
Clinician guide
How to Randomize a Phase Start in an AB Single-Case Design
Randomize an AB intervention start by defining allowable change points, minimum phases, the prospective draw, delivered schedule, analysis, and design limits.
Clinical guides, tools, and evidence-informed resources for thoughtful, high-quality ABA care.

Clinician guide
Randomize an AB intervention start by defining allowable change points, minimum phases, the prospective draw, delivered schedule, analysis, and design limits.

Clinician guide
Report a valid randomization p value with level, trend, variability, immediacy, overlap, consistency, magnitude, client priorities, and design limits.

Clinician guide
Audit single-case randomization software by checking design, assignment set, statistic, tail, ties, missing data, enumeration, draws, seed, version, and inputs.

Clinician guide
Report exact and Monte Carlo single-case randomization results with assignment counts, draw count, seed, finite-sample correction, uncertainty, and software version.

Clinician guide
Separate random treatment assignment from random participant sampling in a single-case study and report causal, population, recruitment, and generalization limits.

Clinician guide
Choose a single-case randomization statistic for level, trend, immediacy, overlap, variability, or consistency before assignment and preserve its rationale.

Clinician guide
Interpret a single-case randomization test with few assignments by reporting the minimum attainable p value, power limit, exact fraction, design, and useful effects.

Clinician guide
Handle tied single-case randomization statistics with a predeclared inclusive tail rule, transparent counts, exact fractions, and labeled sensitivity results.

Clinician guide
Calculate an exact single-case randomization p value by scoring every permissible assignment, applying a declared tail rule, and reporting discrete resolution.

Clinician guide
Define permissible single-case assignments before a study by recording clinical constraints, candidate schedules, probabilities, the random draw, and exclusions.

Clinician guide
Learn the design prerequisite, assignment set, statistic, exact p value, visual-analysis role, and inference limits for a single-case randomization test.

Clinician guide
Learn how to report single-case metrics without universal cutoffs using formula versions, phase sizes, raw values, uncertainty, design evidence, and priorities.