A Unique Comprehensive Learning Experience
Weave together the full fabric of measurement-based care, integrating foundational concepts from previous courses in measurement, the care process, causal inference, and probability.
Integrate a Practical Framework for Clinical Practice
Learn to apply idiographic scales, indicator variables, Bayesian reasoning, causal graphs, and the functional average in real-world scenarios all together.
Robust and Evidence-Based Approach
Understand how to identify causal effects without relying on randomized trials or advanced statistical tools, ensuring clarity and precision in clinical decision-making.
About the Course
This capstone course is designed to elevate your understanding of measurement-based care, emphasizing the integration of key concepts into clinical practice. Dive deep into idiographic measures, Bayesian reasoning, and causal graphs to enhance your ability to provide evidence-based care. Join us on this transformative journey and revolutionize your approach to clinical decision-making.
Meet Your Instructor
Hi, it's Dr. Shane Sparkes again from Wolf & Noble. I'm a social worker first and a methodologist second, and I built these courses because I wanted a form of measurement-based care that is client-centered, easy, rigorous, effective, and transparent. I want providers to feel empowered and more secure in their decision-making, and I want clients to know that their care is effective and their experiences are respected. Rigorous measurement and authentic care can seem like opposites, but in here, we do both, and I'll show you exactly how to use this stuff with the person sitting across from you on Monday. Enroll now and let's advance care together.
Course Curriculum
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1
Chapter 1: Revisiting Measurement Foundations
- 1.1: The Act of Measurement Free preview
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1.2: Why Idiographic Measures Work
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Practice Assignment 1: Measurement Foundations
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Practice Quiz
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2
Chapter 2: The Measurement-Based Care Process
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2.1: The Structure of Care: Assessment, Intervention, Termination
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2.2: Causal Thinking and Directed Acyclic Graphs
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Practice Assignment 2: MBC Process and Causal Thinking
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Practice Quiz
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3
Chapter 3: Probability and Indicators in Practice
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3.1: Probability as a Tool for Clinical Reasoning
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3.2: Indicator Variables: Where Measurement Meets Probability
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Practice Assignment 3: Probability and Indicators, Revisited
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Practice Quiz
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4
Chapter 4: Bayesian Reasoning and Evaluation
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4.1: The Logic of Altering Beliefs
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4.2: Reasoning About the Mean of Indicators
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Practice Assignment 4: Bayesian Reasoning Exercise
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Practice Quiz
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5
Chapter 5: The Treatment Effect Graph and Making Evidence Visible
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5.1: Plotting Treatment Effects Over Time
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5.2: The Treatment Graph as Shared Evidence
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Practice Assignment 5: The Treatment Graph, Revisited
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Practice Quiz
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6
Chapter 6: Causal Inference Made Robust
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6.1: Two Kinds of Average
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6.2: The Outcome Space Revisited
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6.3: Why the Functional Average Is Robust
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6.4: When the Expected and Functional Averages Coincide
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6.5: What This Means for Clinicians
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Practice Assignment 6: Functional Averages and U Variables
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Practice Quiz
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7
Chapter 7: A Complete Clinical Vignette
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7.1: Nadia's Case
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7.2: From Individual Evidence to Public Knowledge
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Practice Assignment 7: Capstone Integration
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Practice Quiz
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8
Conclusion
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Capstone Exam
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References
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Book a Free Consultation
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Ready to Transform Your Clinical Practice?
Enroll now to gain access to a comprehensive learning experience that will enhance your skills and elevate your practice.