RBT Section 1: Data & Graphing

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Last updated 7:14 PM on 7/8/26
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25 Terms

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continuous measurement procedures

catching every instance of a behavior: frequency, rate, duration, latency, irt

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frequency (count)

count every time a behavior occurs

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frequency is good for _______

short behaviors with clear beginnings/ends

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rate

how much behavior occurs during set time

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duration

how long a behavior lasts for

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latency

how long it takes learner to respond after a request is given

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interresponse time (IRT)

time in between two responses

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discontinuous measurement procedures

whole interval recording, partial interval recording, momentary time sampling

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whole interval recording

behavior has to happen during the whole interval

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whole interval recording is good if you want to _______ behavior

increase

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partial interval recording

record if behavior happens for any duration of the interval

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partial interval recording is good if you want to _______ behavior

decrease

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momentary time sampling

have a specific time (ex; 3pm), and see if behavior is occurring at that time

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momentary time sampling is good for ____ ________

big groups

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permanent product

physical/tangible evidence left behind by a behavior

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when measuring permanent product, make sure that…

the product is only a result of the behavior you’re recording/observing

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discrete trial training (DTT)

breaks complex multi-step skills into small individual “trials”

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entering data and updating graphs

taking discrete trial data on appropriate discrete trial sheets → writing a summary → summarizing data graphs → making monthly summaries

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operational definition (as a way to describe behavior):

must be specific, observable, have a clear beginning/end, and high IOA (80% or over)

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rate calculation

frequency / time

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mean duration calculation

total duration / number of occurrences

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percentage calculation

(correct / total opportunities) x 100

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x-axis

number / how many

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y-axis

time

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to not waste time or implement wrong procedures you must…

stay accurate and honest about your data