• Multiple Baseline Designs

  • Please answer the questions in order. More questions will appear as you answer each question. You can view instructions and examples for each question by hovering your cursor over the question text.

    The final score for the graph, based on your responses, will appear at the bottom after you answer the last question.

  • TIER 1

  • TIER 1 BASELINE: Are there at least 3 data points in baseline for Tier 1 and can you predict the future pattern of the behavior?*
  • TIER 1 TREATMENT: Are there at least 3 data points in treatment for Tier 1 and can you predict the future pattern of the behavior?*
  • TIER 1 PHASE CONTRAST: Project the trend of Tier 1 baseline into the Tier 1 treatment phase. Is the level, trend, or variability of the data in the Tier 1 treatment phase different than what you would predict based on the baseline data for Tier 1?*
  • TIER 1 IMMEDIACY: Is there an immediate change from the last 3-5 data points in baseline to the first 3-5 datapoints in treatment for Tier 1?*
  • TIER 1 OVERLAP: Do less than 30% of the treatment datapoints overlap with the baseline datapoints for Tier 1?*

  • TIER 2

  • TIER 2 BASELINE: Are there at least 3 data points in baseline for Tier 2 and can you predict the future pattern of the behavior?*
  • TIER 2 VERTICAL ANALYSIS: Did the baseline data path of Tier 2 change when the treatment began with Tier 1?*
  • TIER 2 STAGGERED TREATMENT: Was the treatment introduced to Tier 2 AFTER it was introduced to Tier 1?*
  • TIER 2 TREATMENT: Are there at least 3 data points in treatment for Tier 2 and can you predict the future pattern of the behavior?*
  • TIER 2 PHASE CONTRAST: Project the trend of Tier 2 baseline into the treatment phase. Is the level, trend, or variability of the data in the Tier 2 treatment phase different than what you would predict based on the baseline data for Tier 2?*
  • TIER 2 IMMEDIACY: Is there an immediate change from the last 3-5 data points in baseline to the first 3-5 datapoints in treatment for Tier 2?*
  • TIER 2 OVERLAP: Do less than 30% of the treatment datapoints overlap with the baseline datapoints for Tier 2?*
  • CONSISTENCY: Are the data patterns of treatment for Tier 1 and Tier 2 similar in level, trend, or variability?*

  • TIER 3

  • TIER 3 BASELINE: Are there at least 3 data points in baseline for Tier 3 and can you predict the future pattern of the behavior?*
  • TIER 3 VERTICAL ANALYSIS: Did the baseline data path of Tier 3 change when the treatment began with Tier 1 or Tier 2?*
  • TIER 3 STAGGERED TREATMENT: Was the treatment introduced to Tier 3 AFTER it was introduced to Tier 2?*
  • TIER 3 TREATMENT: Are there at least 3 data points in treatment for Tier 3 and can you predict the future pattern of the behavior?*
  • TIER 3 PHASE CONTRAST: Project the trend of Tier 3 baseline into the Tier 3 treatment phase. Is the level, trend, or variability of the data in the Tier 3 treatment phase different than what you would predict based on the baseline data for Tier 3?*
  • TIER 3 IMMEDIACY: Is there an immediate change from the last 3-5 data points in baseline to the first 3-5 datapoints in treatment for Tier 3?*
  • TIER 3 OVERLAP: Do less than 30% of the treatment datapoints overlap with the baseline datapoints for Tier 3?*
  • CONSISTENCY: Are the data patterns of treatment for Tier 1 and Tier 3 similar in level, trend, or variability?*
  • CONSISTENCY: Are the data patterns of treatment for Tier 2 and Tier 3 similar in level, trend, or variability?*
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