4- displaying and interpreting behavioral data Flashcards

1
Q

Dimensionless quantities

A

Partial interval, whole interval, momentary time sample

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2
Q

A systematic form of data examination, characterized by visual inspection of graphical displays of those data

A

Visual data analysis

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3
Q

1 embedded in text

2 summary form, usually as a structured data table, numerical representation

  1. graphical form (A visual representation of data)
A

Types of data display

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4
Q

Equal interval line graph

Cumulative records

Bar graph

Semilogarithmic graphs

A

Graphic displays used in ABA

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5
Q

Based on a “Cartesian” plane, a two dimensional area formed by the intersection of two perpendicular lines (One vertical, one horizontal)

They form a + shape
Invented by Renee Descartes

A

Equal interval line graph

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6
Q

Any point within the plane of the chart represents a specific relationship between the two variables (Dimensions) Measured along each of the axis lines

AKA Equal-Interval line graph

A

Simple line graph

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7
Q

Most commonly use format for charting ABA data

Used to evaluate treatment effectiveness

Used in functional analysis

A

Common uses of line graphs

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8
Q
The horizontal X – axis
The vertical Y – axis
Data points
The data path 
Condition and condition phase change line
Condition and phase change labels
Figure legend
A

Parts of an equal interval line graph

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9
Q

X – axis

The abscissa

Represents the passage of time

A

Horizontal axis

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10
Q

Data analysis animates the discipline of ABA the way the nervous system animates

A

The human body

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11
Q

In APA, it allows for the evaluation of the effects on behavior, I’ve experimental or clinical manipulation.

Typically, these data are presented as repeated measures overtime

A

Visual analysis

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12
Q
  1. Taking an overview of an entire data display, noting it’s general characteristics such as a type of display, range and continuity of each axis, specific variables under consideration, and,
  2. Specific data inspection and analysis such as evaluating Trends, level, and variability of data, both within and across phases.
A

Visual analysis: The process

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13
Q
  1. Was very meaningful change in behavior?

2. To what extent can the change be attributable to a specific environmental change

A

Visual analysis; the purpose

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14
Q

Termed criterion by inspection

Cornerstone of behavior analytic research and practice

A

Visual analysis

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15
Q

Ryan engage in an average of to ask of flipping furniture for six hour school day, over the course Of the ten-day baseline face. The range was between zero and four per day. During the 15 days of the first intervention phase, Ryan engaged in…

A

Example of data in text

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16
Q

A.k.a. chart, is a relatively simple visual format for displaying data

Provides visual representations of relationships between a series of measurements and relevant variables

Device used for organizing summarizing interpreting and communicating the results of ABA

A

Graphs

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17
Q

Provides immediate access to an ongoing visual record of behavior and that’s promotes the continuous evaluation

Unexpected variations in data can lead to more complete analysis

They aid in judgment and interpretation of data more quickly and with less training then required by statistical evaluation

More conservative than statistical analysis

Provide Visual feedback to person whose behavior is being graphed and the individuals who are collecting the data

Tables and data are embedded within a text may be use as adjunct to graphs

A

Some benefits of using graphs

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18
Q

A type of Bar Graph

A

Histogram

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19
Q

A type of Standard celeration chart

A

Semilogarithmic graph

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20
Q

Marked according to the needs of the behavior analyst, to promote the most useful analysis

Can be marked as consecutive calendar days, weeks, or months; or by consecutive school days or by sessions classes or any specified recorded observation. Over a period of time

A

X axis units

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21
Q

Y – axis

The ordinate

Represents range of values of dependent variable, some quantified dimension of the target behavior

Moving from the zero point upwards along the LetterY axis, each point represents an increase value of the DV (the target bx)

A

The vertical axis don’t care

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22
Q

Equal movements up represent equal increases in behavior, on an equal intervals chart

Behavior should be expressed in whole time units, such as per hour or per minute rather than expressed in nonstandard units such as per class or procession

A

Y – Axis units

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23
Q

Dad expressed in procession or per class rates kind of problems

Session or class to rations can vary making them difficult to compare

Number of hours observed in some daily data can vary. Day today data points may not be comparable

For instance, weekday daily data versus weekend the data observations often very

A

Problems with non-standard units

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24
Q

Data may be graphed over consecutive days, classes, sessions, or observation. As, for example, the number of face slept for an hour, per day or number of Mands per minute per session.

That’s a rate such as hits two others per hour, is measured up the Y axis While the passage of time, per consecutive day, is marked along the X axis

A

Solution to problems with nonstandard units

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25
Q

Typically runs from zero, the intersection point with the X – axis, up to some number which is chosen by the creator of the graph

How is this number chosen?

What can happen if the incorrect number selected as the top of the range for the graphical display? Can go off the chart

A

Y – axis range

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26
Q

No convention exist. It depends on the specific behavior being charged

Led to the development of the standard celeration chart at least in part. Including Mands per day can go quickly from one up to hundreds. This makes a Y axis difficult to arrange

For equal interval line graphs, with clearly defined learning objectives, extend the Y axis range enough above the learning goal to allow for excellence – usually 25% to 33% above

Example, for target rate of 30 correct responses per minute on single digit multiplication table flashcards, have your range go up to 40 or so

A

The Proper Range: Acquisition Targets

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27
Q

Sometimes small variations at high values of the dependent variable can be enhanced by simple trick of graph manipulation

Can also be done on the X axis to make it appear that data taken months apart or temporarily contiguous

Bad idea

A

The break in the Y axis.

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28
Q

An individually measured value of the target behavior ( the DV) at a given point in time.

marks the intersection of values of two measurements, one marked along the Y axis and the other on the X axis

Example, there were 26 face laps (DV Measure on Y axis) during observation 4. (Time measure on X axis). See slide.

A

Data points.

The slide called a data point equals the intersection of X value and a Y value

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29
Q

Different shapes maybe used to represent different dependent variables

Useful in helping to distinguish between data paths

Different colors are nice…But do not copy or fax well

A

Data points

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30
Q

Series of straight lines connecting success of data points within a phase or condition.

Represents the relationship between the independent variable and the dependent variable

The primary focus for analysis and interpretation

Each line represents an estimate of the behavior

Connects data points

Each line represents an estimate of the chorus taken by the behavior between each point.

The more data points collected, the more confidence can be placed in the story of the behavior depicted by the data path.

A

Data Path

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31
Q

Represent one of two types of occurrence;

  1. Major changes occur in the independent variable –i.e. The introduction or discontinuation of An intervention.
  2. A major, usually permanent, change in the environment. eg.,The person moves residences, or sustains a permanent physical injury.
A

Phase changes

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32
Q

They document phase changes. They are a vital part of any chart

Solid vertical line placed at a point along the X axis indicating the point in time when the phase change occurred.

Allows for a clear visual separation between the data charted before the phase change, and the data collected after the phase change

Changes in the INDEPENDENT VARIABLE!

A

Phase change lines

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33
Q

Represents one of two types of occurrence:
MINOR changes occur in the INDEPENDENT VARIABLE. i.e., change in some parameter of an on-going intervention
Or
A minor, usually temporary, change in the environment. Example, the person is temporarily ill or goes on vacation.

A

Condition changes

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34
Q

Documents minor changes or vital changes.

A dotted vertical line is placed at a point along the X axis indicating the point in time of the change

Typically changes within phases. Thus, charts may contain only phase change lines, or May contain both…
Phase and condition change lines

A

Condition change lines.

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35
Q

Cooper continues to define the distinction between the condition and phase change lines.

JABA has utilize this distinction less and less

Dotted vertical lines now represent both condition and phase change lines in the majority of published articles on ABA

The board is unlikely to maintain this distinction for the purposes of the test, but we teach it not only as best practice, but because it enhances your ability to analyze data.

We will make the distinction on our test

A

Changing conventions

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36
Q

states what response measure was used to measure the dependent variable – the target behavior such as,
rate of hits per hour, number of Mands , or percentage of recorded intervals during which screaming occurred

A

Y axis label

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37
Q

States what time periods are represented by each success data point.
Such as, days, weeks, sessions

A

X axis label

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38
Q

Brief and placed at the top of the chart, and identify each separate major phase of treatment. Such as baseline, DRA, D/C haldol

A

Phase label

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39
Q

Mark changes occurring within a phase. Such as changes in FR schedule, dosages.

Should be easily understood.

A

Condition label

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40
Q

A concise statement that provide you with:

Sufficient information to identify the dependent variable’s and the independent variables, and

Possibly other salient information necessary to visually interpret the data

A

Figure legends

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41
Q

A general rule of thumb, do not connect across periods on the X axis where no data exist Regardless as to whether data were collected and loss, we’re not collected, or at the behavior did not have the opportunity to occur, such as days missed at school

This convention has Evald over time

A

On Connecting data points

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42
Q

What are we looking for?

What do we look at?

How do we analyze data?

A

Equal interval line graph characteristics

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43
Q

Answers two basic questions:

  1. Was there a meaningful change in behavior?
    - did the target behavior significantly change in rate, or some other measure, between one phase/condition and the next?
    a. A rough standard of significant change is a doubling or having but only as a guideline
  2. To what extent can the change be attributable to a specific environmental change?
    —-Was the change due to the independent variable, (the environmental manipulation? ) How sure can we be – was this a systematic manipulation?
A

Visual analysis: the purpose

44
Q

When analyzing a graph visually we must look at 4 characteristics of the data plotted on the chart

  1. Level
  2. Variability
  3. Trend
  4. The number of data points
A

Visual analysis of a graph

45
Q

The mean, or rarely the median value, of a set of data points

A flat horizontal line drawn through a data set at the average value, a.k.a., the mean value of those data points

A

Level

46
Q

We are discussing the directionality of a line drawn through a set data points

A

Trend

47
Q

Discussing the bounce of a set of data points within phases or conditions

A

Variability

48
Q

Add up all eight data points.

6+10+7+10+6+7+6+8 =60

Divide 60 by the total number of data points, 8

60÷8 = 7.5

Draw your level line at 7.5

A

Computing the average value -Level line

49
Q
  1. Between phases and or conditions, levels of data can change.
  2. Visual inspection of this mean shift in level can’t allow you to evaluate the effect of the change in the Independent variable
A

Shift in level

50
Q

Mean level lines are most common.
However, median level lines are also used, especially when outlying data points skew the level line in a way that makes it not representative of the data set as a whole.

And those outliers usually require some additional analysis
A

Median level

51
Q

Refers to the overall direction taken by the data path through a set of data points

Described in terms of the direction of the path through the data: increasing, decreasing or zero no trend

never described as first increasing then decreasing, those would be two different …

A

Trend: direction of the data

52
Q

States what time periods are represented by each successive data point.

The direction and degree in a series of graphically displayed data points can be visually represented with a straight line drawn through the data

Usually the best fit line is used.

A

Trend ? Level?

53
Q

A trend line, typically drawn freehand

They bisect the data, with close to an equal number of data points above the line as below the line.

Linsley 1985 suggested ignoring the one or two data points outside the more typical range of the data set

A

The best fit line

54
Q

Mathematical way to calculate trend

Sometimes referred to as the Quarter intersect method

A

Split middle line of progress

55
Q

One of the ways to visually analyze data is to Look at the presence or absence of an effect on the trend by a phase or condition change: I.e., a change in the independent variable (environmental manipulation)

Example, no change in trend even if levels change between phases, can indicate no meaningful change in the behavior

Conversely, a change in trend alone (Without a change in level or variability) Can constitute a significant change

A

Trends not affected by the IV.
And

Trends affected by the independent variable

56
Q

The extent to which measures of behavior under the same environmental conditions diverge from one another.

Stability is the opposite of this

The greater the _______, the greater the need for additional data

A

Variability

57
Q

Ratio of the X axis to the Y axis

A

4:3

58
Q

X-axis should be:
______ times the length of the Y axis

which is a……… Increase

______ Ratio

A
  1. 6
  2. 5%
    4: 3
59
Q

The greater the variability, the greater the need for…

A

Additional data

60
Q

Variability is determined around a central reference:

A

The trend line

Variability is not defined by the full range of the data set

61
Q

The minimum number of data points necessary to establish a trend, variability or a level of data.

A

Three

62
Q

Are always reported as percentages of record at intervals during which the criterion of the interval was met.

Percentages need no conversion to standard units

A

Dimensionless quantities such as partial interval, whole interval, momentary time sample

63
Q

Developed by Skinner as the primary means of data collection and analysis in EAB laboratory research.

A

Cumulative record

64
Q

Primarily used in EAB
Each response move the ink stylus one unit, click, along its track.

When it reaches the end of the track it reset to zero and begins moving again, one click at a time.

Paper moves under the stylus at a steady rate

A

Cumulative recorder

65
Q

Rate is indicated by slope, not Y axis value

The slope of the line represents responses per minute

A

Cumulative recorder

66
Q

At high rates, slopes above 75 to 80°, major changes in rate can be very difficult to distinguish. Remember, 90° would be an infinite rate.

Local rates, number of responses for any given session on a long-term record, can be difficult to distinguish.

Gradual changes in slope, rate, can be difficult to distinguish

A

Cumulative record problems

67
Q

Was there a change and variability?

Was there a change in trend?

Was there a change in level

A

Questions

68
Q

Vertical axis represents the value of a DEPENDENT variable

HOWEVER,

The HORIZONTAL axis represents a phase, condition, or classification variable.

does NOT have distinct data points representing Successive response measures through time… The other three types of graphs do

A

Bar graphs

69
Q

Summarize and compare data for different groups of subjects and/or different conditions.

Used to compare sets of data which are NOT related to one another by a common underlying dimension by which the horizontal axis can be scaled, such as time or distance.

A

Use of a bar graph

70
Q

Should not be used to represent the changes in repeated measures across the time

Should not be used to evaluate client progress on a daily, weekly, or monthly basis.

A

Improper use of bar graphs

71
Q

A.k.a. semilog six cycle chart

Used in precision teaching

Some behavior analysts think it is the best way of displaying data.

A

Standard celeration chart

72
Q

Was developed by Skinner as the primary means of data collection and analysis in EAB laboratory research

Best for behavior as where cumulative responses are important such as saving money or exercise

A

Cumulative record (or graph)

73
Q

Best for acquisition targets and setting learning objectives, although they are not generally well received, despite their effectiveness

A.k.a. semilog six cycle chart

Used in precision teaching

Some behavior analysts think it is the best way of displaying data.

A

Standard celebration charts

74
Q

A chart used for groups across different conditions

A

Bar graphs

75
Q

The primary tool for behavior analysts in almost every setting an application

A

Equal interval line graph

76
Q

Usually placed your next data point on the chart as quickly as possible that is as soon as your next unit of time on the X axis has passed
. This means DALY, or at a minimum weekly

The learning curve on the standard celebration chart: three days below the curve and change your teaching strategy

A

How often to charge your data

77
Q

Y axis on left side, vertical, has one range, and Y axis on the right side, vertical, has another range.

Can be done on a single celebration
chart

Four different ranges of data

A

Alternative graph option, double Y axis

78
Q

Too many dependent variables

Dependent variable’s difficult to see

Charts with units that do not reveal trends

A

Problems with double Y axis Charting

79
Q

Stability is the opposite of this

A

Variability

80
Q

Nonstandard units

A

Per class or per session

81
Q

Whole time units

A

Per hour, per minute

82
Q

Represents the relationship between the IV and the DV

A

Data path

83
Q

The primary focus of analysis and interpretation

A

Data paths

84
Q

can change between phases and condition

A

Levels of data

85
Q

Described in terms of increase in the variability and the data around it

A

Trend

86
Q

A rough standard of significant change is a

A

Doubling or halving but only as a guideline

87
Q

A.k.a. standard behavior chart

A

Celeration chart

88
Q

For ABA graphs, each point represents a level or amount of some quantifiable dimension of a target behavior, Measure in relation to some point in time or environmental condition

A

Data points

89
Q

Cooper; the value on the vertical axis scale around which a set of behavioral measures converge.

Generally, it’s the mean average value of a set of data points, usually across an entire condition or phase.
But Sometimes look at a subset of data within a phase or condition. (Not typical)

A flat horizontal line drawn through a data set at the average value, a.k.a. the mean value of those data points

Mean level lines are most common

A

Level

90
Q

Most common level lines

A

Mean level lines

91
Q

Add up all eight data points

Divide that number by the total number of data points.

Draw your line at that number.

A

Computing the average value of a level line

92
Q

A systematic form of data examination, characterized by visual inspection of graphical displays of those data.

In ABA it allows for the evaluation of the effects on behavior, of an experimental or clinical manipulation.

Typically, these data are presented as repeated measurements over time.

A

What is visual analysis?

93
Q

Pie charts

Area charts

Radar charts

For logarithmic log log graphs, log scale on both the X and Y axis

And many more

A

Graphic displays not used in ABA

94
Q

For acquisition targets, no convention exist. It depends a great deal on the specific behavior being charted.

This is what led to the development of the standard Celeration chart, at least in part,. E.g., mands per day can go quickly from one of 200s. This makes a Y axis difficult to arrangemmBut for equal intervals line graphs, with clearly defined learning objectives, extend the Y axis range enough above the learning goal to allow for excellence. Usually 25% to 33% above.

For example, for a target rate of 30 correct responses per minute on single digit multiplication table flashcards, have you arrange go up to 40 or so.

A

The proper Range: acquisition targets

95
Q

The standard conventions for the length of the Y axis compared to the length of the X axis are as follows:

Generally, the X axis should be about 1.6 times the length of the Y axis. This is about an 8:5, or more simply a 4:3, ratio.

For graphs stacked up on each other, this ratio could be much greater. See graphs
A

The comparative Axis Lengths

96
Q

Between phases and/or conditions, levels of data can change.

Visual inspection of this mean shift in level can allow you to :
Evaluate the effect of the CHANGE in the independent variable (IV)

A

Shift in level

97
Q

Trends are also described in terms of
The degree of trend, how rapid is the decrease or increase in the data, and

The extent of variability of data around the trend.

A

Trend: degree and variability

98
Q

The direction and degree of trend in a series of graphically displayed data points can be visually represented with a straight line drawn through the data.

A

Trend lines

99
Q

Variability is determined around a central reference: the TREND LINE

Variability is not defined by the full range of the data set.
A

Trend and variability

100
Q

In a sense, a level can be established with a single data point, but confidence in level increases with an increasing number of data points.

Any judgment on trend or variability requires a bare minimum of three data points.

The more variable the data, the more data points are required to make a decision on trend.

A

The minimum number of data points needed for visual analysis

101
Q

When data on dimensional quantities such as weight, duration, I RT, I collected during an equal observation. So, those data must be converted into comparable units, such as per minute or per hour

A

Converting dimensional quantities to common units

102
Q

Dimension less quantities such as partial interval, whole interval, momentary time sampling
, are always reported as percentages of recorded intervals during which the criterion on the interval was met. Percentages need no conversion to standard units

A

Dimensionless quantities need no conversion.

103
Q

An automated device. When in use, the behavior of the experimental subject create a graph automatically.

It is primarily used in EAB

Each response move the ink stylus one unit, click along its track

When it reaches the end of the track, it reset to zero and begins moving again, one click at a time.

Paper moves under the stylus at a steady rate

RATE is indicated by slope, not Y axis value
Flatline anywhere on the chart equals no responding

The slope of the line represents responses per minute

A

Cumulative recorder- Skinner

104
Q

At high rates (slopes above 75 to 80°), major changes in weight can be very difficult to distinguish. Remember, 90° would be an infinite rate.

Local rates, number of responses for any given session on a long-term record, can be difficult to distinguish.

Gradual changes in slope or rate, it can be difficult to distinguish

A

Some problems with cumulative records.

105
Q

X

A

X