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Conclusion Validity in Research: Power & Decision Matrix

Explore the significance of conclusion validity in research, focusing on elements like power, threats, and decision matrix. Learn how to assess the relationship between program outcomes and observations. Discover key concepts and factors influencing conclusion validity.

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Conclusion Validity in Research: Power & Decision Matrix

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  1. Conclusion Validity (con’t) • Conclusion validity • Threats to conclusion validity • Power • Decision matrix explained • Mr. Robert Becker -- The decision matrix in action, “The O.J. Simpson Trial.”

  2. Conclusion Validity Is there a relationship between... • What you did and what you saw? • Your program and your observations? Program Observations Program-outcome relationship What you do What you see Observation In this study

  3. Conclusion Validity • The extent to which the research design is sufficiently precise or powerful enough for the detection of effects on the operationalized variable should they exist

  4. Elements of Conclusion Validity • Sufficient power • Reasonable evidence to find that that the cause and effect covary • Significant covariation

  5. Important Concepts Power Threats to Conclusion Validity

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