LEADER 03041 am 2200733 n 450 001 9910279595503321 005 20180403 010 $a2-84292-945-4 024 7 $a10.4000/books.puv.1222 035 $a(CKB)4100000004910727 035 $a(FrMaCLE)OB-puv-1222 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/51870 035 $a(PPN)228930634 035 $a(EXLCZ)994100000004910727 100 $a20180626j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLittérature et pathologie /$fMax Milner 210 $aSaint-Denis $cPresses universitaires de Vincennes$d2018 215 $a1 online resource (288 p.) 311 $a2-903981-61-2 330 $aLa maladie favorise-t-elle l'écriture ? On l'a cru, soutenu, démontré à certaines époques. Ce qu'il y a de sûr, c'est que l'imaginaire y trouve son compte, les corps bien portants n'ayant pas plus d'histoire que les peuples heureux. Elle constitue un écran de projection sur lequel viennent s'inscrire les hantises individuelles et collectives engendrées par les mutations sociales et les crises de civilisation, un outil extraordinaire de création mythique dont la littérature moderne à usé avec prodigalité, un lieu d'échanges et de métaphores où les concepts et les images circulent entre la biologie, la morale, la politique, la sociologie, l'esthétique. On trouvera dans les contributions ici rassemblées les éléments de ce qui pourrait être, du point de vue de l'art, un « Traité du bon usage des maladies ». 606 $aEthics 606 $aLiterature (General) 606 $amédecine 606 $alittérature 606 $apathologie 610 $amédecine 610 $alittérature 610 $apathologie 615 4$aEthics 615 4$aLiterature (General) 615 4$amédecine 615 4$alittérature 615 4$apathologie 700 $aBriche$b Gérard$01313448 701 $aCabanès$b Jean-Louis$0402579 701 $aCrisafulli Jones$b Lilla Maria$0166144 701 $aDecottignies$b Jean$0199930 701 $aDémoris$b René$0388995 701 $aFortunati$b Vita$034710 701 $aFranci$b Giovanna$039124 701 $aGarguilo$b René$0391209 701 $aGuichardet$b Jeannine$0221025 701 $aLazard$b Madeleine$0166621 701 $aMilner$b Max$0188636 701 $aMinerva$b Nadia$034711 701 $aMullini$b Roberta$0154317 701 $aNakam$b Géralde$0775090 701 $aPellandra$b Carla$0164387 701 $aPetroni$b Liano$0132923 701 $aSaad$b Gabriel$01313449 701 $aSfragaro$b Adriana$01313450 701 $aTizzi$b Alessandra Barbanti$01313451 701 $aVecchi$b Paula$01313452 701 $aMilner$b Max$0188636 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910279595503321 996 $aLittérature et pathologie$93031413 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,$d2015. 210 4$d©2015 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