Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives.
Serie / Reihe: Quantitative methodology series
Personen: Heck, Ronald H. Thomas, Scott L.
Standort: BSP
QH 240 H448 (4)
Heck, Ronald H.:
An introduction to multilevel modeling techniques : MLM and SEM approaches / Ronald H. Heck; Scott L. Thomas. - Fourth edition. - New York : Routledge, 2020. - 388 Seiten. - (Quantitative methodology series)
ISBN 978-0-367-18244-1 kartoniert : EUR 62,80
Mathematik. Statistik. Ökonometrie. Unternehmensforschung - Buch