DaLiCo Glossary Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree The definitions of terms are based on the discussion within the project group. A list of used resources can be found at https://dalico.info/resources/ This work is licensed under CC BY 4.0 data literacy : Indicates that this term is a “meta-term” meaning it is only used for hierarchical purposes. Deviating from the Thesaurus norm the metaterms below are used to assign references to facets. BT: Broader Term – Indicates the “parent” of the term, in the hierarchical tree structure. BTG: Broder Term Generic - is used when a generic is_a relation between the "parent" of the term exists. The generic relationship is the link between a class or category and its members or species. NT: Narrower Term – Indicates the “child” of the term, in the hierarchical tree structure. NTG: Narrower Term Generic - is used when a generic is_a "child" of relation exists. RT: Related Term – Indicates any terms that are related in meaning or in scope to the term being viewed. USE: Use reference - Indicates that the current terms is "Non-preferred" and that it should not be used for indexing purposes. UF: Used for - references to non-preferred equivalent term(s) Translations of the terms into dutch, german, hungarian and spanish are referenced as specialized UF Relations. UFDE - references the German translation UFES - references the Spanish translation UFHU - references the Hungarian translation UFNE - refernces the Dutch translation If you wish to receive a download in SKOS-format feel free to get in touch with the contact mail. ]]> 2021-08-05 2024-12-03 16:47:19 en-GB Hierarchical Linear ModelingHLMMultilevel ModellingHierarchische Lineare Regressionmodelización lineal jerárquica "Hierarchical linear modeling (HLM) is a particular regression model that is designed to take into account the hierarchical or nested structure of the data. HLM is also known as multi-level modeling, linear mixed-effects model, or covariance components model." Source: Goldstein, A. and Leyland, A. (2001). Multilevel Modelling of health statistics. Series: Wiley series in probability and statistics.  Cited after: Matsuyama, Y. (2013). Hierarchical Linear Modeling (HLM). Gellman, M.D., Turner, J.R. (eds) Encyclopedia of Behavioral Medicine.  Online: https://link.springer.com/referenceworkentry/10.1007/978-1-4419-1005-9_407#:~:text=Definition,Leyland%20%26%20Goldstein%2C%202001).  Hierarchical Linear Modeling 2022-05-09 19:03:26