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Visual Inspection Data Patterns
The effectiveness of an intervention in single-subject research is evaluated by observing combined patterns of level, trend, and latency in data graphs. A highly effective treatment typically produces obvious, immediate changes in level, a reversal of negative trends, and short latencies upon introduction. Conversely, an ineffective treatment is characterized by minute shifts in level, ambiguous latencies, and trends that appear to be mere continuations of patterns already established during the baseline phase.

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Research Methods in Psychology - 4th American Edition @ KPU
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Level in Visual Inspection
Trend in Visual Inspection
Latency in Visual Inspection
Visual Inspection Data Patterns
Limitations of Visual Inspection
Statistical Analysis in Single-Subject Research
What is the primary method of data analysis used in single-subject research to determine the effect of the independent variable?
In single-subject research, visual inspection is used to calculate the statistical significance (p-value) of an independent variable's effect.
A researcher is conducting a visual inspection of a graph from a single-subject study to determine the effect of an intervention. Match each observation of the data with the corresponding component of visual inspection being applied.
Arrange the following hypothetical outcomes of a visual inspection in order from the pattern that provides the weakest evidence of a treatment effect to the pattern that provides the strongest evidence of a treatment effect.
You are tasked with designing the data analysis protocol for a new single-subject research study. To correctly establish a visual inspection methodology, which of the following procedures should you construct?
Arrange the steps of visual inspection in single-subject research in the correct chronological order, as they are typically performed during data analysis.
A researcher studying a participant's social anxiety observes that the participant initiated 10 conversations per day during the baseline phase and 11 per day during the treatment phase. If the researcher concludes the therapy was ineffective because this slight change was not large enough to be clearly seen on the graph, they are evaluating that the therapy did not have a(n) _____ effect.
In single-subject research, instead of using inferential statistics to evaluate group differences, researchers rely on ____ to analyze graphs of individual participant data and determine the treatment's effectiveness.
A researcher uses an AB design to evaluate the effectiveness of a behavioral intervention on a student's off-task behavior. During the baseline (A) phase, the student's off-task behavior shows a steady, prominent downward trend. When the intervention (B) is introduced, the behavior continues to decrease at the exact same rate. If the researcher concludes through visual inspection that the intervention caused the reduction in off-task behavior because the behavior is lower during the treatment phase than it was at the start of baseline, this application of visual inspection is correct.
In single-subject research, visual inspection requires analyzing specific graphical patterns to determine if a behavior change can be causally attributed to the intervention. Match each visual pattern observed during data analysis with its corresponding methodological implication for drawing causal conclusions.
Learn After
When evaluating the effectiveness of an intervention through visual inspection of data graphs, which combination of patterns is characteristic of an ineffective treatment?
When visually inspecting a single-subject research graph, an intervention is considered highly effective if the data shows the trend continuing unchanged from the baseline phase into the treatment phase.
A researcher is using visual inspection to evaluate the results of a single-subject study. Referencing the provided graphs, match each data pattern to the research scenario that best illustrates it.
Refer to Figure 10.5 (the bottom panel) in the provided image. Rank the following data components from the pattern that provides the STRONGEST evidence of treatment effectiveness in this specific graph to the pattern that provides the WEAKEST evidence.
Suppose you are designing a single-subject research study to evaluate a new behavioral intervention for a student. To ensure that your visual inspection of the data graphs provides the most robust evidence of a functional relationship between the intervention and the behavior, which set of hypothetical data patterns should you aim to produce in the treatment phase relative to the baseline phase?
Match each visual data pattern observed in single-subject research with its implication for the effectiveness of the treatment.
A researcher examines a single-subject data graph and concludes a treatment is effective because the average level of behavior decreased during the treatment phase. This conclusion is flawed because the treatment-phase data appears to be a continuation of the baseline _____, meaning the behavior was already changing before the intervention began.
When evaluating the effectiveness of an intervention in single-subject research, researchers visually inspect the combined patterns of level, trend, and _____ in data graphs.
A school psychologist is evaluating a new token reward system to reduce a student's off-task classroom behavior. During the 5-day baseline phase, the student's off-task behavior steadily declines from 80% to 40%. When the intervention is introduced on Day 6, the off-task behavior continues to decline at the exact same rate, reaching 10% by Day 10.
True or False: Because the average percentage of off-task behavior is lower during the intervention phase than during the baseline phase, visual inspection of this data pattern provides strong evidence that the token reward system was highly effective.
Arrange the following hypothetical single-subject research scenarios in order from the one providing the STRONGEST evidence of treatment effectiveness (Order 1) to the one providing the WEAKEST/NO evidence of treatment effectiveness (Order 4) based on visual inspection of level, trend, and latency.