Can p-values be meaningfully interpreted without random sampling?

Besides the inferential errors that abound in the interpretation of p-values, the probabilistic pre-conditions (i.e. random sampling or equivalent) for using them at all are not often met by observational studies in the social sciences. This paper systematizes different sampling designs and discusses the restrictive requirements of data collection that are the indispensable prerequisite for using p-values.

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Year of publication:	2020
Authors:	Hirschauer, Norbert ; Grüner, Sven ; Mußhoff, Oliver ; Becker, Claudia ; Jantsch, Antje
Published in:	Statistics Surveys. - Ithaca, NY : Cornell University Library, ISSN 1935-7516. - Vol. 14.2020, p. 71-91
Publisher:	Ithaca, NY : Cornell University Library
Subject:	sampling design \| propensity scores \| p-values \| random sampling \| selection bias \| inference

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.1214/20-SS129 [DOI] hdl:10419/215709 [Handle] RePEc:zbw:espost:215709 [RePEc]
Classification:	C10 - Econometric and Statistical Methods: General. General ; C83 - Survey Methods; Sampling Methods
Source:	EconStor

Persistent link: https://www.econbiz.de/10012197907