SPCE 630 Final Exam prep, 2025 COMPREHENSIVE EXAM
QUESTIONS WITH DETAILED VERIFIED AND 100% CORRECT
ANSWERS BRAND NEW EXAM ALREADY GRADED A+!!
visual analysis of graphed data - ANSWER✔✔-is the cornerstone of and most
frequently used data analysis method in SCD research, particularly for determining
whether a study demonstrates experimental control.
involves systematic procedures used to evaluate specific characteristics of data patterns
and evaluate the presence of a functional relation.
advantages of visual analysis - ANSWER✔✔--can be used to evaluate data of
individuals or small groups depending on the unit of analysis specified in the research
question.
-data are collected repeatedly, graphed as they are collected, and analyzed frequently
-focuses on analysis of individual data patterns
-discovery of potentially interesting findings that may not be directly related to the
original research question or program objective.
-graphic presentation of data permits independent analysis and interpretation of results
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,formative visual analysis - ANSWER✔✔-conducted within and across conditions to
identify behavior change during the course of a study.
behavior change - ANSWER✔✔-occurs when data patterns in one condition are
different from data patterns in the subsequent, adjacent condition for the same
variable(s).
summative visual analysis - ANSWER✔✔-conducted following study completion,
across multiple opportunities to demonstrate behavior change to determine whether a
functional relation exists between the independent variable and the dependent variable.
adjacent conditions - ANSWER✔✔-in SCD research, data patterns are examined within
and across adjacent conditions; when data in one condition differ from what is
predicted based on the preceding condition, behavior change is demonstrated.
formative analysis is conducted in two steps - ANSWER✔✔-1. within and across
adjacent condition analyses
2. systematic examination of specific data characteristics
within condition visual analyses - ANSWER✔✔-are conducted to discern patterns
within a single condition during a study. within condition visual analyses of level,
trend, and variability/stability are critical for determining when to change conditions,
deciding whether adaptations need to be made, and providing information related to
answering research questions.
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 2
,beginning with the initial condition, typically baseline, you should look for stability of
data across a minimum of at least three to five sessions prior to changing conditions.
condition change criteria - ANSWER✔✔-should be made a priori based on
hypothesized data patterns. these criteria will guide both formative and summative
decisions about experimental control.
level - ANSWER✔✔-refers to the amount of behavior that occurs, as indicated by the
ordinate scale value. the characteristic of highest interest for behavior change, and is
generally described as low, moderate, or high.
trend - ANSWER✔✔-the slope and direction of a data series or the direction data are
moving over time. three characteristics can be described: trend directions, trend
magnitude, and trend stability.
trend direction - ANSWER✔✔-referred to as accelerating, decelerating, or zero
celebrating. trend can further be characterized by magnitude, and is often described as
steep or gradual and paired with direction. also describe whether the direction of a
trend is improving (therapeutic) or deteriorating (contra-therapeutic).
contra therapeutic trend - ANSWER✔✔-represents a common data pattern in SCD data
that might occur within a condition and particularly prior to the introduction of the
independent variable. this refers to trends that are in the opposite direction of the
hypothesized direction of improvement and can establish need for the intervention.
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, variability - ANSWER✔✔-fluctuation from one data point to the next and is the
opposite of stability; in data with no trend, this can be summarized as the range of data
values within a condition or as the percentage of data points falling within a given
stability envelope
stability - ANSWER✔✔-is predictability and consistency of data values within a
condition. perceptions of this can be influenced by scales and ranges of y axes.
between condition visual analysis - ANSWER✔✔-the objective of this is to identify if
behavior change has occurred. in SCD research a particular condition (B) is introduced
and re-introduced to one (eg. A-B-A-B) or more than one (multiple baseline design) data
series to evaluate whether there is a functional relation between independent and
dependent variables.
functional relations - ANSWER✔✔-are unequivocal demonstrations that an
independent variable produced reliable and consistent change in a dependent variable.
the purpose of SCD research is to determine if behavior change occurs when the
intervention is introduced, and whether the behavior change can vive reliably
replicated.
analysis of data across adjacent conditions entails determining: - ANSWER✔✔-a)
changes in data patterns (level, trend, variability) b) immediacy of change c) amount of
overlapping data across adjacent conditions d) consistency of data patterns across
similar conditions
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 4
QUESTIONS WITH DETAILED VERIFIED AND 100% CORRECT
ANSWERS BRAND NEW EXAM ALREADY GRADED A+!!
visual analysis of graphed data - ANSWER✔✔-is the cornerstone of and most
frequently used data analysis method in SCD research, particularly for determining
whether a study demonstrates experimental control.
involves systematic procedures used to evaluate specific characteristics of data patterns
and evaluate the presence of a functional relation.
advantages of visual analysis - ANSWER✔✔--can be used to evaluate data of
individuals or small groups depending on the unit of analysis specified in the research
question.
-data are collected repeatedly, graphed as they are collected, and analyzed frequently
-focuses on analysis of individual data patterns
-discovery of potentially interesting findings that may not be directly related to the
original research question or program objective.
-graphic presentation of data permits independent analysis and interpretation of results
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 1
,formative visual analysis - ANSWER✔✔-conducted within and across conditions to
identify behavior change during the course of a study.
behavior change - ANSWER✔✔-occurs when data patterns in one condition are
different from data patterns in the subsequent, adjacent condition for the same
variable(s).
summative visual analysis - ANSWER✔✔-conducted following study completion,
across multiple opportunities to demonstrate behavior change to determine whether a
functional relation exists between the independent variable and the dependent variable.
adjacent conditions - ANSWER✔✔-in SCD research, data patterns are examined within
and across adjacent conditions; when data in one condition differ from what is
predicted based on the preceding condition, behavior change is demonstrated.
formative analysis is conducted in two steps - ANSWER✔✔-1. within and across
adjacent condition analyses
2. systematic examination of specific data characteristics
within condition visual analyses - ANSWER✔✔-are conducted to discern patterns
within a single condition during a study. within condition visual analyses of level,
trend, and variability/stability are critical for determining when to change conditions,
deciding whether adaptations need to be made, and providing information related to
answering research questions.
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 2
,beginning with the initial condition, typically baseline, you should look for stability of
data across a minimum of at least three to five sessions prior to changing conditions.
condition change criteria - ANSWER✔✔-should be made a priori based on
hypothesized data patterns. these criteria will guide both formative and summative
decisions about experimental control.
level - ANSWER✔✔-refers to the amount of behavior that occurs, as indicated by the
ordinate scale value. the characteristic of highest interest for behavior change, and is
generally described as low, moderate, or high.
trend - ANSWER✔✔-the slope and direction of a data series or the direction data are
moving over time. three characteristics can be described: trend directions, trend
magnitude, and trend stability.
trend direction - ANSWER✔✔-referred to as accelerating, decelerating, or zero
celebrating. trend can further be characterized by magnitude, and is often described as
steep or gradual and paired with direction. also describe whether the direction of a
trend is improving (therapeutic) or deteriorating (contra-therapeutic).
contra therapeutic trend - ANSWER✔✔-represents a common data pattern in SCD data
that might occur within a condition and particularly prior to the introduction of the
independent variable. this refers to trends that are in the opposite direction of the
hypothesized direction of improvement and can establish need for the intervention.
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 3
, variability - ANSWER✔✔-fluctuation from one data point to the next and is the
opposite of stability; in data with no trend, this can be summarized as the range of data
values within a condition or as the percentage of data points falling within a given
stability envelope
stability - ANSWER✔✔-is predictability and consistency of data values within a
condition. perceptions of this can be influenced by scales and ranges of y axes.
between condition visual analysis - ANSWER✔✔-the objective of this is to identify if
behavior change has occurred. in SCD research a particular condition (B) is introduced
and re-introduced to one (eg. A-B-A-B) or more than one (multiple baseline design) data
series to evaluate whether there is a functional relation between independent and
dependent variables.
functional relations - ANSWER✔✔-are unequivocal demonstrations that an
independent variable produced reliable and consistent change in a dependent variable.
the purpose of SCD research is to determine if behavior change occurs when the
intervention is introduced, and whether the behavior change can vive reliably
replicated.
analysis of data across adjacent conditions entails determining: - ANSWER✔✔-a)
changes in data patterns (level, trend, variability) b) immediacy of change c) amount of
overlapping data across adjacent conditions d) consistency of data patterns across
similar conditions
OLIVIA GREENWAYS© 2025, ALL RIGHTS RESRVED 4
