Understanding Metrics

Metrics generated from the SCC have both a clinical and mathematical underpinning that enable practitioners to understand their data most effectively. 

From a clinical perspective, metrics can help practitioners with analysis, decision making, and evaluation.

  1. Analysis: What did my performer accomplish?
    • Metrics tell the magnitude of what the performer has accomplished, either in their current intervention or in comparison to their previous intervention.
  2. Decision making: What should I do for my performer going forward?
    • Set rules or parameters to metrics to make decisions on how to progress in the intervention.
    • Parameters are typically not universally-defined and are practitioner, performer, or program-specific.
  3. Evaluation: How is my performer doing overall?
    • Enables users to evaluate the progression of the intervention over time as a function of the metrics.
    • Provides an evaluation of the program’s effectiveness.
    • This evaluation is usually the result of comparing multiple metrics over time, not one metric in particular.

From a mathematical perspective, metrics help us understand not only the direction and magnitude of growth, but also over what period of time that direction and magnitude of growth occurred.

The direction of growth is represented in each metric by the Precision Teaching symbol assigned to it, which indicates whether the behavior is growing or decaying.

Direction of Growth Precision Teaching Symbol Meaning


X Greater than 0% growth in a behavior.
Down ÷ More than 0% decay in a behavior (i.e. decline).

The magnitude of change is represented by the numerical value of the metric. A higher value represents a larger magnitude of growth, and vice versa. For example, a celeration of x2 represents a larger magnitude of growth (100% growth) than a celeration of x1.25 (25% growth).

The time of growth is relevant to time-based metrics, such as celeration and improvement index. For these metrics, the time of growth depends on the recurrence of the chart for which users are charting the data (e.g. daily, weekly, monthly, or yearly charts).

Recurrence Time Element of Growth Rate
Daily Per Week
Weekly Per Month
Monthly Per 6 months
Yearly Per 5 years

For example, a celeration of x1.25 on a daily chart represents 25% growth per week.

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