Chapter 8 Ledford Flashcards

1
Q

visual analysis

A

systematic procedures used to evaluate specific characteristics of data patterns and evaluate presence of a functional relation

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2
Q

Advantages of visual analysis

A
  • can be used to evaluate data of individuals or small groups
  • dynamic process meaning data are collected repeatedly, graphs as they are collected, and analyzed frequently
  • focuses on analysis of individual data patterns, facilitating individualization rather than generalizations
  • permits discovery of potentially interesting findings that may not be directly related to research questions
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3
Q

formative visual analysis

A

conducted within and across conditions to identify behavior change during the study

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4
Q

behavior change

A

occurs when data patterns in one condition are different from data patterns in the subsequent adjacent condition for the same variables

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5
Q

summative visual analysis

A

conducted following study completion to determine whether a functional relation exists

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6
Q

adjacent conditions

A

when data in one condition differ from what is predicted based on the preceding condition, behavior change is demonstrated

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7
Q

within condition visual analyses

A

conducted to discern patterns within a single condition during study

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8
Q

level

A
  • the amount of behavior that occurs, as indicated by the ordinate scale value
  • often the characteristic of the highest interest for behavior change
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9
Q

trend

A
  • the slope and direction of a data series or the direction data are moving over time
    • accelerating
    • decelerating
    • zero celerating
  • steep or gradual
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10
Q

between conditions visual analysis

A

identifies if behavior change has occurred

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11
Q

a functional relation can be identified when

A
  • there’s a sufficient number of potential demonstrations of effect (at least 3)
  • visual analysis suggests that consistent changes in data occur for all potential demonstrations
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12
Q

functional relation can be confirmed when

A
  • there’s a successful attempt to replicate effects of a condition
  • similar conditions generate similar levels and trends within and across participants in a study
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13
Q

you should visually inspect graphs for

A
  • adequate number of data points
  • clear patterns within conditions
  • behavior change between adjacent conditions
  • degree of overlap and immediacy of change in data patterns
  • consistency of changes
  • predicted patterns of change
  • magnitude of change across conditions and cases
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14
Q

split middle

A

tool used to estimate trend within conditions and compare trends between conditions
- most useful when within condition trends or between condition changes in trend are of primary interest and data show moderate or high variability within conditions

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15
Q

stability envolopes

A

used to estimate stability in level or trend within conditions

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16
Q

percentage of non-overlapping data

A

used to estimate level change between two adjacent conditions