02026 a2200325 4500 OB-ined-17717 FrMaCLE 20251214082634.0 cu ||||||m|||| 220216e||||||||xx |||||s|||||||||0|en|d 978-2-7332-9053-8 10.4000/books.ined.17717 doi FR-FrMaCLE eng Bringé, Arnaud Multilevel Analysis : A Pratical Introduction / Arnaud Bringé, Valérie Golaz. Paris : Ined Éditions, 2022. Ebook 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 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. OpenEdition Books License https://www.openedition.org/12554 Demography demography quantitative data study of populations computing statistical methodology multilevel Golaz, Valérie Bringé, Arnaud https://books.openedition.org/ined/17717 Multilevel Analysis 5723 5723