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SCEDMinds · Single-Case Experimental Design — a specialized subdomain of RSMinds

Mindful AI · SCRIBE 2016 aligned · 15 single-case designs · Visual-analysis-first

Design Rigorous Single-Case Studies
From Idea to SCRIBE Protocol

Withdrawal/reversal, multiple-baseline, alternating-treatments and changing-criterion designs. A 16-section adaptive workflow — AI predicts the design, operationalizes the target behavior, structures phases, and builds your visual-analysis and effect-size plan. Built on SCRIBE 2016, with IOA and treatment-fidelity threads.

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rsminds.com/sced / workflow
01Idea & Design Subtype
03Target Behavior & DV
09Baseline Establishment
12Visual Analysis Plan
16SCRIBE Protocol
+ 11 more sections — see full workflow below
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single-case designs across 3 categories

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adaptive workflow sections — idea to SCRIBE protocol

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SCRIBE 2016 reporting items tracked live

₹0/mo

starts here · 7-day money back

How SCEDMinds works

The adaptive workflow

Each section is its own AI-assisted accordion. Outputs flow forward — your target behavior informs phase structure; baseline informs intervention; measurement informs visual analysis; everything assembles into a SCRIBE protocol. Multiple-baseline designs add a tier step; ATD adds an alternation step.

01

Idea & Design Subtype

Inputs

Research idea text

AI action

predictScedSubtype

Output

Best-fit subtype across 15 single-case designs (Withdrawal/Reversal, Baseline/Treatment, Other) with alternatives + reasoning.

Saves 30–60 min of design-selection deliberation
02

Participant & Setting

Inputs

Subtype context

AI action

generateParticipantDescription

Output

Participant pseudonym, diagnostic/relevant history, setting description, consent process, and inclusion / exclusion criteria.

Saves 1 hour and aligns with SCRIBE items 6–7
03

Target Behavior & DV

Inputs

ParticipantSubtype

AI action

operationalizeTargetBehavior

Output

Operational definition with measurement dimension, examples / non-examples, and recording procedure (SCRIBE item 8).

Saves 2 hours and sharpens the dependent variable
04

Research Question & Audit

Inputs

Target behavior

AI action

draftScedQuestion + auditResearchQuestion

Output

3 question drafts + FINER scoring (Feasibility, Interest, Novelty, Ethics, Relevance).

Saves 2–3 hours vs manual drafting
05

Theory & Framework

Inputs

Question

AI action

discoverTheories + generateFramework

Output

3 behavioral-theory candidates with citations + a conceptual framework linking intervention to mechanism.

Saves 3–5 hours of literature triangulation
06

Phase Structure & Sequence

Inputs

SubtypeFramework

AI action

generatePhaseStructure

Output

Phase labels, design notation, transition decision rules, session frequency/duration (SCRIBE items 5, 11–12).

Saves 1–2 hours and operationalizes the design
07

Tier / Alternation Config

Inputs

Phase structure

AI action

configureTiers / configureAlternation

Output

Adaptive: tier-staggering logic for multiple-baseline / multiple-probe, or alternation schedule for ATD.

Saves 1–2 hours on design-specific structure
08

Baseline Establishment

Inputs

Phase structure

AI action

generateBaselinePlan

Output

Stability definition (level + trend), minimum data points, variability threshold, reactivity controls (SCRIBE item 10).

Saves 1–2 hours and de-risks baseline logic
09

Intervention & Fidelity

Inputs

Baseline

AI action

generateInterventionProtocol

Output

Components, dosage, delivery, implementer training, fidelity measures + threshold (SCRIBE items 13–15).

Saves 2–4 hours of protocol drafting
10

Measurement System & IOA

Inputs

Intervention

AI action

generateMeasurementPlan

Output

Observation schedule, observer training, IOA method + threshold + schedule, blinding (SCRIBE items 9, 16–17).

Saves 2 hours and locks measurement rigor
11

Visual Analysis Plan

Inputs

Measurement system

AI action

generateVisualAnalysisPlan

Output

Within- and between-phase analysis: level, trend, variability, overlap, immediacy, consistency (SCRIBE item 18).

Saves 2–3 hours and pre-registers the analysis
12

Effect Size Methods

Inputs

Visual analysis plan

AI action

suggestEffectSizes

Output

Non-overlap metrics (PND, PEM, TAU-U, IRD) and standardized between-case effect sizes (SCRIBE items 19, 22).

Saves 1–2 hours and quantifies the effect
13

Validity & Social Validity

Inputs

Effect size plan

AI action

generateValidityPlan

Output

Internal-validity threats, replication type, generalization probes, maintenance, social-validity measures (items 23–24).

Saves 1–2 hours and strengthens claims
14

SCRIBE Compliance

Inputs

All sections

AI action

generateScribeChecklist

Output

A 26-item SCRIBE 2016 checklist with per-item location + deviations (items 25–26).

Saves a half-day of compliance mapping
15

Protocol / Synopsis

Inputs

All previous sections

AI action

generateScedSynopsis (streaming)

Output

A SCRIBE-compliant single-case protocol exportable as DOCX, PDF, or Markdown.

Saves a full day of synopsis drafting

Subtype coverage

15 single-case designs — all covered

From classic ABAB reversals to multiple-baseline and alternating-treatments designs. Every subtype gets its own phase-structure guidance, adaptive tier/alternation steps, and SCRIBE 2016 mapping.

Withdrawal / Reversal

4 designs
  • AB Design

    Baseline then treatment — the simplest single-case logic.

  • ABA Design

    Treatment withdrawn to demonstrate experimental control.

  • ABAB Design

    Reversal + reintroduction — strong causal inference.

  • ABC Design

    Sequential comparison of two distinct interventions.

Baseline / Treatment

6 designs
  • MB Across Behaviors

    Staggered intervention across multiple behaviors.

  • MB Across Participants

    Staggered across participants — no withdrawal needed.

  • MB Across Settings

    Staggered across settings or contexts.

  • Interrupted Time Series

    Many pre/post points around an intervention point.

  • Alternating Treatments

    Rapidly alternating conditions to compare effects.

  • Changing Criterion

    Stepwise criterion shifts demonstrate control.

Other

5 designs
  • Multiple Probe

    Intermittent probes reduce baseline measurement burden.

  • Single Stage Cluster

    Cluster-level single-case structure.

  • Single Group Interrupted

    One group, interrupted by an intervention.

  • Combined / Hybrid

    Mixes elements of two or more SCED designs.

  • Embedded Design

    Single-case logic nested in a larger study.

Compliance

Built on the single-case
standards reviewers expect

Integrated

SCRIBE 2016

Single-Case Reporting guideline In BEhavioural interventions (26 items)

Integrated

WWC SCD 4.1

What Works Clearinghouse — Single-Case Design standards

Integrated

CEC Quality

Council for Exceptional Children quality indicators

Integrated

RoBiNT

Risk of Bias in N-of-1 Trials scale

Integrated

SCED Scale

Single-Case Experimental Design methodological scale

Integrated

CONSORT EXT

CONSORT extension for N-of-1 trials (CENT 2015)

Integrated

Tau-U

Non-overlap effect size with trend correction

Integrated

PND / PEM

Percentage of Non-overlapping / Exceeding-Median Data

Integrated

IRD

Improvement Rate Difference effect size

Integrated

BC-SMD

Between-Case Standardized Mean Difference

Integrated

NAP

Non-overlap of All Pairs effect size

Integrated

LRR

Log Response Ratio for count / rate data

Integrated

PEAQ

Phase Effect Analysis Quality criteria

Integrated

EVIDAAC

Evidence-based design appraisal checklists

Integrated

APA Div 16

School-psychology single-case evidence standards

Integrated

GRADE

Grading of Recommendations Assessment

Your protocol is scored against SCRIBE 2016 in real time as you complete each section.

Why this matters

Visual analysis,
pre-registered before the data lands

Other tools

Collect data. Eyeball the graph.

If you don't define your analysis criteria up front, “it looks like it worked” becomes the standard. Reviewers ask how you judged level, trend, and immediacy — and an unstable baseline or an undefined overlap metric sinks the claim of experimental control.

SCEDMinds

Define every analytic dimension first.

SCEDMinds structures your visual-analysis plan around the six dimensions and pairs it with explicit baseline-stability criteria and a chosen effect-size method — so your analytic decisions are pre-registered, defensible, and SCRIBE-aligned before you collect a single data point.

  • Level, trend, variability, overlap, immediacy, consistency — all specified.
  • Baseline stability criteria (slope + level) set before data collection.
  • Non-overlap + standardized effect sizes chosen up front.
section 11 / visual analysis · multiple-baseline · on-task behavior

Within-phase

level · trend · variability

defined per phase

Between-phase

overlap · immediacy

Tau-U + immediacy of effect

Effect size

Tau-U + BC-SMD

pre-registered

Plans

Simple pricing

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FAQ

Frequently asked questions

Common questions from behavior analysts, supervisors, and IEC reviewers.

Which single-case designs does SCEDMinds cover?

All 15 mainstream subtypes across 3 categories — Withdrawal/Reversal (AB, ABA, ABAB, ABC); Baseline/Treatment (multiple-baseline across behaviors / participants / settings, interrupted time series, alternating treatments, changing criterion); and Other (multiple probe, single-stage cluster, single-group interrupted, combined/hybrid, embedded).

What is SCRIBE 2016?

SCRIBE (Single-Case Reporting guideline In BEhavioural interventions) is the 26-item reporting standard for single-case experimental designs. SCEDMinds maps each section to SCRIBE items and surfaces a running compliance score so your protocol is transparent and replicable.

How does the adaptive workflow handle different designs?

Multiple-baseline and multiple-probe designs add a Tier configuration step for staggering logic; alternating-treatments designs add a Treatment Alternation setup step. Withdrawal and other designs skip both. The section list re-numbers automatically so you only see what your design needs.

How does SCEDMinds handle visual analysis?

The Visual Analysis Plan section guides you through within-phase (level, trend, variability) and between-phase (overlap, immediacy of effect, consistency of data patterns) dimensions, so reviewers can verify your analytic approach before data collection.

What effect sizes does it support?

Non-overlap metrics (PND, PEM, Tau-U, IRD, NAP) and between-case standardized effect sizes (BC-SMD), with guidance on confidence intervals and meta-analytic aggregation.

Does it cover treatment fidelity and IOA?

Yes. The Intervention section captures fidelity measures, thresholds, and assessment schedule; the Measurement section captures inter-observer agreement (IOA) method, threshold, schedule, observer training, and blinding — both aligned with the relevant SCRIBE items.

Can I import an existing protocol or study idea?

Yes — paste your study idea and SCEDMinds predicts the best-fit design and seeds the workflow. You can edit every section before expert sign-off.

What export formats are supported?

DOCX, PDF, and Markdown in APA 7, Academic, or Institutional styles — title page, table of contents, numbered sections (participant, target behavior, design, procedures, measurement, analysis, SCRIBE compliance), and an Appendix with research question and theory.

Is there a free way to try it?

Design prediction (Step 1) is free with login — identify the right single-case design for your idea. The full workflow is unlocked on any access plan, with a 7-day money-back guarantee.

Start your single-case study in 5 minutes.

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