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Chapter 6 Flashcards
systematic process for interpreting results of single-case design data that involves the visual examination of graphed data within and between different conditions (e.g., baseline, intervention) in terms of level, trend, variability, cyclicity, overlap, immediacy, permanency, and practical significance Visual analysis
period of time during which an outcome is measured repeatedly in the absence of an intervention in order to (1) describe the naturally occurring pattern of outcome data (e.g., level, trend, variability) and (2) determine the effect of an intervention on that outcome. Typically symbolized by the letter A Baseline phase
period of time during which an intervention is implemented while an outcome is measured repeatedly Intervention phase
a particular arrangement of data in terms of level, trend, variability, cyclicity, overlap, immediacy, permanency, and practical significance Data pattern
value on the vertical axis around which a series of outcome data converge Level
overall direction of a data path within a phase or across phases of a single-system design line graph: (1) no trend; (2) negative trend (also referred to as a descending or decelerating trend because values are decreasing over time); and (3) positive trend (also referred to as an ascending or accelerating trend because values are increasing over time). Trend
overall direction of a data path within a phase is moving in the desired direction (e.g., descending if lower values of the outcome are desirable and ascending if higher values of the outcome are desirable) Improving trend
overall direction of a data path within a phase is moving in an undesirable direction (e.g., descending if higher values of the outcome are desirable, and ascending if lower values of the outcome are desirable) Deteriorating trend
typical amount of change in an outcome from day-to-day, week-to-week, or whatever unit is involved Slope
degree to which data points deviate from (or dispersed relative to) the overall trend Variability
pattern of baseline data that exhibits relatively little variability over time and little or no trend Stable baseline
pattern of baseline outcome data that do not fall within a relatively small range of values (i.e., they are variable) Variable baseline
variable outcome data that exhibit a sequence of alternating patterns (e.g., upward and downward trends) Cyclical data pattern
amount of time it takes for a change in level, trend, or variability to occur after a condition change (e.g., baseline to intervention) Immediacy of change
degree to which data in adjacent phases share similar quantitative values—the more the overlap, the less the difference between adjacent phases, and the less the overlap, the greater the difference Overlap
measure of central tendency that divides a distribution of values in half when the values are arranged in numerical order (or the average of the middle two values in a set with an even number of values). Median