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Significance testing, interval estimation or Bayesian inference: comments to "Extracting a maximum of useful information from statistical research data" by S. Sohlberg and G. Andersson
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2005 (English)In: Scandinavian Journal of Psychology, ISSN 0036-5564, E-ISSN 1467-9450, Vol. 46, no 1, 79-82 p.Article in journal (Other academic) Published
Abstract [en]

Statistical inference plays an important part in the formation of scientific knowledge in psychology. Starting from a paper by Sohlberg and Andersson (2005; Scandinavian Journal of Psychology, 46, 69-77) these issues are discussed. It is argued that interval estimates are easy to understand and that they are more suitable than significance testing for most problems. Bayesian inference is a coherent description of the information building process. With some examples it is shown that null hypothesis significance testing is full of contradictions. Finally, some other important issues like convenience sampling and model selection are shortly mentioned.

Place, publisher, year, edition, pages
Oxford: Blackwell , 2005. Vol. 46, no 1, 79-82 p.
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-52875DOI: 10.1111/j.1467-9450.2005.00437.xOAI: oai:DiVA.org:su-52875DiVA: diva2:389242
Available from: 2011-01-19 Created: 2011-01-19 Last updated: 2017-12-11Bibliographically approved

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