When to use
- Measure how quickly a student responds to prompts or instructions
- Assess compliance speed, not just compliance success
- Track task initiation, transitions, or attention responsiveness
- Separate response accuracy (can they?) from response speed (how fast?)
- Best for discrete prompts with observable responses and clear timing boundaries
Setup
- Choose Latency from the method picker
- Define the prompt and response operationally (e.g., “prompt = teacher says ‘open your book’; response = book open to correct page”)
- Add an optional definition to align observers on trial structure
- Optional: enable activity context to see whether latency varies by setting
Keyboard shortcuts
Understanding latency in clinical context
Latency data distinguish between two different concerns:- Can the student perform the behavior? (Accuracy question): answered by whether the behavior occurs eventually
- How quickly do they perform it? (Speed question): answered by latency data
- Task initiation: time from direction to begin work until pencil touches paper
- Compliance: time from instruction to initiation of compliance behavior
- Transition speed: time from dismissal until student begins the next activity
- Attention responsiveness: time from “look at me” or name-call until student orients to the speaker
- Response-to-name: time from hearing name until head turn or eye contact
Recording trials in Sightline
During recording, each trial appears as a timed episode. Sightline measures the time between when you start the timer and when you stop it. To record a trial:1
Wait for the prompt to occur
(teacher gives direction, says student’s name, etc.)
2
Press Enter
to start the latency timer
3
Watch the student's response
4
Press the number key
(1, 2, 3…) for the behavior that occurred, which stops the timer and records the trial
5
Mark no response
If the student never responds, press N to mark the trial as no response
Reading the results
A latency session produces:- Mean latency: average time across responded trials (no-response trials are counted separately and excluded from the mean, median, and range)
- Median latency: the middle value, less skewed by outlier trials than the mean
- Range: shortest and longest latencies observed
- Trial count: number of trials, with no-response trials counted alongside
- Session duration: total observation time
Common mistakes to avoid
Measuring the wrong thing
Measuring the wrong thing
Clearly define what counts as the start of the response interval. Does task initiation mean pencil touches paper, or pencil touches paper and student begins writing? “Student opens book to page X” is clear; “student begins task” is vague. Pin this down in setup — the clearer your definition, the more consistent your timing.
Inconsistent trial identification
Inconsistent trial identification
If you’re inconsistent about when you start the timer (sometimes at the instruction, sometimes after the student has already begun), your data will be noisy. Use a clear, repeatable cue.
Missing early trials
Missing early trials
If the student has already initiated a response before you start timing (because you weren’t ready), don’t record a trial. Report only the trials you actually measured.
Counting teacher wait time
Counting teacher wait time
If a teacher pauses before repeating an instruction because a student is processing, don’t count that pause as latency. Latency should measure student response time, not teacher wait time.
Insufficient sample
Insufficient sample
A mean based on 3 trials is unstable, and latencies vary day-to-day with time of day, fatigue, and medication. Collect at least 5–8 opportunities per session (8–10+ when possible) and ideally 2–3 sessions before concluding that latency is or isn’t a problem; record at a consistent time, or note when conditions vary.
Artificial prompts
Artificial prompts
Don’t use prompts invented for the observation. Use naturally occurring classroom instructions and transitions.
Numbers without narration
Numbers without narration
Latency data alone don’t explain why the student is slow. Describe what the student is doing during the latency period (organizing materials, looking around, appearing confused, etc.).
Latency paired with compliance data
Latency is most meaningful when paired with compliance data:- Compliance percentage: what proportion of prompts did the student ultimately follow? (accuracy)
- Latency: how quickly did they respond? (speed)
Establishing baseline expectations
Latency data are meaningless without a benchmark. Establish one by:- Observing a same-age peer using identical prompt-response definitions: compare target latencies to peer latencies
- Consulting classroom norms: ask the teacher “How long should it typically take a student to start work after you say ‘open your book’?”
- Using published guidelines: some interventions specify latency expectations (example: 5 seconds for name-response in young children is typical)
Worked example. “Noah’s mean latency to begin work after a direction was 74 seconds across 7 opportunities, compared to a mean of 6 seconds for a comparison peer observed during the same lesson. Noah ultimately began the task on every opportunity; the difference was in how quickly he started, not whether he complied.”
Example: using latency for intervention planning
A student exhibits the following pattern across 3 baseline sessions:
Baseline average: 65 seconds vs. peer 7 seconds (9:1 discrepancy)
The intervention implements a visual timer, verbal countdown, and immediate praise for initiating within 15 seconds:
Latency is decreasing consistently toward the peer baseline, suggesting the intervention is effective. This feedback guides the teacher’s next decision: continue, intensify, or modify.
For turning these figures into report-ready sentences, see Writing Up Observation Results. For choosing between methods, see Observation Methods.