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
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Englisch
- Bibliographic citation
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Journal: Statistics Surveys ; ISSN: 1935-7516 ; Volume: 14 ; Year: 2020 ; Pages: 71-91 ; Ithaca, NY: Cornell University Library
- Classification
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Wirtschaft
Econometric and Statistical Methods and Methodology: General
Survey Methods; Sampling Methods
- Subject
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sampling design
propensity scores
p-values
random sampling
selection bias
inference
- Event
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Geistige Schöpfung
- (who)
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Hirschauer, Norbert
Grüner, Sven
Mußhoff, Oliver
Becker, Claudia
Jantsch, Antje
- Event
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Veröffentlichung
- (who)
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Cornell University Library
- (where)
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Ithaca, NY
- (when)
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2020
- DOI
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doi:10.1214/20-SS129
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
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