
Clinician guide
How to Compare PND, PEM, and NAP Results
Compare PND, PEM, and NAP on the same phase data by preserving each reference rule, tie treatment, numerator, denominator, raw values, and interpretation limits.
Clinical guides, tools, and evidence-informed resources for thoughtful, high-quality ABA care.

Clinician guide
Compare PND, PEM, and NAP on the same phase data by preserving each reference rule, tie treatment, numerator, denominator, raw values, and interpretation limits.

Clinician guide
Handle ties in single-case nonoverlap metrics with predeclared PND, PEM, and NAP rules, explicit tied counts, small-sample checks, and reproducible formulas.

Clinician guide
Calculate nonoverlap of all pairs by scoring every baseline-intervention pair as improvement, deterioration, or tie, with direction, raw counts, and limits.

Clinician guide
Calculate percentage of nonoverlapping data from a baseline extreme and valid intervention values, with direction, tie handling, raw counts, and trend limits.

Clinician guide
Calculate percentage exceeding the median from baseline and intervention values, with improvement direction, strict tie rule, raw counts, trend, and metric limits.

Clinician guide
Construct a split-middle trend line from ordered phase data, declared half rules, median time and value points, vertical adjustment, projection, and limitations.

Clinician guide
Calculate within-phase median level by sorting valid observations, handling odd and even phase sizes, preserving raw values, and integrating visual analysis.

Clinician guide
Report inconclusive ABC probability results with session-level cells, conflicting patterns, small denominators, missing contexts, descriptive limits, and next steps.

Clinician guide
Measure descriptive assessment sampling coverage with a predeclared routine-by-time frame, observed and valid cells, concentrated missingness, and scope limits.

Clinician guide
Audit ABC event sequence agreement by separating anchor matches from code agreement, defining time tolerance, preserving unmatched events, and reviewing errors.

Clinician guide
Calculate precursor-target conditional probability in ABA with two directions, fixed windows, false-positive precursors, raw counts, safety limits, and review gates.

Clinician guide
Analyze compound antecedents in ABC data with component codes, mutually exclusive exposure cells, response probabilities, overlap checks, and contextual limits.