Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. - sprookjes - yvandenbroek - TriplyDB

Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

http://www.wikidata.org/entity/Q30912162

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The pervasive avoidance of prospective statistical power: major consequences and practical solutions Significant results: statistical or clinical?The meaning of significance in data testing Misconceptions of the p-value among Chilean and Italian Academic Psychologists Commentary: Continuously cumulating meta-analysis and replicability.Commentary: The Need for Bayesian Hypothesis Testing in Psychological Science.P-values as percentiles. Commentary on: "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations"Retract p < 0.005 and propose using JASP, instead.A Guerilla Guide to Common Problems in 'Neurostatistics': Essential Statistical Topics in Neuroscience.Performing Contrast Analysis in Factorial Designs: From NHST to Confidence Intervals and Beyond.Measures of Difference and Significance in the Era of Computer Simulations, Meta-Analysis, and Big Data

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

http://www.wikidata.org/entity/Q30912162

description

2015 nî lūn-bûn

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2015 թուականի Մարտին հրատարակուած գիտական յօդուած

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2015 թվականի մարտին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

@zh-hant

2015年論文

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2015年論文

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2015年論文

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2015年论文

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name

Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.

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Frontiers in Psychology

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Inductive inference or inductive behavior: Fisher and Neyman-Pearson approaches to statistical testing in psychological research (1940-1960)

Could Fisher, Jeffreys and Neyman Have Agreed on Testing?

Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

Toward evidence-based medical statistics. 1: The P value fallacy.

Null hypothesis significance testing: a review of an old and continuing controversy.

Using Bayes to get the most out of non-significant results

Null hypothesis significance testing. On the survival of a flawed method.

Social science. Publication bias in the social sciences: unlocking the file drawer.

Confidence intervals and tests are two sides of the same research question.

The new statistics: why and how.

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223

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