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Hypothesis Testing and Model Selection in the Social Sciences (2016) by David L Weakliem pdf [Dr Soc]

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  Hypothesis Testing and Model Selection in
the Social Sciences (Methodology in the Social Sciences) by David L. Weakliem PhD
  English | 2016 | ISBN:
1462525652 | 202 pages | PDF | 3 MB
  
  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). 
  
  
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