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Workshop „Statistical Modelling of Complex Hierarchical Data”

28.05.2009, 08:30 Uhr - 30.05.2009, 14:30 Uhr

Wu Conference Centre, University of New Brunswick
Fredericton, Kanada
info@ksiresearch.com

http://ksiresearch.com/workshops/Fredericton_HLM_Workshop_Flyer_May_2009.pdfExterner Link

A Workshop by Dr. J. Douglas Willms on Statistical Modelling including Hierarchical Linear Modelling (HLM) and Growth Trajectories. The aim of this course is to familiarize participants with analytic techniques appropriate for analyses of hierarchically structured data, such as data from the Programme for International Student Assessment (PISA) and the National Longitudinal Survey of Children and Youth (NLSCY). The first two days (May 28-29) will be devoted to the basic ideas and applications of hierarchical linear modelling (HLM) including topics such as: Why HLM instead of Ordinary Least Squares Regression? The basic two-level model (e.g. students nested within schools); Examining residuals at the first and second levels; Estimating the effects of group-level characteristics (e.g. school effects); Three-level hierarchical models (e.g., students, schools, countries); Two and three-level logistic regression analyses. A maximum of 30 participants will be enrolled in the workshop.

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Schlagwörter

DATEN, DATENANALYSE, EMPIRISCHE METHODE, HIERARCHISCH-LINEARES MODELL, KANADA, STATISTIK, STATISTISCHE ANALYSE, STATISTISCHES MODELL, WORKSHOP,

Art der Veranstaltung Arbeitsgruppe / Seminar
Veranstalter Dr. J. Douglas Willms, Professor and Director of the Canadian Research Institute for Social Policy at the University of New Brunswick (UNB)
E-Mail des Kontakts info@ksiresearch.com
Beginn der Veranstaltung 28.05.2009, 08:30
Ende der Veranstaltung 30.05.2009, 14:30
Veranstaltungsstätte Wu Conference Centre, University of New Brunswick
Staat Kanada
Tagungssprache Englisch
Relevanz weltweit
Inhaltsbereich der Veranstaltung Hochschule; Wissenschaft/Bildungsforschung
Adressaten Hochschullehrer/innen / Forscher/-innen
Aufgenommen am 03.02.2009
Zuletzt geändert am 03.02.2009

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