Results 71 to 80 of about 10,336,836 (232)
The cult of statistical significance. What economists should and should not do to make their data talk [PDF]
This article takes issue with a recent book by Ziliak and McCloskey (2008) of the same title. Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster for empirical research in economics and should therefore be ...
Walter Krämer
core
Against statistical significance testing in corpus linguistics
In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/cllt.2005.1.2.277.
Alexander Koplenig
semanticscholar +1 more source
Sound and Fury: McCloskey and Significance Testing in Economics [PDF]
For about twenty years, Deidre McCloskey has campaigned to convince the economics profession that it is hopelessly confused about statistical significance.
Kevin D. Hoover, Mark V. Siegler
core
Predictive power of statistical significance
A statistically significant research finding should not be defined as a -value of 0.05 or less, because this definition does not take into account study power.
Heston, Thomas F +3 more
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Redefine statistical significance
"We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005.
James Holland Jones +71 more
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When is statistical significance not significant?
The article provides a non-technical introduction to the p value statistics. Its main purpose is to help researchers make sense of the appropriate role of the p value statistics in empirical political science research.
Dalson Britto Figueiredo Filho +6 more
doaj
This article may help the user understand the concept of statistical significance and the meaning of the numbers produced by The Survey System. This article is presented in two parts.
Tenny S, Abdelgawad I.
europepmc +1 more source
Statistical inferential testing
Information on the constituents of rocks, sediments and soil necessarily derive from samples; it is never complete. Inferences drawn from data are uncertain, and the main aim of statistical testing is to attach probabilities to those inferences.
Webster, R.
core +1 more source
Computational analysis of millions of unannotated SNPs from the 1000 Genomes Project may speed up the search for biomedical SNP markers. We combined the analysis of SNPs in the binding sites of ТАТА - binding protein (ТВР) using a previously described W ...
D. A. Rasskazov +7 more
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Statistical Power and Effect Size in Educational and Psychological Research [PDF]
The study aimed at identifying statistical power and effect size in number of published research in Education and Psychology. In addition, discovering how much researchers are committed to provide results with enough requirements to calculate both ...
Faisal Ahmad Abdelfattah
doaj

