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Factor analysis - Healing an ailing model

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ISBN: 9783863951337 Year: Pages: 160 DOI: 10.17875/gup2013-466 Language: English
Publisher: Universitätsverlag Göttingen
Subject: Psychology
Added to DOAB on : 2013-11-23 08:54:16
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Exploratory factor analysis (EFA) is a statistical tool for digging out hidden factors which give rise to the diversity of manifest objectives in psychology, medicine and other sciences. EFA had its heyday as psychologist Leon Thurstone (1935 and 1948) based EFA on what he called the “principle of simple structure” (SS). This principle, however, was erroneous from the beginning what remained unrecognized despite subsequent inventions of more sophisticated statistical tools such as confirmatory analysis and structural equation modeling. These methods are highly recommended today as tolerable routes to model complexities of observation. But they did not remove the harmful errors that SS had left behind. Five chapters in this book demonstrate and explain the trouble. In chapter 2 the ailment of SS is healed by introducing an unconventional factor rotation, called Varimin. Varimin gives variables of an analysis an optimal opportunity to manifest functional interrelations underlying correlational observations. Ten applications of Varimin (in chapter 2) show that its results are superior to results obtained by the conventional Varimax procedure. Further applications are presented for sports achievements (chapter 3), intelligence (chapter 4), and personality (chapter 5). If Varimin keeps on standing the tests new theoretical building blocks will arise together with conceptual networks promoting a better understanding of the domains under study. Readers may check this prognosis by themselves using the statistical tool (Varimin) which is provided by open access in the internet.

Safe to be open - study on the protection of research data and recommendations for access and usage

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ISBN: 9783863951474 Year: DOI: 10.17875/gup2013-160 Language: English
Publisher: Universitätsverlag Göttingen
Subject: Computer Science --- Law
Added to DOAB on : 2016-07-01 11:01:34
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This study addresses the most important legal issues when implementing an open access e-infrastructure for research data. It examines the legal requirements for different kinds of usage of research data in an open access infrastructure, such as OpenAIREplus, which links them to publications. The existing legal framework regarding potentially relevant intellectual property (IP) rights is analysed from the general European perspective as well as from that of selected EU Member States. Various examples and usage scenarios are used to explain the scope of protection of the potentially relevant IP rights. In addition different licence models are analysed in order to identify the licence that is best suited to the aim of open access, especially in the context of the infrastructure of OpenAIREplus. Based on the outcomes of these analyses, some recommendations to the European legislator as well as data- and e-infrastructure providers are given on improving the rights situation in relation to research data.

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