Improving Statistical Reasoning: Theoretical Models and Practical Implications

Contents: Preface. Statistical Reasoning: How Good Are We? Are People Condemned to Remain Poor Probabilists? Prior Training Studies. What Makes Statistical Training Effective? Conjunctive-Probability Training. Conditional-Probability Training. Bayesian-Inference Training I. Bayesian-Inference Training II. Sample-Size Training I. A Flexible Urn Model. Sample-Size Training II. Implications of Training Results. Associationist Models of Statistical Reasoning: Architectures and Constraints. The PASS Model. Statistical Reasoning: A New Perspective. Appendices: Variations of Bayesian Inference. The Law of Large Numbers and Sample-Size Tasks. Is There a Future for Null-Hypothesis Testing in Psychology?