Data Driven Decision Making: Visual Analysis and Treatment Modification

Earn 1.0 General Learning CEU for BCBAs
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  • Module Final Exam

  • Completion Certificate

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$14.00
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1.0 General CEU

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Certificate Included

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Course Description

This asynchronous CEU course equips BCBAs to move beyond surface-level trend-watching and apply the full scope of visual analysis to clinical data. Covering the five core dimensions of visual analysis, common graph interpretation errors, and practical single-case design considerations including guidance from Lanovaz et al. (2019) on replication in real-world clinical settings the course connects data-based decision making directly to payer authorization outcomes. Through case scenarios such as a sawtooth graph data artifact and a full-team data review, participants practice applying these principles to the kinds of ambiguous, real-world data patterns they encounter in caseload review.

What You'll Learn

Identify the five core dimensions of visual analysis: level, trend, variability, immediacy of effect, and overlap Evaluate graphed clinical data to determine whether a treatment modification is warranted Apply single-case design principles, including replication strategies, to real-world clinical service settings Apply visual analysis criteria to assess data readiness for payer submission and identify authorization risk

Course Features

  • 1.0 BCBA Learning CEU
  • 60–75 Minute Runtime
  • Instant Access
  • 10-Question Final Exam
  • Completion Certificate Included
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ACE Provider Information

Provider Name: Online ABA Training
Provider Number: OP-25-12163
Provider Type: Organization
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