Chapter 6- Constructing and Interpreting Graphic Displays of Behavioral Data Flashcards

1
Q

Data

A

The medium with which behavior analysts work, product of measurement.

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2
Q

Graphs

A

Relatively simple formats for visually displaying relationships among and between a series of measurements and relevant variables.

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3
Q

Line graph

A

Most common graphic format in ABA. Two dimensional, shows relationship between the dependent and independent variable. Includes: horizontal axis, vertical axis, axis labels, condition change lines, condition labels, data points, data path, figure caption

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4
Q

Data path

A

Connecting data points on a line graph.

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5
Q

Bar graph

A

A simple and adaptable format for graphically summarizing data. Bar graphs sacrifice the variability and trends in data.

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6
Q

Cumulative recorder

A

A device that automatically draws a graph of a subject’s rate of behavior.

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7
Q

Cumulative record

A

Constructed by adding the number of responses recorded during each observation period to the total number of responses recorded during all previous observation periods.

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8
Q

Overall response rate

A

The average rate of response over a given time period.

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9
Q

Local response rate

A

The rate of responses during periods smaller than that for which an overall rate has been given.

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10
Q

Ratio scale

A

Well suited for displaying proportional change. Equal vertical distances correspond to equal ratios of change in the variable being measured.

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11
Q

Standard celeration chart

A

A standardized means of charting and analyzing how frequency of behavior changes over time.

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12
Q

Precision teaching

A

Developed for use with the standard celeration chart. Based on that learning is best measured as a change in response rate, learning occurs through proportional changes in behavior, and past changes in performance can project future learning.

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13
Q

Scatterplots

A

Graphic display that shows the relative distribution of individual measures in a data set with respect to the variables depicted by the x and y axes. No data path.

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14
Q

Visual analysis

A

An examination to interpret graphically displayed data.

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15
Q

Variability

A

How often and the extent to which repeated measures of behavior yield different outcomes.

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16
Q

Level

A

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

17
Q

Trend

A

Overall direction taken by a data path

18
Q

Split-middle line of progress

A

Drawn through data points, shows the overall trend