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Can p-values be meaningfully interpreted without random sampling?

delete2020-01-01
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OA
AI
N
Norbert Hirschauer *
S
Sven Gruener
O
Oliver Mußhoff
C
Claudia Becker
A
Antje Jantsch
DOI:10.1214/20-SS129delete
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Abstract

Abstract

En 中文
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

Journal

S
Statistics Surveys
IF:
15.4
Papers:
30
Citations:
1.0K

Organization

M
Martin Luther University Halle Wittenberg
Scholars:
1.1W
Papers: 9.1K
Citations: 103
U
University of Gottingen
Scholars:
2.5W
Papers: 2.1W
Citations: 36
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