Wentworth
Institute of Technology
Bayesian Evaluation of Informative Hypotheses
This book presents an alternative for traditional null hypothesis testing. It builds on the idea that researchers usually have more informative research-questions than the "nothing is going on" null hypothesis, or the "something is going on" alternative hypothesis. To be more pre...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2008.
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| Edition: | 1. |
| Series: | Statistics for social and behavioral sciences.
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| Subjects: | |
| Online Access: |
Full text (Wentworth users only). |
Table of Contents:
- A philosophical foundation of null, alternative and informative hypotheses, Jan-Willem Romeijn and Rens van de Schoot
- Famous psychological data sets and hypotheses, Paul Boelen and Herbert Hoijtink
- Sampling the posterior distributions of inequality constrained models, Irene Klugkist and Joris Mulder
- Encompassing priors, Irene Klugkist
- Intrinsic bayes factors, Jim Berger
- Bayes factors without priors, Valen Johnson
- Applications of bayes factors based on differenct prior distributions to classical psychological data sets, Paul Boelen, Floryt van Wesel and Herbert Hoijtink
- The bayes factor versus hypothesis testing using P-values, Susie Bayarri
- The bayes factor versus other model selection criteria, Ming Chen
- Inequality constrained latent class analysis, Herbert Hoijtink
- Inequality constrained multilevel analysis, Bernet Kato and Paul Boelen
- Inequality constrained analysis of contingency tables, Olav Laudy and Paul Boelen
- A philosopher of sciences view on informed hypotheses, Colin Howson
- A psychologists view on informed hypotheses, Marcel van den Hout and Marleen Rijkeboer
- A statisticians view on informed hypotheses, Jay Myung.