Chapter 8 Ledford Flashcards
visual analysis
systematic procedures used to evaluate specific characteristics of data patterns and evaluate presence of a functional relation
Advantages of visual analysis
- 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
formative visual analysis
conducted within and across conditions to identify behavior change during the study
behavior change
occurs when data patterns in one condition are different from data patterns in the subsequent adjacent condition for the same variables
summative visual analysis
conducted following study completion to determine whether a functional relation exists
adjacent conditions
when data in one condition differ from what is predicted based on the preceding condition, behavior change is demonstrated
within condition visual analyses
conducted to discern patterns within a single condition during study
level
- the amount of behavior that occurs, as indicated by the ordinate scale value
- often the characteristic of the highest interest for behavior change
trend
- the slope and direction of a data series or the direction data are moving over time
- accelerating
- decelerating
- zero celerating
- steep or gradual
between conditions visual analysis
identifies if behavior change has occurred
a functional relation can be identified when
- 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
functional relation can be confirmed when
- 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
you should visually inspect graphs for
- 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
split middle
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
stability envolopes
used to estimate stability in level or trend within conditions