To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant

Summary

To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant is a doctoral thesis^[1].

Key Facts

• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant authored quantifying inferential decision errors to assess whether significance truly is significant — author (P50): James Spencer Abdey^[2].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's instance of is recorded as quantifying inferential decision errors to assess whether significance truly is significant — instance of (P31): doctoral thesis^[3].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's language of work or name is recorded as quantifying inferential decision errors to assess whether significance truly is significant — language of work or name (P407): English^[4].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant was released on 2009^[5].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's work available at URL is recorded as https://researchonline.lse.ac.uk/id/eprint/131140/^[6].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's number of pages is recorded as {'unit': '1', 'amount': '+156'}^[7].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's title is recorded as To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant^[8].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's thesis submitted to is recorded as quantifying inferential decision errors to assess whether significance truly is significant — thesis submitted to (P4101): London School of Economics and Political Science^[9].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's on focus list of Wikimedia project is recorded as quantifying inferential decision errors to assess whether significance truly is significant — on focus list of Wikimedia project (P5008): LSEThesisProject^[10].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's copyright status is recorded as quantifying inferential decision errors to assess whether significance truly is significant — copyright status (P6216): copyrighted^[11].
• To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's online access status is recorded as quantifying inferential decision errors to assess whether significance truly is significant — online access status (P6954): open access^[12].

Body

Designation and Status

To p, or not to p?: quantifying inferential decision errors to assess whether significance truly is significant's instance of is recorded as quantifying inferential decision errors to assess whether significance truly is significant — instance of (P31): doctoral thesis^[3].