Multilevel Analysis
A Pratical Introduction
Demographers describe and analyse individual events at multiple levels of observation that range from the individuals themselves to the overall population of interest. In quantitative population studies, one way to streamline investigation is to perform a multilevel statistical analysis using a single model, which improves the accuracy of the estimates and therefore of the results.
To that end, this book guides the reader through the first stages of multilevel analysis, from design to ...
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Note de l’éditeur
This book is an English translation of Manuel pratique d'analyse multiniveau (Paris, INED, 2017), available on OpenEdition.
- Éditeur : Ined Éditions
- Collection : Méthodes et Savoirs
- Lieu d’édition : Paris
- Année d’édition : 2022
- Publication sur OpenEdition Books : 17 février 2022
- EAN électronique : 9782733290538
- DOI : 10.4000/books.ined.17717
Introduction
Analysing Multiple Levels SimultaneouslyChapter 2
Preparing the DatabaseChapter 3
Logistic and Contextual ModelsDemographers describe and analyse individual events at multiple levels of observation that range from the individuals themselves to the overall population of interest. In quantitative population studies, one way to streamline investigation is to perform a multilevel statistical analysis using a single model, which improves the accuracy of the estimates and therefore of the results.
To that end, this book guides the reader through the first stages of multilevel analysis, from design to implementation, with step-by-step explanations on how to navigate the three most common statistical software environments (Stata®, SAS®, and R). Concrete examples based on census data are provided using an analysis of school enrolment in rural Kenya.
Intended for all statistical database users seeking to develop or expand their knowledge of multilevel analysis, this manual details and illustrates the procedures for creating multilevel models and discusses their prerequisites, advantages, and limitations. Suggestions for further reading are also provided.
© Ined Éditions, 2022
Conditions d’utilisation : http://www.openedition.org/6540