Pollard's introduction to the logic and techniques of Bayesian analysis is aimed at evaluation researchers. Although there is increasing interest in the approach among evaluators, most are unaware of what it has to offer. He addresses basic questions such as: What is it? How can it be applied? How is it different from other approaches? What advantages does it offer? Readers are assumed to have familiarity with programme evaluation and a sound knowledge of statistics.
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Introduction
Overview of Classical Methods
Probability and Its Interpretation
Bayes' Theorem
Principles of Bayesian Inference
Normal Means and Variances
Inference in Linear Regression
Inference for Binomial Proportions
Decision Analysis
Summary and Perspective
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