Výsledky vyhledávání - "Norbert Hirschauer"

Experienced survey participants, biased responses? – The example of cognitive reflection

Publikováno v: Applied Economics Letters. :1-6

The Cognitive Reflection Test (CRT) is used in behavioral studies to describe individuals as intuitive or reflective. In recent years, behavioral scientists have increasingly recruited participants on online platforms. Besides convenience, apt platfo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcd6c5991bfbab2ce8ef25084cd479f9
https://doi.org/10.1080/13504851.2022.2107982

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SOME THOUGHTS ABOUT STATISTICAL INFERENCE IN THE 21ST CENTURY

Autor: Norbert Hirschauer

This paper shows that the debate on p-values and statistical significance testing addresses one of the most fundamental question of the data-based sciences: how can we learn from data and come to the most reasonable belief (judgement, proposition) re

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https://doi.org/10.31235/osf.io/exdfg

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Inference Using Non-Random Samples? Stop Right There!

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

Publikováno v: Significance. 18:20-24

Statistical inference allows researchers to learn things about a population using only a sample of data from that population. But if it isn't a random sample, inference becomes tricky or outright impossible, as Norbert Hirschauer, Sven Grüner, Olive

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https://doi.org/10.1111/1740-9713.01568

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Unanswered Questions in the p-value Debate

Autor: Norbert Hirschauer

Publikováno v: Significance. 19:42-44

A statement on p-values and statistical significance by the ASA president's task force fails to tackle two crucial questions, says Norbert Hirschauer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::747ebf98ec688f5892f4f80fd94bedf2
https://doi.org/10.1111/1740-9713.01655

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Inferential misconceptions and replication crisis

Autor: Oliver Mußhoff, Sven Gruener, Norbert Hirschauer, Ulrich J. Frey, Peter Wagner, Insa Theesfeld

Publikováno v: Epidemiology, Biostatistics, and Public Health; V. 13 N. 4 (2016)
Epidemiology, Biostatistics, and Public Health; Vol. 13 No. 4 (2016)
Epidemiology, Biostatistics and Public Health; Vol 13, No 4 (2016)
Epidemiology Biostatistics and Public Health, Vol 13, Iss 4 (2016)

Misinterpretations of the p value and the introduction of bias through arbitrary analytical choices have been discussed in the literature for decades. Nonetheless, they seem to have persisted in empirical research, and criticisms of p value misuses h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e2e9cba48225b37c6b48be47aa3ff42
https://riviste.unimi.it/index.php/ebph/article/view/17632

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