Social Communication Coding System (SCCS)

Social Communication Coding System (SCCS) is a classroom social-communication observation coding taxonomy for speech-language pathologists, school clinicians, and clinical researchers. It helps practitioners code mutually exclusive behavioral dimensions during classroom activities and review frequency, duration, proportion-of-time, and average-duration profiles.

AssessmentProgress reviewSocial communicationOutcome monitoringChildren

Open the sample classroom observation and try changing the active behavioral state.

Interested in using Social Communication Coding System (SCCS) with clients? Request access now.

Tool guide

Learn more about this tool

Use this background section to understand when the tool fits, how practitioners use it, and what to consider before sharing it with clients.

Time-In-State Coding

SCCS depends on mutually exclusive state transitions, so only one supported behavioral dimension is active at a time.

What It Captures

The tool captures classroom context, transition timeline, frequency, duration, proportion-of-time, average duration, and repeated-observation comparisons.

Relevant Limits

SCCS does not explain why behavior occurred, diagnose, or recommend interventions. Partial observations are labeled so they are not mistaken for full-window records.

Can SCCS code two behavioral dimensions at the same time?

No. SCCS uses mutually exclusive behavioral dimensions, so the coding surface allows one active state at a time.

Does SCCS measure both frequency and duration?

Yes. SCCS derives frequency and duration metrics from coded transitions, with proportion-of-time and average-duration outputs where supported.

Can I compare observations across different classroom contexts?

Yes, but context remains visible so the practitioner can judge whether the observations are comparable.

What is saved from the demo?

The SCCS tool and reusable configuration are saved. Fictional timelines, metrics, notes, and sample classroom data are not saved as real client data.