
Clinician guide
How to Measure Representative Coverage in Descriptive Assessment
Measure descriptive assessment sampling coverage with a predeclared routine-by-time frame, observed and valid cells, concentrated missingness, and scope limits.
Clinical guides, tools, and evidence-informed resources for thoughtful, high-quality ABA care.

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.

Clinician guide
Calculate lag-specific ABC probability with nonoverlapping time bins, valid response anchors, raw event counts, truncated windows, timing precision, and limits.

Clinician guide
Avoid reverse conditional probability errors in ABC data by labeling event direction, preserving denominators, calculating each fraction, and checking raw cells.

Clinician guide
Calculate antecedent-given-response conditional probability from valid response anchors, a fixed look-back window, raw cells, background rates, and coverage rules.

Clinician guide
Calculate an ABC contingency difference from compatible response and nonresponse cells, raw denominators, fixed windows, missing states, and noncausal limits.

Clinician guide
Calculate consequence-given-no-response probability with a defined complement, valid nonresponse units, fixed sequence windows, raw cells, and coverage limits.

Clinician guide
Audit descriptive ABC data by reconciling planned, observed, valid, response, sequence, missing, and excluded units before recalculating clinical-review evidence.

Clinician guide
Compare ABC data across settings with separate conditional and background probabilities, matched definitions, raw exposure, coverage, timing, and contextual limits.

Clinician guide
Handle multiple events in one ABC observation window with separate or compound codes, priority rules, marginal percentages, raw sequences, and review limits.