In the argument-based validity framework, researchers first formulate an interpretive argument (or a framework to examine a test and provide justification for test interpretation and use), which includes inferences, warrants, assumptions, backing, and rebuttal.
They are the back bone of every parametric statistical method, including inference, modeling, survival, reliability, and others.
The principles philosophers put forward, including inference to the best explanation, principles about coherence and the conservation of belief, and so on, can be assessed and criticized.
This narrower sense of defeasible reasoning, which will be the subject of this article, excludes from the topic the study of other forms of non-deductive reasoning, including inference to the best explanation, abduction, analogical reasoning, and scientific induction.
They include inference based on the sample mean (such as the t-test) and linear regression approaches (such as ordinary least squares, OLS).
The approaches primarily include inference of interactions of CAMs with their targets and related signaling pathways, and interference of the formation and function of invadopodia.
