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Informative Hypotheses : Theory and Practice for Behavioral and Social Scientists. 情報仮説－行動科学と社会科学のための理論と実際
・ISBN 978-1-4398-8051-7 2011 hard GB£ 124.99
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・ISBN 978-0-367-38222-3 2019 paper GB£ 70.99
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-0-429-06545-3
| 著者・編者 | Hoijtink, Herbert, |
|---|---|
| シリーズ | Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences |
| 出版社 | (Chapman & Hall / CRC, US) |
| ページ数 | 241 pp. |
| 言語 | ENG |
| ニュース番号 | ＜587-301＞ |
解説
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they formulate their expectations in terms of inequality constraints among the parameters in which they are interested, that is, they formulate Informative Hypotheses.
There is currently a sound theoretical foundation for the evaluation of informative hypotheses using Bayes factors, p-values and the generalized order restricted information criterion. Furthermore, software that is often free is available to enable researchers to evaluate the informative hypotheses using their own data. The road is open to challenge the dominance of the null hypothesis for contemporary research in behavioral, social, and other sciences.