Sentence examples for methodological grounds the from inspiring English sources
But this raises further complications because Hume can be read as implying that criticism of the design argument can be generated on strictly Newtonian methodological grounds: the authority of "experience"—to which Hume and Newton both appeal does not license an inference (supported by analogical reasoning) to a God-like designer of the universe.
The structure of the article is as follows: In Section 2, detailed information is provided about the methodological grounds on which the instruction method of the educational platform is based.
But this assumption should be challenged and rejected on methodological grounds in the case of developmental biology.
Their initial publication 1967 that tried to rate life events was criticized on methodological grounds concerning the usefulness of generalized magnitude ratings of life events.
Based on these firm methodological grounds, we submitted the functional maps and the trends to several stakeholders, both in group meetings and personal interviews.
No study was excluded on methodological grounds alone, and the search strategy included all types of study designs, including clinical trials, cross sectional descriptive studies and retrospective surveys.
Nevertheless, we do sometimes have sufficient methodological grounds for positively affirming the existence of certain things.
On the one hand, Collins argues that the decision between these conflicting experimental results could not be made on epistemological or methodological grounds—he claims that the six negative experiments could not legitimately be regarded as replications[7] and hence become less impressive.
Equally importantly, students are also expected to develop a firm methodological grounding in the Study of Religion.
Questioning survey results on methodological grounds is a part of the scientific process and can result in healthy debate.
Another criticism of the athlete-mortality literature is on methodological grounds; more specifically, cross-study discrepancies in the statistical tests and/or measures used.
