Work

Can $p$-values be meaningfully interpreted without random sampling?

Year: 2020

Type: article

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.

Source: Statistics Surveys

DOI: 10.1214/20-ss129

Authors: Norbert Hirschauer, Sven Grüner, Oliver Mußhoff, Claudia Becker, Antje Jantsch

Institutions: Martin Luther University Halle-Wittenberg, University of Göttingen, Leibniz Institute of Agricultural Development in Transition Economies

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

Funder: Deutsche Forschungsgemeinschaft

OpenAlex ID: W3000742610