Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/215709
Authors: 
Hirschauer, Norbert
Grüner, Sven
Mußhoff, Oliver
Becker, Claudia
Jantsch, Antje
Year of Publication: 
2020
Citation: 
[Journal:] Statistics Surveys [ISSN:] 1935-7516 [Volume:] 14 [Publisher:] Cornell University Library [Place:] Ithaca, NY [Year:] 2020 [Pages:] 71-91
Publisher: 
Cornell University Library, Ithaca, NY
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.
Subjects: 
sampling design
propensity scores
p-values
random sampling
selection bias
inference
JEL: 
C10
C83
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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