FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2496562009> ?p ?o ?g. }

• W2496562009 abstract "In the past decades quantitative studies in social and behavioral sciences have benefitted both in range and depth from the application of statistical methods, more in particular the multivariate analysis (MVA) methods. These methods are called for when assessing quantitative relations between two or more units of analysis. MVA methods have also become increasingly important analytic aids in large-scale bibliometric (i.e. quantitative, scientific literature-based) studies of science and technology. This paper centres on basic possibilities of this analytic toolkit for this type of studies. An introductory non-mathematical overview is presented for important subclasses of MVA methods suitable for the analysis of multivariate bibliometric data. Section 1 starts with a brief general account of the relevance of bibliometric studies followed by argumentation to justify a structured overview of applicable MVA methods in such studies for those who are unfamiliar with MVA. In Section 2 we continue with a sketch of the role of data-analysis methods in general within this type of studies. Section 3 begins by presenting some data, obtained from scanning articles in bibliometrics-oriented journals, to give an indication on the extent of MVA-usage in bibliometric research articles during the last decade. This introduction is followed by a discussion of some basic properties of multivariate data in general and an outline of a conceptual framework of bibliographic information encompassing all general types of multivariate bibliometric data-arrays. Section 4 is used for classification of general classes of MVA methods based on the previously discussed inherent properties of MVA and user-imposed constraints on multivariate data. This section is primairily meant as a preliminary to Section 5 in which we present a classification of MVA methods which figure prominently in bibliometric studies. This is followed by synopses of subclasses of MVA methods and the general types of data they can be applied to. In addition, this structured overview is larded with more recent bibliometric applications of this methods. Subsequently, Section 6 contains an illustrative application of two of the discussed MVA methods, as an addition to the basic data as given in Section 3, thus yielding a more detailed insight in the magnitute and trends with respect to the usage of separate MVA methods in bibliometric studies. Finally, in Section 7 we draw some general conclusions and advance our views on the prospects of MVA in bibliometric S&T-studies." @default.
• W2496562009 created "2016-08-23" @default.
• W2496562009 creator A5037280158 @default.
• W2496562009 creator A5057009278 @default.
• W2496562009 date "1988-01-01" @default.
• W2496562009 modified "2023-09-27" @default.
• W2496562009 title "MULTIVARIATE DATA-ANALYSIS METHODS IN BIBLIOMETRIC STUDIES OF SCIENCE AND TECHNOLOGY" @default.
• W2496562009 cites W1749485691 @default.
• W2496562009 cites W1966798973 @default.
• W2496562009 cites W1969887645 @default.
• W2496562009 cites W1969893044 @default.
• W2496562009 cites W1974172838 @default.
• W2496562009 cites W1976073908 @default.
• W2496562009 cites W1991596242 @default.
• W2496562009 cites W1992724014 @default.
• W2496562009 cites W1993938274 @default.
• W2496562009 cites W2000215628 @default.
• W2496562009 cites W2002193884 @default.
• W2496562009 cites W2005207065 @default.
• W2496562009 cites W2005577180 @default.
• W2496562009 cites W2006034180 @default.
• W2496562009 cites W2007130139 @default.
• W2496562009 cites W2011111873 @default.
• W2496562009 cites W2011555719 @default.
• W2496562009 cites W2012094092 @default.
• W2496562009 cites W2012691952 @default.
• W2496562009 cites W2016555005 @default.
• W2496562009 cites W2025341678 @default.
• W2496562009 cites W2026273736 @default.
• W2496562009 cites W2028674563 @default.
• W2496562009 cites W2034224004 @default.
• W2496562009 cites W2050339731 @default.
• W2496562009 cites W2050846029 @default.
• W2496562009 cites W2051781197 @default.
• W2496562009 cites W2053549370 @default.
• W2496562009 cites W2054118950 @default.
• W2496562009 cites W2057720927 @default.
• W2496562009 cites W2062035457 @default.
• W2496562009 cites W2069134922 @default.
• W2496562009 cites W2070000903 @default.
• W2496562009 cites W2071096576 @default.
• W2496562009 cites W2073608660 @default.
• W2496562009 cites W2094983029 @default.
• W2496562009 cites W2101062768 @default.
• W2496562009 cites W2114101606 @default.
• W2496562009 cites W2124170246 @default.
• W2496562009 cites W2129042566 @default.
• W2496562009 cites W2134398737 @default.
• W2496562009 cites W2157146439 @default.
• W2496562009 cites W2275696275 @default.
• W2496562009 cites W2415210162 @default.
• W2496562009 cites W3133917342 @default.
• W2496562009 cites W614899699 @default.
• W2496562009 doi "https://doi.org/10.1016/b978-0-444-70537-2.50026-x" @default.
• W2496562009 hasPublicationYear "1988" @default.
• W2496562009 type Work @default.
• W2496562009 sameAs 2496562009 @default.
• W2496562009 citedByCount "9" @default.
• W2496562009 countsByYear W24965620092020 @default.
• W2496562009 crossrefType "book-chapter" @default.
• W2496562009 hasAuthorship W2496562009A5037280158 @default.
• W2496562009 hasAuthorship W2496562009A5057009278 @default.
• W2496562009 hasConcept C111472728 @default.
• W2496562009 hasConcept C111919701 @default.
• W2496562009 hasConcept C11413529 @default.
• W2496562009 hasConcept C119857082 @default.
• W2496562009 hasConcept C124101348 @default.
• W2496562009 hasConcept C127413603 @default.
• W2496562009 hasConcept C138885662 @default.
• W2496562009 hasConcept C158154518 @default.
• W2496562009 hasConcept C161584116 @default.
• W2496562009 hasConcept C17744445 @default.
• W2496562009 hasConcept C178315738 @default.
• W2496562009 hasConcept C199539241 @default.
• W2496562009 hasConcept C2522767166 @default.
• W2496562009 hasConcept C2779231336 @default.
• W2496562009 hasConcept C2780129039 @default.
• W2496562009 hasConcept C38180746 @default.
• W2496562009 hasConcept C41008148 @default.
• W2496562009 hasConcept C539667460 @default.
• W2496562009 hasConcept C65059942 @default.
• W2496562009 hasConceptScore W2496562009C111472728 @default.
• W2496562009 hasConceptScore W2496562009C111919701 @default.
• W2496562009 hasConceptScore W2496562009C11413529 @default.
• W2496562009 hasConceptScore W2496562009C119857082 @default.
• W2496562009 hasConceptScore W2496562009C124101348 @default.
• W2496562009 hasConceptScore W2496562009C127413603 @default.
• W2496562009 hasConceptScore W2496562009C138885662 @default.
• W2496562009 hasConceptScore W2496562009C158154518 @default.
• W2496562009 hasConceptScore W2496562009C161584116 @default.
• W2496562009 hasConceptScore W2496562009C17744445 @default.
• W2496562009 hasConceptScore W2496562009C178315738 @default.
• W2496562009 hasConceptScore W2496562009C199539241 @default.
• W2496562009 hasConceptScore W2496562009C2522767166 @default.
• W2496562009 hasConceptScore W2496562009C2779231336 @default.
• W2496562009 hasConceptScore W2496562009C2780129039 @default.
• W2496562009 hasConceptScore W2496562009C38180746 @default.
• W2496562009 hasConceptScore W2496562009C41008148 @default.
• W2496562009 hasConceptScore W2496562009C539667460 @default.
• W2496562009 hasConceptScore W2496562009C65059942 @default.

• next