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101 0 $aeng
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181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aMultilevel Analysis $eA Practical Introduction /$fArnaud Bringé, Valérie Golaz
210  1$aParis :$cIned Éditions,$d2021.
225 1 $aMéthodes et Savoirs
330   $aDemographers 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.
606   $aPopulation & demography$2bicssc
610   $ademography
610   $aquantitative data
610   $astudy of populations
610   $acomputing
610   $astatistical methodology
610   $amultilevel
615  7$aPopulation & demography
700   $aBringé$b Arnaud$0414057
701   $aGolaz$b Valérie$01290110
801  0$bUkOxU
801  1$bUkOxU
912   $a9910548292803321
996   $aMultilevel Analysis$93388244
997   $aUNINA