3- measurement Flashcards

1
Q

A characteristic of a phenomenon.

A property exists independent of its measurement

Examples: objects have mass regardless of the measurement system used to it.
Events exist in time

A

Fundamental properties

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2
Q

Measure :
quantify fundamental properties.

Examples:
pounds are a quantifiable measure of mass.
Seconds are a quantifiable measure of time.

A

Dimensional quantities

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3
Q

A single response occurs in time.

More specifically a response occurs at a certain point in time in relation to a proceeding environmental event.

A

Fundamental property; temporal locus

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4
Q

A fundamental quality of a natural phenomenon. Johnston and Penny maker, 2008

A

A Property

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5
Q

They are:

Qualitative. That is they are not measured

A

Properties of behavior

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6
Q

A dimensional quantity is a

A

Quantifiable, measurable aspect of a property.

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7
Q

The dimensional quantity associated with temporal locus is

A

Latency, which is the amount of time between a stimulus and response

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8
Q

A second fundamental property of a single response is derived from the fact that a response occupy his time.

A

Temporal extent

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9
Q

The amount of time between the beginning and the end of a response cycle.

A

Duration

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10
Q

The dimensional quantity associated with the fundamental property of temporal extent

A

Duration

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11
Q

A third fundamental property of a single response

It refers to the fact that a response can reoccur

A

Repeatability

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12
Q

The number of responses or number of cycles of the response class

A

Countsbility or frequency

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13
Q

What is the dimensional quantity associated with repeatedly

A

Countability

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14
Q

These three dimensional quantities, IIRT, rate and celeration arerelated to the combination of these two properties

A

Repeatability

Temporal locus

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15
Q

Refers to the time between two successive responses; usually the time elapsed between the end of a response cycle and the beginning of the next response cycle.

A

Dimensional quantity, inter response time

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16
Q

The ratio of the number of responses over some period of time.

A

Dimensional quantity rate

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17
Q

Fundamental datum in the study of operant behavior

A

Rate

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18
Q

______. Responding is the ratio of the number of responses over some period of time.

It’s unit of measurement is cycles per unit of time.

It is the fundamental datum in the study of operant behavior

A

Rate

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19
Q

Refers to change in behavior over time, usually increases acceleration, or decreases, deceleration in rate overtime

A

Dimensional quantity Celeration

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20
Q

Cycles/ unit of time//Unit of time

Change in rate/time OR # of responses/time/time

A

Celeration

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21
Q

The quantitative results of deliberate, planned, and usually controlled observation (Johnson and Pennypacker 2009)

A

Data

Datum is singular form of the term

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22
Q

Pivotal to the practice of ABA.

Our clinical decisions will be made by a valuation of this

Frequent, repeated allows for I’m going to valuation of our intervention(s)

Considerations;
   Observer expectation
   Reactivity 
   Complexity
    Completing activities
   Representative of behavior
A

Data

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23
Q

Objective
Refers only to observable

Clear
Readable and unambiguous
Allows replication, technological

Complete
Delineates the boundaries of what is and what is not an instance of behavior. Cooper do you thousand seven

A

Characteristics of a good response definition

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24
Q

Directly measures a dimensional quantity of behavior.

Most measure occurrence versus non-occurrence and thus measure a dimensional quantity, usually percent

A

Continuous (direct) Response measures

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25
1. Event (Frequency) recording 2. Latency recording measures 3. Duration recording, either per occurrence or total 4. IRT Recording measures into response time
Continuous response measures
26
1. Record time observation began 2. Count the responses 3. Record time observation ended 4. Divide: count/unit of time 5. Report as rate per unit of time
Event recording (aka frequency recording)
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Use this when: Free operant Response has a clear beginning and end Limitations; Behavior that occurs for long periods of time. Discrete trials High rates of behavior
Event recording
28
Record time observation began Record each antecedent record each response record time observation ended record as responses/Antecedents/Unit of time
Event recording of restricted operants
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Duration Per session: Total amount of time individual engages in an activity - Example: in a one hour observation total number of minutes engaged in tantrum behavior. Four minutes, five minutes each equals 20 minutes. Duration per occurrence: Amount of time a target behavior occupies -. For example: 2 episodes of tantrum. First tantrum equals four minutes, second equals 10 minutes
Duration recording.
30
when to use: Behavior that occurs for long periods of time. Limitations:: not sensitive to behavior that occurs often but not for long periods of time Unclear start and stop
Duration recording Considerations
31
Specify whether to start the stopwatch at the onset or at the offset of the stimulus Specify whether or not to stop the stopwatch at the beginning or end of the response cycle. If the latter, then you may be confounding latency and duration
Latency recording
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Considerations. When to use: how much time occurs between the opportunity to respond and the response? Limitations; will not provide information concerning accuracy of response
Latency recording
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Start timing at the END of the response cycle. Stop timing at the BEGINNING of the next response cycle
IRT recording
34
Use this when the time between responses is of concern Limitations: will not provide information concerning accuracy of response
IRT recording Considerations
35
The Mean IRT May be estimated given the RATE, provided that the variability is not too great, or that there are no outliers ``` The formula is: Recording interval/count Helps to remember there are: 60 minutes in one hour, 3600 Seconds in one hour ```
Estimating mean IRT’s
36
Rate equals response/time If rate = 6 per hour That is same as 6/60 minutes IRT = Time Units/Responses Solve: 60/6 Estimated I RT equals 10 minutes
Estimate the mean IRT, Example
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any operant whose response rate is controlled by a given opportunity to emit the response. Each discrete response occurs when an opportunity to respond exists. (aka restricted operant, controlled operate. Contrast with free operant.) duration.
Restricted Operant
38
``` Rate equals response/time If rate equals 120 per hour That is same as 120/3600 seconds IRT equals time units/responses Solve: 3600/120 Estimated IRT equals 30 seconds ```
Example: estimate the mean IRT
39
Responses are distributed across the observation. No significant outliers You know the rate
When to estimate mean I RT
40
Responses are grouped at one point of the observation interval such as the beginning or end Significant outliers
When not to estimate Mean IRT
41
Percent occurrence percent correct Trails to criterion Discrete categorization – coding Partial interval recording PIR Whole interval recording WIR Momentary time sampling MTS PLACHECK
Discontinuous response measures
42
Similar to event recording of a restricted or discriminated operant. However converted into a percent Percent correct is a special case of this
Present Occurrence
43
When to use this: Interested in a proportion of correct responses Limitations: Not a dimensional quantity Insufficient opportunities to respond
Percent Occurrence: Considerations
44
The number of consecutive opportunities to respond required to achieve a performance standard. Record each opportunity to respond until the performance standard is vet.
Trials to criterion
45
1. Determine what one trial will be, untied shoe. 2. Decide how to report, number of trials or number of block trials. 3. Record count as the measure 4. Present data
Trailers to criterion steps
46
When to use : Evaluate the efficacy of different teaching strategies. Assessing learner competence. Limitations: behavior that is difficult to count
Trials to criterion Considerations
47
Responses/antecedents/unit of time
Event recording of restricted operates
48
A method for CLASSIFYING responses into DISCRETE categories. Expressed as a percentage of responses for each code
Discrete categorization (Coding)
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Went to use: severity codes, Independence codes Limitations: not dimensional quantities
Discrete categorization
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Example Antecedent stimulus :wash your hands Target behaviors: steps in Handwashing task analysis see below Codes: L I equals independent; VP equals verbal prompt; GP equals gestural prompts; PP equals physical prompt; MG equals manual guidance. 1. Go to sync 2 turns on Faucet Etc
Discrete categorization
51
A discontinuous response measure in which a recording session is broken into short intervals of time, usually 10 to 20 seconds A response is recorded as occurring if it occurs at any time during the interval. -it is recorded as a non-occurrence if it does not occur at all during the interval. Reported as a percent of intervals.
Partial interval recording
52
Use when there is very high frequency target behavior, ease of data collection Limitations: prone to errors in estimation of actual target behavior, length of interval
Partial interval recording
53
A discontinuous response measure in which a recording session is broken into short intervals of time usually 10 to 20 seconds. A response is recorded as occurring if it occurs during the entire whole interval -it is recorded as a non-occurrence if it occurs for less than the entire interval Reported as a PERCENT intervals
Whole interval recording
54
A discontinuous response measure in which A response is recorded as occurring Only if It occurs at the point in time when the interval ends
Momentary time sampling
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behavior is occurring over a long period of time. Ease of data taking Limitations:prone to Errors in estimation of actual target behavior
Whole interval recording
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Use one continuous observation is not feasible Prone to errors in estimation of actual target behavior Limitations: low frequency duration
Momentary time sampling
57
A special case of momentary time sampling A group of individuals is observed at the end of an interval Count how many individuals are engaging in the target behavior Compare with the total number of individuals Percent of individuals engaging in behaviors At the end of the interval observe the group and count how many of individuals are engaging in the target behavior at that moment Divide the number engaging in the behavior by the total number of individuals Reported as a percent of individuals engaging in behavior
PLACHECK
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When there are a group of consumers Limitations: prone to errors in exclamation of actual target behavior
PLACHECK
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All indirect measurement methods are prone to errors:
WIR: underestimate PIR: overestimate and underestimates MTS: overestimates and underestimates
60
The dimensional quantity of interest The estimated rate of the behavior Whether to measure responses or episodes Where to collect data When, how often, and how long… Who will collect the data Resources that are available How the data will be used
Factors to consider when selecting a response measure
61
If a behavior has a consistent effect on the environment it can be measured by that effect Measuring the results of behavior is termed
Permanent product Measurement
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If real time measurement is not possible this may be used to ease data collection
Permanent products
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Use when behavior leave a product to be measured Use when I’m going data collection is difficult Limitations: real time observation maybe needed Lose information about the behavior
Permanent product
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Reliability is the consistency of measurement In ABA, when applied to the behavior being measured, it is the coefficient of agreement between two or more independent observers
Inter-observer agreement
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Usually calculated as a percentage by dividing the number of agreements by the total number of agreements plus disagreements, then multiplying by 100 Reported as percent agreement
Inter-observer agreement
66
Uses: * Competence of new observers * detecting observer drift * validate collection methods * increased confidence that interventions are responsible for behavior change.
Uses for IOA, (interobserver agreement
67
Reliability may also be assessed with regard to the treatment or intervention It’s integrity is the degree to which an intervention is implemented as described/designated This is often termed treatment integrity or procedural fidelity It is vital that both the dependent variable or the behavior, we are measuring and the independent variable, or treatment, we are using are being objectively measured
IV integrity, independent variable
68
Two main methods are: Total count. Calculated by smaller over larger times 100 Percent agreement. Calculated by agreement/agreement +disagreements x100 Yield same value as total count for direct measurement Used primarily for indirect Measurement methods
Determining interobserver agreement
69
Total count IOA has a flaw. There is no guarantee that the data were collected at the same time. This could be problematic if different treatments are in place at different times Mean count per interval can be used to increase the confidence of event recording data First we break the observation. Into segments
Mean count per interval IOA
70
Mean count per interval: Total agreement in each interval divided by number of intervals x100 Total duration: shorter duration/longer duration times 100 Mom – Five minute tantrum Dad – three minute tantrum 3/5×100 = 60 percent Interval by interval: Number of intervals agreed/number of interval agreed plus number of intervals disagreed times 100
Calculating mean account per interval Example. 7/(7+3) = 0.7 x 100 = 70%
71
Scored interval Intervals are only scored if an observer marks an occurrence Intervals where both observer agree there was no occurrence are omitted Unscored interval Only intervals are score it is an observer did not mark an occurrence Intervals we are both observer is agree there was an occurrence or omitted Most appropriate for high frequency behaviors In general, use more stringent methods if possible. When using interval or time sampling consider interval by interval with scored interval or unscored interval I
Determining interobserver agreement
72
IOS should be at or above IOA should be collected and scored for a minimum of
80% 33% of observations
73
Special class of momentary time sampling
PLACHECK (planned activity check)
74
A group of individuals is observed at the end of the interval
PLACHECK (Planned activity check)
75
Kristen is directly and openly observing staff person is. As such, their behavior may change as a result of her presents. In other words, they may react in a way that their behavior in her presence is not representative of their normal performance
Reactivity
76
Take care to collect data when it is __________ Of behavior. Example: measuring SIB at the end of acquisition trials. Measuring behavior for increase when it is Least likely to occur
Representative
76
Specific responses or episodes? What behaviors to lunch together and which to define separately Attempts versus threats but NEVER intent Intensity and or severity as part of the definition Duration may be part of the definition Latency may be part of the definition Topographical or functional definition?
Some definitional issues – response definitions
77
Continuous direct response measure is directly measure a dimensional quantity of behavior Discontinuous (indirect) response measures DO NOT Most measure occurrence versus non-occurrence and thus Measure a dimension less quantity, usually percent
Continuous versus discontinuous measures
78
Clinical example John engages in property distraction throughout the school day. John’s teacher takes data throughout the six hour school day. Aggression occurs At 9:30, 1045, 1:20 and 2:00 I RT: 75, 155, 40 = 270/3=90 minutes
Clinical example IRT
79
Calculate inter response times.. that is, the time at the end of one event to the beginning of the next event. Add those times together. Divide that number by the number of times. That is the answer.
Inter response time calculation
80
Instead of being related to one fundamental property, the last three dimensional quantities, I RT, Rate and Celeration, Art related to the combination of two properties:
Repeatability and temporal locus
81
Rate # Of responses/time Celeration IRT. TIME/# of responses Countability. # of responses Duration. Time Latency. Time
Dimensional quantities
82
Calculated by agreement/agreement +disagreements x100 Yield same value as total count for direct measurement Used primarily for indirect Measurement methods
Percent agreement - IOA