Decision Making. Clinical v. Statistical Approaches Clinical Based on human judgment Subjective evaluation/case study Qualitative and narrative Sensitive.

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Presentation transcript:

Decision Making

Clinical v. Statistical Approaches Clinical Based on human judgment Subjective evaluation/case study Qualitative and narrative Sensitive to human bias “While I understood statistics, I failed to understand people.” Statistical Based on probability Objective data from large sample sizes Quantitative Sensitive to measurement bias

Why is the “statistical approach” superior? Validity weighting different types of information Units of Measurement combining different types of information Reliability using the same decision rule given same situation Redundancy taking into account redundant information Regression Effects getting closer to the mean the more times you test it

Why do people adhere to clinical approach? Unaware… - of the biases that can affect their decisions - that the statistical approach is available - of how to implement the statistical approach Aware but resistant - False belief in the validity of their judgments - Desire for perfect prediction - Fear of losing “human element, their uniqueness, their jobs