LEADER 03124 am 22007333u 450 001 9910765830203321 005 20210214062752.0 010 $a1-134-47631-0 010 $a1-134-47632-9 010 $a1-280-28208-8 010 $a9786610282081 010 $a0-203-01801-X 024 7 $a10.4324/9780203018019 035 $a(CKB)1000000000255766 035 $a(EBL)215036 035 $a(OCoLC)437067332 035 $a(SSID)ssj0000389387 035 $a(PQKBManifestationID)11272051 035 $a(PQKBTitleCode)TC0000389387 035 $a(PQKBWorkID)10463806 035 $a(PQKB)10958280 035 $a(MiAaPQ)EBC215036 035 $a(OCoLC)252755299 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/39017 035 $a(EXLCZ)991000000000255766 100 $a20180331d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTruancy $eshort and long-term solutions /$fKen Reid 210 $cTaylor & Francis$d2002 210 1$aLondon ;$aNew York :$cRoutledge,$d2002. 215 $a1 online resource (215 p.) 300 $aDescription based upon print version of record. 311 $a1-138-46625-5 311 $a0-415-27575-X 320 $aIncludes bibliographical references (p. [189]-190) and index. 327 $aHalf-Title; Title; Copyright; Contents; Figures; Acknowledgements; Foreword; Chapter 1 The challenge of truancy and school absenteeism; Chapter 2 Typical schools; Chapter 3 Short-term solutions I; Chapter 4 Short-term solutions II; Chapter 5 Short-term solutions III; Chapter 6 Short-term solutions IV; Chapter 7 Long-term strategic approaches I; Chapter 8 Long-term strategic approaches II; Chapter 9 Parents and parental-condoned absenteeism; Chapter 10 Alternative curriculum schemes; Chapter 11 Mentoring; Chapter 12 The way forward; Bibliography; Index 330 $aTruancy: Short and Long-term Solutions is a practical and accessible guide to dealing with the problem of truancy and non-attendance. It is the first book on the issue to actively focus on solutions to the problem, rather than the causes.Full of practical examples of the latest ways in which schools, teachers, education welfare officers and LEAs try to overcome their attendance difficulties. Ken Reid identifies nearly 120 short-term solutions as well as several long-term strategic approaches. The book also considers parental-condoned absenteeism, alternative curriculum schem 606 $aSchool attendance$zGreat Britain 610 $aeducation 610 $awelfare 610 $aofficers 610 $aspecific 610 $alesson 610 $aabsence 610 $apupil 610 $areferral 610 $aunit 610 $apost-registration 615 0$aSchool attendance 676 $a371.2/94/0941 676 $a371.295 686 $a81.44$2bcl 700 $aReid$b Ken.$0863093 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910765830203321 996 $aTruancy$92947609 997 $aUNINA LEADER 05604nam 2200769 450 001 9910811861203321 005 20230912131141.0 010 $a1-118-95782-2 010 $a1-118-95783-0 035 $a(CKB)3710000000391757 035 $a(EBL)1895808 035 $a(OCoLC)904194680 035 $a(SSID)ssj0001461986 035 $a(PQKBManifestationID)12551069 035 $a(PQKBTitleCode)TC0001461986 035 $a(PQKBWorkID)11478792 035 $a(PQKB)11040724 035 $a(PQKBManifestationID)16051824 035 $a(PQKB)23749949 035 $a(DLC) 2015008108 035 $a(Au-PeEL)EBL1895808 035 $a(CaPaEBR)ebr11041411 035 $a(CaONFJC)MIL770076 035 $a(CaSebORM)9781119993438 035 $a(MiAaPQ)EBC1895808 035 $a(MiAaPQ)EBC4040164 035 $a(PPN)191912093 035 $a(EXLCZ)993710000000391757 100 $a20150416h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMeta-analysis $ea structural equation modeling approach /$fMike W. L. Cheung 205 $a1st edition 210 1$aChichester, England ;$aWest Sussex, England :$cWiley,$d2015. 210 4$dİ2015 215 $a1 online resource (403 p.) 300 $aDescription based upon print version of record. 311 $a1-118-95781-4 311 $a1-119-99343-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a""Cover ""; ""Title Page ""; ""Copyright ""; ""Contents ""; ""Preface ""; ""Acknowledgments ""; ""List of abbreviations ""; ""List of figures ""; ""List of tables ""; ""Chapter 1 Introduction ""; ""1.1 What is meta-analysis? ""; ""1.2 What is structural equation modeling? "" 327 $a""1.3 Reasons for writing a book on meta-analysis and structural equation modeling """"1.3.1 Benefits to users of structural equation modeling and meta-analysis ""; ""1.4 Outline of the following chapters ""; ""1.4.1 Computer examples and data sets used in this book "" 327 $a""1.5 Concluding remarks and further readings """"References ""; ""Chapter 2 Brief review of structural equation modeling ""; ""2.1 Introduction ""; ""2.2 Model specification ""; ""2.2.1 Equations ""; ""2.2.2 Path diagram ""; ""2.2.3 Matrix representation ""; ""2.3 Common structural equation models "" 327 $a""2.3.1 Path analysis """"2.3.2 Confirmatory factor analysis ""; ""2.3.3 Structural equation model ""; ""2.3.4 Latent growth model ""; ""2.3.5 Multiple-group analysis ""; ""2.4 Estimation methods, test statistics, and goodness-of-fit indices ""; ""2.4.1 Maximum likelihood estimation "" 327 $a""2.4.2 Weighted least squares """"2.4.3 Multiple-group analysis ""; ""2.4.4 Likelihood ratio test and Wald test ""; ""2.4.5 Confidence intervals on parameter estimates ""; ""2.4.6 Test statistics versus goodness-of-fit indices ""; ""2.5 Extensions on structural equation modeling "" 327 $a""2.5.1 Phantom variables "" 330 $aPresents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the impo 606 $aStatistics 606 $aMeta-analysis 606 $aResearch$xStatistical methods 606 $aSampling (Statistics) 615 0$aStatistics. 615 0$aMeta-analysis. 615 0$aResearch$xStatistical methods. 615 0$aSampling (Statistics) 676 $a001.4/22 700 $aCheung$b Mike W. L.$01698798 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811861203321 996 $aMeta-analysis$94080539 997 $aUNINA