Are Assumptions of Well-Known Statistical Techniques Checked, and Why (Not)?

Are Assumptions of Well-Known Statistical Techniques Checked, and Why (Not)?

A valid interpretation of most statistical techniques requires that one or more assumptions be met. In published articles, however, little information tends to be reported on whether the data satisfy the assumptions underlying the statistical techniques used. This could be due to self-selection: Only manuscripts with data fulfilling the assumptions are submitted. Another explanation could be th...

Deconstructing Community for Conservation: Why Simple Assumptions are Not Sufficient

Many conservation policies advocate engagement with local people, but conservation practice has sometimes been criticised for a simplistic understanding of communities and social context. To counter this, this paper explores social structuring and its influences on conservation-related behaviours at the site of a conservation intervention near Pipar forest, within the Seti Khola valley, Nepal. ...

medicinal plants and antioxidants: why they are not always beneficial?

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Problematic assumptions have slowed down depression research: why symptoms, not syndromes are the way forward

Major depression (MD) is a highly heterogeneous diagnostic category. Diverse symptoms such as sad mood, anhedonia, and fatigue are routinely added to an unweighted sum-score, and cutoffs are used to distinguish between depressed participants and healthy controls. Researchers then investigate outcome variables like MD risk factors, biomarkers, and treatment response in such samples. These practi...

Some Not Well-Known Manifestations of Riboflavin Deficiency