense and procedural skills are not impaired. This pattern is consistent with the student's broader language comprehension profile and does not constitute a dyscalculia presentation." Eligibility consideration shifts to oral language and/or reading comprehension — not math calculation. (Profile based on WJ-IV data pattern; Schultz & Stephens, C-SEP, 2015/2024)

📋 Math DNQ — Writing a Defensible Non-Qualification in Math

A math DNQ is not a failure of evaluation — it is a well-documented finding that protects the integrity of special education eligibility. A defensible math DNQ requires the same rigor as a qualification: you must explicitly address every plausible explanation for the low math score and show why dyscalculia (or SLD-Math) is not the best explanation.

The three most common math DNQ patterns and how to write them:

Language explains the math reasoning weakness
Applied Problems / Math Problem Solving is low, but Calculation and Math Facts Fluency are average or intact. Write: "The student's difficulty with math word problems appears to reflect demands on reading comprehension and oral language rather than a core number processing deficit. Calculation skills are within the average range, indicating that when language demands are removed, math performance is adequate. This profile is consistent with the student's documented language comprehension weakness and does not meet the pattern expected for SLD in Math Calculation."

Cognitive ability explains the math performance level
All math scores are low, but cognitive composite is also low — math performance is commensurate with overall ability. Write: "The student's math scores are consistent with overall cognitive ability (GIA SS [X]). The math difficulty does not appear unexpected given the student's measured intellectual ability; there is no pattern of math-specific weaknesses disproportionate to overall functioning. This pattern is more consistent with ID or global cognitive needs than with a specific learning disability in math."

Instruction or response to intervention explains the gap
Math scores are low but the student responds meaningfully and rapidly to evidence-based math instruction when fidelity is established. Write: "Available MTSS data indicate that [Student] made [X] progress during [intervention name] when implemented with fidelity, suggesting the math gap reflects limited prior instructional exposure rather than a treatment-resistant learning disability. Continued progress monitoring within a structured math intervention is recommended prior to or in lieu of SLD determination in math."

DNQ does not mean no services: A math DNQ may still result in 504 accommodations, general education math intervention, or other support. The ARD committee considers the full data picture. The diagnostician's job is to document the pattern clearly and explain the most defensible interpretation — not to qualify or disqualify the student.

Framework: IDEA SLD criteria (34 C.F.R. §300.309); TAC §89.1040; Schultz & Stephens, C-SEP (2015/2024); Schreuder, TEDA 2026

Science of Math — Instructional Evidence & CBM-Math Validity

🔬 Science of Math — What the Research Says

The Science of Math (Codding, Peltier, & Campbell, 2023; VanDerHeyden & Codding, 2020) is a research-to-practice framework analogous to the Science of Reading — it advocates for grounding math instruction in cognitive science and behavior analytic research rather than unsubstantiated practices. Survey data indicate teachers continue to use unsubstantiated math practices as frequently as evidence-based ones, and fewer than 50% of teacher candidates can correctly answer basic questions about learning principles (Codding et al., 2023).

Core principles relevant to dyscalculia evaluation and ARD planning:

Conceptual understanding, procedural fluency, and fact automaticity are mutually reinforcing — not competing priorities. The National Mathematics Advisory Panel (2008) concluded that debates about their relative importance are misguided; all three must be built simultaneously.
Fluency = accuracy + rate. A student who is 100% accurate but very slow has NOT mastered the skill and is likely to forget it. True mastery requires fluency — the fast, accurate, and effortless execution of a math skill (Codding & VanDerHeyden, 2020). This distinction matters enormously for eligibility framing: a student who "gets the answers right but takes forever" is documenting a fluency deficit, not a conceptual one.
Explicit instruction for students with math difficulties has consistently strong evidence: the teacher provides clear models, the student practices extensively with feedback, and there are opportunities to think aloud and generalize (NMAP, 2008). This is the instructional need to name in ARD recommendations.
Fractions are the #1 gateway skill for algebra. NMAP (2008) identified fraction proficiency as the most critically underdeveloped foundational skill in U.S. students — directly relevant when evaluating upper-elementary and middle school students with dyscalculia profiles.

FIE/ARD application: When writing math needs statements, explicitly reference the type of instruction supported by research: explicit and systematic instruction, fluency-building practice, and concrete-representational-abstract (CRA) sequencing for conceptual targets. Naming the evidence base strengthens ARD recommendations and helps teachers act on Monday morning.

Sources: Codding, Peltier, & Campbell (2023), TEACHING Exceptional Children, 56(1), 6–11; VanDerHeyden & Codding (2020/2021), The Science of Math; National Mathematics Advisory Panel (2008), Foundations for Success, U.S. Dept. of Education

📈 CBM-Math — Validity Evidence for Screening & Evaluation

Curriculum-Based Measures in Mathematics (CBM-Math) are among the strongest tools for documenting real-world math performance across multiple time points — a key convergent data source for dyscalculia evaluations.

What the meta-analytic evidence shows:

A meta-analysis of 29 studies with 27,907 students (grades 2–8) found that both primary CBM-Math task types are strong predictors of mathematics achievement (Codding et al., 2023, advance online pub., School Psychology Review):

MCAP (Math Concepts & Applications): r = .654 — stronger predictor overall; most aligned with comprehensive math achievement outcomes
MCOMP (Math Computation): r = .528 — valid for screening; may underpredict for assessments with high language demands
Overall CBM-Math: average correlation r = .584 with criterion measures — in the strong-to-very-strong range for an educational screening tool
Middle school students showed stronger CBM-math correlations than elementary students — particularly useful for upper-grade dyscalculia evaluations
Concurrent administration (within 1 month of criterion) yields stronger correlations than predictive data across longer intervals

For dyscalculia evaluations: MCAP probes are particularly valuable because they tap applied number sense — most directly relevant to Domain 3 (Number Sense) and Domain 4 (Math Reasoning) in the five-domain framework. MCOMP probes document computation fluency in an ecologically valid, repeated-measure format. Include both when available. Note: MCOMP may underestimate math skill for students whose primary deficit is language-mediated reasoning rather than computation.

Using CBM as convergent data in FIE: When CBM-Math data is available from MTSS/intervention records, explicitly anchor formal score findings to real-world performance: "Math fluency scores in the Low range were consistent with curriculum-based measures showing [X] digits correct/minute, below the [grade] benchmark across [number] data points."

Source: Codding, R. S., Nelson, G., Kiss, A. J., Shin, J., Goodridge, A., & Hwang, J. (2023, advance online publication). A meta-analysis of the relations between curriculum-based measures in mathematics and criterion measures. School Psychology Review, 54(3), 275–290. https://doi.org/10.1080/2372966X.2023.2224055 (Advance online publication 2023)

Learning Ropes Connection — Where Dyscalculia Lives in the Model

🪢 Math Rope — Dyscalculia Strand Map

Dyscalculia maps primarily to the Number Sense and Fact Fluency strands of the Math Rope — but the visuospatial dimension of Number Sense and the domain-general cognitive predictors require dedicated attention in battery planning. The Math Rope now explicitly distinguishes a Visuospatial Number Processing strand as the primary domain-general dyscalculia predictor.

🔢 NUMBER SENSE STRAND — VISUOSPATIAL DIMENSION

Number Sense is not just symbolic (Gq) — it has a visuospatial dimension (Gv/Gwm). Number line understanding, place value as spatial position, magnitude as distance, and column alignment all require visuospatial working memory. WJ-V Visual Working Memory is the single strongest domain-general dyscalculia predictor in the research literature (Robertson, Riverside Insights, 2026; Mazzocco, 2007). Weakness here drives column misalignment, number drift, place value confusion, and number line placement errors that look like careless mistakes.

⚡ FACT FLUENCY STRAND — AUTOMATICITY PARALLEL

Fact Fluency is the math parallel to Reading Fluency — when math facts are not automatic, working memory is consumed by calculation that should be instant, leaving insufficient capacity for multi-step reasoning. Low fact fluency with intact conceptual understanding is a core dyscalculia marker: the deficit is in automaticity (Gs/Glr), not understanding. A student who can derive 7×8 through repeated addition but cannot retrieve it instantly has a fluency deficit, not a concept deficit.

⚙️ DOMAIN-GENERAL VS. DOMAIN-SPECIFIC — BOTH PATHWAYS IN THE ROPE

Domain-general pathway (cognitive "engine"): Visuospatial working memory (Gv/Gwm) → number line, place value, column alignment. Numerical inhibitory control (Gs/Symbol Inhibition) → suppressing wrong answers when competing numbers are present. Cognitive shifting → perseveration on wrong operation.

Domain-specific pathway (number "tires"): Symbolic number processing / Access Deficit (Gq/Gs) → highest effect size, best single predictor. Approximate Number System (ANS) → estimation, magnitude judgment, number line intuition. Number Sense (Gq, broader) → place value, operational logic, quantity relationships.

Critical clinical point: Dyscalculia is rarely purely one pathway. Assessment must address both. Evaluating only one produces an incomplete picture and leads to interventions that address only part of the problem.

⚠️ WHAT BELONGS IN BATTERY PLANNING

WJ-V Visual Working Memory (Gwm/Gv) — primary domain-general predictor; add to battery when number sense or visuospatial math errors are present.
WJ-V Symbol Inhibition (Gs) — numerical inhibitory control; look for this specifically, not just general processing speed.
WJ-V Matrices (Gf) — isolates fluid reasoning without numerical stimuli; average+ with low math = math-specific deficit, not general reasoning weakness.
WJ-V Number Sense + Magnitude Comparison (Gq) — domain-specific pathway measures; both new in WJ-V and directly target ANS and Access Deficit.
Math Problem Solving low scores alone are insufficient — applied math weakness may reflect reading, language, or reasoning demands. Confirm with fluency and number sense measures before concluding a core number processing deficit.

→ View the full Learning Ropes page ↗ for the complete Math Rope strand model with the visuospatial dimension callout, Gv CHC tag, Fact Fluency automaticity parallel, and the dyscalculia two-pathway callout box.

🤠

Texas Policy — Dyscalculia & SLD-Math Calculation / Math Problem Solving

Texas does not have a separate dyscalculia eligibility category. Students are identified under SLD — Math Calculation and/or SLD — Math Problem Solving under TAC §89.1040 and IDEA 2004. The term "dyscalculia" may be used in evaluation reports, eligibility documents, and IEP paperwork — this is explicitly permitted under the OSERS Dear Colleague Letter (October 23, 2015), which clarified that nothing in IDEA prohibits the use of the terms dyslexia, dysgraphia, and dyscalculia in these documents. Using the term does not create a separate eligibility category; it names the pattern of need within the SLD framework.

HB 3928 (88th Leg., 2023) addressed dyslexia and dysgraphia specifically; dyscalculia was not named in the statute. However, the same underlying principle applies — the OSERS DCL permits naming dyscalculia, and TEA has not issued guidance prohibiting it. The ARD committee retains authority to name the specific learning disability pattern in evaluation documents.

Eligibility determination: SLD in Math Calculation is appropriate when the pattern reflects automaticity and/or procedural calculation deficits. SLD in Math Problem Solving is appropriate when applied math reasoning is the primary area of adverse educational impact. Both may be identified simultaneously when the data support both areas. The multidisciplinary team — not the diagnostician alone — makes this determination, with the diagnostician providing the evaluation data and pattern analysis that informs the ARD committee's decision.

Schreuder framework caveat: The five-domain convergent pattern framework used on this hub (Schreuder, TEDA 2026) is a clinical organizational tool. It is not an official TEA-adopted protocol. Eligibility decisions must be grounded in the IDEA SLD criteria, the student's educational need, exclusionary factors, and the preponderance of data — not in a single framework's pattern threshold.

Sources: TAC §89.1040; IDEA 2004 §614; OSERS Dear Colleague Letter (October 23, 2015); HB 3928 FAQ (TEA, 2023); TEA Guidance for the Comprehensive Evaluation of SLD (January 2025); Schreuder, TEDA 2026

Dyscalculia Reference

Texas Policy — Dyscalculia & SLD-Math Calculation / Math Problem Solving