Artikel

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.

Language
Englisch

Bibliographic citation
Journal: Statistics Surveys ; ISSN: 1935-7516 ; Volume: 14 ; Year: 2020 ; Pages: 71-91 ; Ithaca, NY: Cornell University Library

Classification
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Survey Methods; Sampling Methods
Subject
sampling design
propensity scores
p-values
random sampling
selection bias
inference

Event
Geistige Schöpfung
(who)
Hirschauer, Norbert
Grüner, Sven
Mußhoff, Oliver
Becker, Claudia
Jantsch, Antje
Event
Veröffentlichung
(who)
Cornell University Library
(where)
Ithaca, NY
(when)
2020

DOI
doi:10.1214/20-SS129
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Hirschauer, Norbert
  • Grüner, Sven
  • Mußhoff, Oliver
  • Becker, Claudia
  • Jantsch, Antje
  • Cornell University Library

Time of origin

  • 2020

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