In Defense of Fishing
Using an example from animal cognition, I argue that the problems of bias—inherent in choosing null hypotheses or setting Bayesian priors—can sometimes be avoided altogether by collecting more and better observational data before setting up tests of any sort.
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University of Arizona Libraries
2021
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oai:doaj.org-article:89d39bf363564df0a88d7af8af2a7eb62021-11-24T22:41:58ZIn Defense of Fishing2159-785510.2458/jmmss.3063https://doaj.org/article/89d39bf363564df0a88d7af8af2a7eb62021-11-01T00:00:00Zhttps://journals.librarypublishing.arizona.edu/jmmss/article/id/3063/https://journals.librarypublishing.arizona.edu/jmmss/article/3063/galley/3105/download/https://doaj.org/toc/2159-7855Using an example from animal cognition, I argue that the problems of bias—inherent in choosing null hypotheses or setting Bayesian priors—can sometimes be avoided altogether by collecting more and better observational data before setting up tests of any sort.Richard W. ByrneUniversity of Arizona LibrariesarticleSocial sciences (General)H1-99ENJournal of Methods and Measurement in the Social Sciences, Vol 12, Iss 1 (2021) |
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Social sciences (General) H1-99 |
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Social sciences (General) H1-99 Richard W. Byrne In Defense of Fishing |
description |
Using an example from animal cognition, I argue that the problems of bias—inherent in choosing null hypotheses or setting Bayesian priors—can sometimes be avoided altogether by collecting more and better observational data before setting up tests of any sort. |
format |
article |
author |
Richard W. Byrne |
author_facet |
Richard W. Byrne |
author_sort |
Richard W. Byrne |
title |
In Defense of Fishing |
title_short |
In Defense of Fishing |
title_full |
In Defense of Fishing |
title_fullStr |
In Defense of Fishing |
title_full_unstemmed |
In Defense of Fishing |
title_sort |
in defense of fishing |
publisher |
University of Arizona Libraries |
publishDate |
2021 |
url |
https://doaj.org/article/89d39bf363564df0a88d7af8af2a7eb6 |
work_keys_str_mv |
AT richardwbyrne indefenseoffishing |
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