Data Collection Flashcards

1
Q

Count/frequency

A
  • a simple tally mark

- number of occurrences

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2
Q

Rate

A

combo of count/frequency and observation time
- count every instance
- specify observation time period
use when: behaviors with a clear start and finish
low to mid rates of behavior

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3
Q

Duration

A

amount of time a behavior occurs: onset to the end of the response
good for behaviors that occur for an extended amount of time and with very high rates
duration per occurence, or total duration

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4
Q

Latency

A

measure of time between the onset of a stimuli and a response

  • how long does it take for the response after the stimulus
  • good for time from instruction and child response
  • does not measure the actual behavior
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5
Q

Partial Interval Recording

A

when you take a period of time and break it into smaller intervals

  • smaller the interval the more accurate
  • score if the behavior occurred at any time during the interval
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6
Q

Momentary Time Sampling

A

period of time broken into smaller intervals

- score if target behavior occurred the moment the interval ends

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7
Q

Whole Interval Recording

A

period of time broken into smaller intervals

  • score only if behavior occurs for the entire interval
  • no frequency count required
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8
Q

Task Analysis Data

A

good for social behaviors or daily living skills
skills broken down into smaller parts
Data is collected on each step

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9
Q

Permanent Product

A
  • measuring outcome of behavior after it has occurred

- observing effects behavior produced in the environment

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10
Q

Trial-by-Trial

A
  • discrete trials
  • score after ever trial
  • response can be classified as -,+, P, etc.
  • convert to percentage: correct trials over all trials
  • determines if targets are mastered
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11
Q

First Trial Data

A
  • Only take data on first trial

- per target

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12
Q

Estimation Data

A
  • Hallmark of APF Method
  • Estimation should include percentage or number of correct responses, frequency, duration
  • subjective
  • should be used in conjunction with “hard” data
    (some days you take hard data, some days you take estimation)
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13
Q

Preparing for graphing

A

Ensuring accurate data

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14
Q

Ensuring

A

reliability: you and another agree on data
validity: theres actually a behavior changed
staff trained on measurement systems
Avoid Observer Drift
Avoid Student Reactivity
Taking Interobserver Reliability
Taking Treatment Fidelity Data

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15
Q

Preparing for Data Collection

A
  • know the operational definition
  • know collection procedures
  • trained
  • know collection for each goal
  • have recording materials ready in working order
  • have data sheet ready
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16
Q

Graphing

A

basics:

  • input data into graphing program
  • clearly label conditions on top of graphs
  • data should be grey scale
17
Q

Understanding Graphs

A
  • Two or more interventions should be represented by different symbols
  • Label Symbols with legend or arrow and text
  • Scaling should be consistent across graphs
  • Multiple graphs: sessions only on the bottom, condition labels on the top, numbers on the bottom panel
18
Q

What to Look for in a Graph

A
  • making predictions on the behavior
19
Q

Once it is Graphed

A
  • Supervisor should evaluate changes
  • Will suggest how to proceed
  • Informs Mastery and Movement