The Contribution of Latent Semantic Analysis to Multilevel Policy Analysis: The Case of Lifelong Learning Policy (notice n° 568481)

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control field 20250121130903.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Bertrand, Frédéric
Relator term author
245 00 - TITLE STATEMENT
Title The Contribution of Latent Semantic Analysis to Multilevel Policy Analysis: The Case of Lifelong Learning Policy
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2016.<br/>
500 ## - GENERAL NOTE
General note 17
520 ## - SUMMARY, ETC.
Summary, etc. This article demonstrates how latent semantic analysis (LSA) used together with multilevel statistical analysis, provides a methodological framework for analyzing multilevel policies formally from a cognitive perspective. The central assumption underlying the cognitive approach to multilevel policies is that ideas, norms, or values of a higher level may be different from those that structure action at a lower level, but have an influence on them. The proposed method can test this hypothesis by using textual data analysis. This text focuses on vocational training policy as presented through three framework documents related to the implementation of the European Social Fund (ESF) in France in 2007-2013.
786 0# - DATA SOURCE ENTRY
Note Revue internationale de politique comparée | 23 | 1 | 2016-12-09 | p. 7-33 | 1370-0731
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-revue-internationale-de-politique-comparee-2016-1-page-7?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-revue-internationale-de-politique-comparee-2016-1-page-7?lang=en&redirect-ssocas=7080</a>

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