New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds
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 integrat...
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| Format: | Article |
| Language: | deu |
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University of Maribor Press
2025-03-01
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| Series: | Revija za Elementarno Izobraževanje |
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| Online Access: | https://journals.um.si/index.php/education/article/view/4907 |
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| _version_ | 1849764420777934848 |
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| author | Sinisa Opić |
| author_facet | Sinisa Opić |
| author_sort | Sinisa Opić |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2dc2eee9ad884c74bd7bcbc414b8f1e6 |
| institution | DOAJ |
| issn | 1855-4431 2350-4803 |
| language | deu |
| publishDate | 2025-03-01 |
| publisher | University of Maribor Press |
| record_format | Article |
| series | Revija za Elementarno Izobraževanje |
| spelling | doaj-art-2dc2eee9ad884c74bd7bcbc414b8f1e62025-08-20T03:05:09ZdeuUniversity of Maribor PressRevija za Elementarno Izobraževanje1855-44312350-48032025-03-0118110712410.18690/rei.4907New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and ThresholdsSinisa Opić0University of ZagrebThe 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.https://journals.um.si/index.php/education/article/view/4907bayesianeffect sizenhstp-valuepolystochasticsocial sciencestatistical inference |
| spellingShingle | Sinisa Opić New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds Revija za Elementarno Izobraževanje bayesian effect size nhst p-value polystochastic social science statistical inference |
| title | New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds |
| title_full | New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds |
| title_fullStr | New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds |
| title_full_unstemmed | New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds |
| title_short | New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds |
| title_sort | new polystochastic statistical inference in social sciences defining new rules and thresholds |
| topic | bayesian effect size nhst p-value polystochastic social science statistical inference |
| url | https://journals.um.si/index.php/education/article/view/4907 |
| work_keys_str_mv | AT sinisaopic newpolystochasticstatisticalinferenceinsocialsciencesdefiningnewrulesandthresholds |