Return
Drawing inferences from randomization tests
DOI:10.1016/j.paid.2021.110931.png)
Abstract
En 中文
Randomization tests grew out of permutation tests that were developed in the 1930s. Since then statisticians have expounded upon their nature as well as their various strengths and weaknesses. Uncertainty remains, however, with regard to the types of inferences that can be drawn from randomization tests, if indeed any type of inference can be drawn at all. In this paper we propose that randomization tests can play a role in drawing what are known as abductive inferences and inferences to best explanation from empirical research. Contemporary philosophers of science hold that such inferences are central to scientific reasoning; hence, randomization tests may serve as an effective bridge between the specific realm of statistical inference and the more general realm of scientific inference.
Keywords:
Negative mood regulation expectances
Systematic review
Affect
Coping
Health
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.6
Papers:
1.5W
Citations:
3.6W

