Sentence examples for methodologies and scientific from inspiring English sources
Literature on North-South partnerships is often pessimistic about the prospects for partnership sustainability, with repeated references to pervasive power imbalances in agenda-setting, in funding sources, and in allegiance to methodologies and scientific traditions [ 1- 3].
§ 1502.24 Methodology and scientific accuracy.
midwifery education in many countries has been adapted to the academic system by a stronger focus on research methodology and scientific evidence.
This paper is focused on methodology and scientific interpretations by use of isotopes in heritage science what can be done today, and what may be accomplished in the near future?
When Broomsfield appealed the one charge — she was also found guilty of other child abuse charges — the court concluded that there was a "genuine controversy" about Motherisk's practices, and expressed grave concern over the program's methodology and scientific integrity.
STRICTA are valid reporting guidelines based on robust methodology and scientific content.
Namely, methodology and scientific statements within the Focus dimension, and experimental evidence (E3), evidence by citation (E2) and lack-of-evidence (E0) along the evidence dimension.
The 'Food-based dietary guidelines for public health promotion and prevention of chronic diseases - Methodology and scientific evidence' was drafted by Norwegian experts on nutrition and health; the process leading to the final document included open hearings.
The 'Norwegian guidelines on diet, nutrition and physical activity' are based on the 'Nordic nutrition recommendations 2012' and the 'Food-based dietary guidelines for public health promotion and prevention of chronic diseases - Methodology and scientific evidence', published by the Norwegian Nutrition Council in 2011.
Most dangerously, it has become about the misuse of statistics, data, research methodologies and the scientific method to lend false credibility to decisions that have already been made.
Data scientists no longer turn to statistics, rigorous methodologies and the scientific method to interrogate large datasets they understand deeply and yield findings that have been carefully normalized, scrutinized and verified.
