Improving statistical reasoning : theoretical models and practical implications / Peter Sedlmeier.
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Full Text (via EBSCO) |
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| Format: | eBook |
| Language: | English |
| Published: |
Mahwah, N.J. :
Lawrence Erlbaum Associates,
1999.
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Table of Contents:
- 1. Statistical Reasoning: How Good Are We?
- 2. Are People Condemned to Remain Poor Probabilists?
- 3. Prior Training Studies
- 4. What Makes Statistical Training Effective?
- 5. Conjunctive-Probability Training
- 6. Conditional-Probability Training
- 7. Bayesian-Inference Training I
- 8. Bayesian-Inference Training II
- 9. Sample-Size Training I
- 10. A Flexible Urn Model
- 11. Sample-Size Training II
- 12. Implications of Training Results
- 13. Associationist Models of Statistical Reasoning: Architectures and Constraints
- 14. The PASS Model
- 15. Statistical Reasoning: A New Perspective
- App. A. Variations of Bayesian Inference
- App. B. The Law of Large Numbers and Sample-Size Tasks
- App. C. Is There a Future For Null-Hypothesis Testing in Psychology?