KORELASI PANJANG TUNGKAI DAN DAYA LEDAK OTOTTUNGKAI TERHADAP JAUHNYA HASIL TENDANGANBOLA PADA SISWA EKSTRAKURIKULER SEPAK BOLASMA NEGERI 1 NGRAMBE KABUPATEN NGAWITAHUN 2008/2009

2009/01/01 by John K. Kruschke, Fendri Setia Pambudi · 1 voice · 2 citations
Computer Science · Decision Sciences · Health Professions · Mathematics · Psychology · #Children's Physical and Motor Development #Data Analysis with R #Meta-analysis and systematic reviews #Multimedia Learning Systems #Sports and Physical Education Research #Statistical Methods and Bayesian Inference

paper · pdf · doi:10.1038/s41562-021-01177-7

openalex publication_date 2009/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/31

Abstract

Previous surveys of the literature have shown that reports of statistical analyses often lack important information, causing lack of transparency and failure of reproducibility. Editors and authors agree that guidelines for reporting should be encouraged. This Review presents a set of Bayesian analysis reporting guidelines (BARG). The BARG encompass the features of previous guidelines, while including many additional details for contemporary Bayesian analyses, with explanations. An extensive example of applying the BARG is presented. The BARG should be useful to researchers, authors, reviewers, editors, educators and students. Utilization, endorsement and promotion of the BARG may improve the quality, transparency and reproducibility of Bayesian analyses.

Citations

• Fractional Bayes Factors for Model Comparison
• Computing and Graphing Highest Density Regions
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• The Statistical Crisis in Science
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• Variational Inference: A Review for Statisticians
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• Bayesian statistics and modelling
• Bayes Factors
• Handbook of Markov Chain Monte Carlo
• A simple introduction to Markov Chain Monte–Carlo sampling
• How Do I Know What My Theory Predicts?

Cited by

• BAYAS: simplifying access to Bayesian analysis for biologists
• Publication bias, statistical power and reporting practices in the Journal of Sports Sciences: potential barriers to replicability

Discussions

• Reading through Kruschke's Bayesian Analysis Reporting Guide (2021) and realizing that no journal is ever going to afford me enough space to actually report all this stuff. doi.org/10.1038/s415... [bsky, 0 points, 1 comments]