LEADER 03805nam 2200673 a 450 001 9910791967403321 005 20230126204139.0 010 $a3-11-026770-5 024 7 $a10.1515/9783110267709 035 $a(CKB)2560000000079426 035 $a(EBL)835473 035 $a(OCoLC)772845239 035 $a(SSID)ssj0000592032 035 $a(PQKBManifestationID)11407071 035 $a(PQKBTitleCode)TC0000592032 035 $a(PQKBWorkID)10727767 035 $a(PQKB)11590567 035 $a(MiAaPQ)EBC835473 035 $a(DE-B1597)173598 035 $a(OCoLC)778827020 035 $a(DE-B1597)9783110267709 035 $a(Au-PeEL)EBL835473 035 $a(CaPaEBR)ebr10527876 035 $a(CaONFJC)MIL628137 035 $a(EXLCZ)992560000000079426 100 $a20111005d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultilevel models$b[electronic resource] $eapplications using SAS /$fJichuan Wang, Haiyi Xie, James H. Fischer 210 $aBerlin $cDe Gruyter ;$aBoston $cHigher Education Press$dc2012 215 $a1 online resource (274 p.) 300 $aDescription based upon print version of record. 311 $a1-306-96886-0 311 $a3-11-026759-4 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tPreface / $rWang, Jichuan / Xie, Haiyi / Fisher, James H. -- $tContents -- $tChapter 1. Introduction -- $tChapter 2. Basics of linear multilevel models -- $tChapter 3. Application of two-level linear multilevel models -- $tChapter 4. Application of multilevel modeling to longitudinal data -- $tChapter 5. Multilevel models for discrete outcome measures -- $tChapter 6. Other applications of multilevel modeling and related issues -- $tReferences -- $tIndex 330 $aInterest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or clustered structure. Multilevel models are now applied to a wide range of studies in sociology, population studies, education studies, psychology, economics, epidemiology, and public health. This book covers a broad range of topics about multilevel modeling. The goal of the authors is to help students and researchers who are interested in analysis of multilevel data to understand the basic concepts, theoretical frameworks and application methods of multilevel modeling. The book is written in non-mathematical terms, focusing on the methods and application of various multilevel models, using the internationally widely used statistical software, the Statistics Analysis System (SASŪ). Examples are drawn from analysis of real-world research data. The authors focus on twolevel models in this book because it is most frequently encountered situation in real research. These models can be readily expanded to models with three or more levels when applicable. A wide range of linear and non-linear multilevel models are introduced and demonstrated. 606 $aSocial sciences$xResearch$xMathematical models 606 $aMultilevel models (Statistics) 610 $aMultilevel Model. 610 $aSASŪ. 610 $aStatistics. 615 0$aSocial sciences$xResearch$xMathematical models. 615 0$aMultilevel models (Statistics) 676 $a005.5/5 686 $aSK 850$2rvk 700 $aWang$b Jichuan$0960180 701 $aXie$b Haiyi$01581511 701 $aFischer$b James H$01581512 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791967403321 996 $aMultilevel models$93863031 997 $aUNINA