ABA Lesson 13&14&15 Flashcards

1
Q

Task Analysis (Les 13)

A

Breaking a skill down into a sequence of smaller, more manageable components or steps.

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2
Q

Chaining?

A

A teaching procedure in which reinforcement is given for completing the steps in a task analysis.
e.g. reinforcement is edible or iPad time or something like access to toys or an activity, usually there’s no problem.
- the problem occurs, when the reinforcement is social.

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3
Q

Types of Chaining?

A

1) Forward Chaining - learner completes steps in a chain, beginning with the first step. Reinforcement is given after the required number of steps is completed in sequence.
2) Backward Chaining - learner completes steps in a chain, beginning with the last step. Reinforcement is given after the required number of steps is completed in sequence.
3) Total Task Chaining

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4
Q

Forward Chaining?

A

A teaching process in which the learner is reinforced for completing the first step in a task analysis, then for combining the first and second steps, and so on until responsibility for the entire chain is required.
- Steps in the earlier part of the chain are easier. So if the most difficult steps are at the end of the task analysis, you may want to use forward chaining because it allows you to establish behavioral momentum.

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5
Q

Backward Chaining?

A

A teaching process in which the learner is reinforced for completing the last step in a task analysis, then for combining the last two steps, and so on until responsibility for the entire chain is required.
- Steps in the later part of the chain are easier. It’s also really useful for learners for whom total task completion or the resulting final product is highly reinforcing, such as cooking.

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6
Q

Total Task Chaining?

A

A teaching process in which the learner is reinforced for completing every step in a task analysis, and prompts are faded at each step as the skill is acquired.
- when the steps are about equal in difficulty throughout the chain and if you have a learner who is likely to be compliant and to maintain attention throughout the whole task.

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7
Q

Behavioral momentum

A

Using a series of high-probability requests to increase compliance with low-probability requests.
- It is the idea that we can sometimes see higher rates of behavior when we start by asking someone to complete simple, easy-to-do tasks and building momentum before asking someone to compelte a task that they are less likely to complete regularly.

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8
Q

Clinical Scientist Model (Les 14)

A

The practice of using a scientific approach to delivering clinical services.
- If a researcher wants to know whether a particular treatment will work for a particular group of people, she will collect data before the intervention begins and throughout the course of the intervention, and then follow up data once the intervention has been stopped.

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9
Q

Evidence Based Practice

A

The integration of best available research with clinical expertise while taking into account client characteristics.

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10
Q

Pseudoscience

A

Treatments that are presented as if they have a scientific basis, but have not or cannot be supported scientifically.

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11
Q

Continuous vs Discontinuous data types

A

Continuous data involves capturing every possible instance of a behavior within a given time frame. There are various types of continuous data, including frequency (counting the number of times a behavior occurs), rate (frequency per unit of time), duration (measuring the length of time the behavior occurs), latency (measuring the time from a stimulus to the occurrence of the behavior), and inter-response time (measuring the time it takes to complete a response).
Discontinuous data involves capturing a sample of behavior within a given time frame. The discontinuous data types are partial interval recording (recording whether the behavior occurred at any point during short intervals), whole interval recording (recording whether the behavior occurred throughout entire intervals), momentary time sampling (recording whether the behavior occurred at specific moments within intervals), and planned activity checks (recording whether the behavior occurred during designated activities).

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12
Q

What are the data collection methods in ABA?

A

1) Frequency and Rate - involve counting the number of times a behavior occurs in a specific time period. We use it, when the behavior can be easily counted; and the behavior has a clear beginning and end. Don’t use behavior that occurs at high rate to which an accurate count is impossible or if the behavior occurs for extended period of time. The measure should be used only when the length of observation time is consistent from day to day.
2) Inter Response Time - the time elapsing between two successive responses (response - interval - response). e.g. Excessive cell phone texting behavior - measure the length of time between one text message and response, and another.
3) Latency Recording - use when you are interested in how long a person takes to respond once the opportunity has been presented (how long the behavior lasts).
4) Intervals of time - the direct service provider (or teacher) divides the observation period. e.g. 1 hours subdivided into smaller intervals (periods of time), recording whether the behavior occurs in some interval, such as twirling a pencil (yes/no).
5) Partial interval method - use when behavior occurs at high frequency or if the behavior occurs continuously.
6) Whole interval recording - requires the client to engage in the target behavior for the whole interval (such as 5 min interval). e.g. give the child a credit for practice only if they played piano for entire 5 min
7) Percentage - involves counting the number of opportunities you give a person to perform some skill and then calculate the % of corrent and incorrect responses. It’s useful for recording how often the behavior occured when given the opportunity. Only use this method when the behavior is easily observed and the opportunities are not high in frequency.
8) Time sampling - a variation of interval recording, specifically small intervals of time; e.g. 30 sec are set up within larger time intervals, such as 10 min, usually at the beginning or end; don’t use for low freq. behavior.
9) Permanent Product - selecting a product or a result that indicates the occurance of the target behavior and the response is recorded; a supplemental form of data collection.
10) Antecedent behavior consequency (ABC) assessment - the method involves recording the circumstances related to a problem behavior, e.g. throwing items (antecedent even that preceded the behavior and the consequency of event). It’s used to assist with Functional Assessment Observation, the possible reason the behavior may be occuring.
11) Scatterplot recording - another interval recording method used during Functional Assessment to identify the time of day that the problem behavior occurs. Recording whether the behavior occured or not during the interval of schedule. e.g. the behavior occurs from 6 to 6:30 period.

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13
Q

Reliability

A

The degree to which data is replicable.

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14
Q

Interobserver Agreement (IOA)

A

the kind of reliability that describes the percent agreement between data collected simultaneously by two independent observers recording the same observation.
In other words, two people looking exactly the same situation with exactly the same information at exactly the same time collecting exactly the same data.

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15
Q

The minimum standard for reliability in ABA is ___ number?

A

It is 0.80. However, your behavior analysts may set the bar higher. There is nothing wrong with setting the bar higher, but we certainly cannot set it lower.

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16
Q

Ways to calculate Interobserver Agreement (IOA)

A

IOA is expressed as a calculated percent agreement between two observers.
They are: Calculating IOA for Counted Data, Calculating IOA for Discontinuous Data, Calculating IOA for Duration Data.

17
Q

What are the subtypes of Calculating IOA for Counted Data?

A

1) Total Count IOA - Formula = Smaller Count/ Larger Count * 100, little precision
2) Mean Count IOA - Formula = (Interval 1 IOA + Interval n IOA)/ n intervals * 100, better precision
3) Exact Count IOA - Formula = # of intervals both agree/ n intervals * 100, highly precise and used only for exact count (elicit exact behavior)

18
Q

What are the subtypes of Calculating IOA for Interval or Sample data (Discontinuous)?

A

1) Trial By Trial IOA - Formula = # of agreed trials / n trials * 100
or Interval By Interval - Formula = # of agreed intervals / n intervals * 100
2) Scored on Unscored IOA - Formula = # of agreed intervals (scored) / total # of intervals (scored) and Formula = # of agreed intervals (unscored) / total # of intervals (unscored).
It gives more precise info of where disagreement is occuring

19
Q

What are the subtypes of Calculating IOA for Duration Data?

A

1) Total Duration - Formula = Shorter Duration / Longer Duration * 100
e.g. 6 trials in a 2 minute session.
2) Mean Duration per Occurrence IOA - Formula = (Duration R1 IOA + Duration Rn IOA ) / n responses * 100
n can be 6 trials in a 2 minute session.

20
Q

Validity (Les 15)

A

The degree to which data accurately reflect the phenomenon they are reported to describe.

21
Q

we demonstrate the validity of our data in four ways, we examine it for?

A

Accuracy
Is the obtained value reflective of the true value?

Representativeness
Does the data represent the behavior across time, conditions, and settings?

Relevance
Does the data capture the most relevant dimensions of the target behavior?

Significance
Is the measured behavior socially significant?

22
Q

Frequency (Les 15)

A

The number of times a behavior occurs. Also called ‘count.’
- Other people would prefer that we use frequency to mean rate, which is a count per unit of time.

23
Q

Rate

A

Number of times a behavior occurs in a given time frame. Expressed “n occurrences per x time period”

24
Q

What are the countable behaviors?

A

Discrete - having a definite stop and start point.
the kinds of behaviors you’ll be collecting frequency or rate behavior data will be discrete. They’re going to have a definite stopping and starting point and they’re going to occur frequently enough to capture in the defined time period.
e.g. if the data collection is a 15 minute period and the behavior only occurs once every three days, then you’re not likely to get an accurate frequency count.

25
Q

Duration Data

A

Data that reports the amount of time that passed between the beginning and ending of a behavioral occurrence.
- duration data is better suited for behaviors that stop and start rapidly and repeatedly when you do know when a behavior has started and when it has ended.
- it’s also going to be used related to what the goal is. So if the behavior analytic goal is to increase something like endurance or persistence, how long the person will try to do something or how long they will continue to do something

26
Q

Latency

A

Amount of time that passes between a stimulus and initiation of the behavioral response.
- Latency data is collected for behaviors in which the goal is to increase (for negative behavior) or decrease the amount of time that passes between the stimulus and the response.

27
Q

Inter-Response Time

A

The amount of time that elapses between iterations of a behavior.
- by iteration, we just mean repetition or another instance of the behavior.
- it can be useful for decreased behaviors, as well as, latency do

28
Q

Inter-Response Time? When it’s used?

A
  • it can be useful for decreasing repetitive behaviors, as well as, latency data do.
  • Interesponse time, data might be useful in building behavioral fluency. e.g. How much time elapses between washing one dish and then initiating washing the next dish?
28
Q

Inter-Response Time? Function

A

you will be collecting multiple data points and then reporting an average, and the easiest way to do this is have a stopwatch
- you will press start at the initiation of the first behavior and then use your lap function to mark each subsequent initiation of the behavior and then obtain an average by dividing that total amount of time for the completed lapse by the total number of completed laps (time/number), bearing in mind that if your data collection session ends with a behavior in progress, then you don’t count that last lap because you do not have an end marking for that iteration of the behavior.