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Hypothesis Testing and Model Selection in the Social Sciences

✍ Scribed by David L. Weakliem PhD


Publisher
The Guilford Press
Year
2016
Tongue
English
Leaves
218
Series
Methodology in the Social Sciences
Edition
1
Category
Library

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✦ Synopsis


Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.

✦ Subjects


Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;


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