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Statistical Significance Testing in Economics [PDF]
, 2021 The origins of testing scientific models with statistical techniques go back to 18th century mathematics. However, the modern theory of statistical testing was primarily developed through the work of Sir R.A. Fisher, Jerzy Neyman, and Egon Pearson in the
Peden, William +5 more
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Annual Review of Statistics and Its Application, 2020 A broad review is given of the role of statistical significance tests in the analysis of empirical data. Four main types of application are outlined. The first, conceptually quite different from the others, concerns decision making in such contexts as ...
D. Cox
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, 2014 Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson significance-testing approach.
Wilkinson, Mick
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Interpreting "statistical hypothesis testing" results in clinical research
Journal of Ayurveda and Integrative Medicine, 2012 Difference between "Clinical Significance and Statistical Significance" should be kept in mind while interpreting "statistical hypothesis testing" results in clinical research.
Sanjeev B Sarmukaddam
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New tables of Behrens' test of significance
, 1956 The Tables for using Behren's test of significance of the difference between the means of two Normal samples are already available to reasonable accuracy for all cases save those involving very small samples (Statistical Tables, Tables VI, V2).
Healy, M. J. R. +3 more
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Journal of Clinical Epidemiology, 2019 OBJECTIVES Meta-analyses inform clinical practice by summarizing treatment effect estimates based on results from several trials. However, the statistical significance of a meta-analysis (i.e., whether the pooled treatment effect is statistically ...
Ignacio Atal +3 more
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The Clinical Significance of Statistical Significance
The Oncologist, 2008 AbstractLearning ObjectivesAfter completing this course, the reader should be able to: Explain the difference between exploratory (hypothesis-generating) analyses and confirmatory (hypothesis-testing) analyses.Describe why a statistical test result (p-value) only expresses the likelihood that the result could have occurred by chance and does not prove ...
openaire +2 more sources
Phoneme Frequencies in Slovene (Text vs. Dictionary)
Slovenski Jezik - Slovene Linguistic Studies, 2023 In this paper Slovene phoneme frequencies from a Slovene–German learner’s dictionary are analysed. The structure of the dictionary allows the determination of phoneme frequencies on two distinct linguistic levels: the level of dictionary (analysis of ...
Emmerich Kelih, Peter Zörnig
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Statistical Intervals, Not Statistical Significance
, 2019 Convincing practitioners of the inadequacy of significance testing can employ a two‐step approach. First, explain the difference between statistical significance and practical importance.
Necip Doganaksoy +5 more
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A critical analysis of the role of statistical significance testing in education research: With special attention to mathematics education [PDF]
, 2005 This study analyzes the role of statistical significance testing (SST) in education. Although the basic logic underlying SST 一 a hypothesis is rejected because the observed data would be very unlikely if the hypothesis is true 一 appears so obvious that ...
Ng, Yui-kin, Yui-kin Ng,
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