Can p-values be meaningfully interpreted without random sampling?

Norbert Hirschauer, Sven Grüner, Oliver Musshoff, Claudia Becker and Antje Jantsch
Authors registered in the RePEc Author Service: Sven Gruener

EconStor Open Access Articles and Book Chapters, 2020, vol. 14, 71-91

Abstract: 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.

Keywords: sampling design; propensity scores; p-values; random sampling; selection bias; inference (search for similar items in EconPapers)
JEL-codes: C10 C83 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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https://www.econstor.eu/bitstream/10419/215709/1/Hirschauer_2020_p_values.pdf (application/pdf)

Related works:
Working Paper: Can p-values be meaningfully interpreted without random sampling? (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:215709

DOI: 10.1214/20-SS129

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