| Naslov: | New polystochastic statistical inference in social sciences - defining new rules and thresholds |
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| Avtorji: | ID Opić, Siniša (Avtor) |
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| Datoteke: |  RAZ_Opic_Sinisa_2025.pdf (639,05 KB)
MD5: E33ABD693BD277FA7F42A0914EBDE9AB
 https://journals.um.si/index.php/education/article/view/4907
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Znanstveno delo |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | PEF - Pedagoška fakulteta
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| Opis: | The Null Hypothesis Significance Testing (NHST) framework has sparked
considerable debate within the scientific community, leading to numerous studies
advocating for a re-evaluation of the current system. New polystochastic statistical
inference defines methods of statistical inference that integrate rules and
thresholds for both rejecting the null hypothesis and confirming the alternative
hypothesis. This approach unifies the control of respondents' influence on
statistical significance and introduces criteria such as effect size and Bayesian
inference for confirming the alternative hypothesis. Unlike NHST, polystochastic
statistical inference controls Type I error (p-value) and aims to optimize the
confirmation of evidence without increasing the risk of Type II errors. |
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| Ključne besede: | Bayesian, effect size, NHST, p-value, polystochastic, social science, statistical inference |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Datum sprejetja članka: | 25.02.2025 |
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| Datum objave: | 31.03.2025 |
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| Leto izida: | 2025 |
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| Št. strani: | str. 107-124 |
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| Številčenje: | Letn. 18, št. 1 |
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| PID: | 20.500.12556/DKUM-93766  |
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| UDK: | 303:311.21 |
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| COBISS.SI-ID: | 239060739 |
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| DOI: | 10.18690/rei.4907 |
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| ISSN pri članku: | 1855-4431 |
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| Datum objave v DKUM: | 18.07.2025 |
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| Število ogledov: | 179 |
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| Število prenosov: | 10 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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