LEADER 01214nam--2200373---450 001 990000690690203316 005 20210927101721.0 010 $a88-207-1648-8 035 $a0069069 035 $aUSA010069069 035 $a(ALEPH)000069069USA01 035 $a0069069 100 $a20011016d1987----km-y0itay0103----ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> economia politica come scienza morale e sociale$fAlbert O. Hirschman$gcon un saggio di Luca Meldolesi$g[traduzione italiana di Lapo Berti e Rossella Rossini] 210 $aNapoli$cLiguori$d1987 215 $a220 p.$d22 cm 225 2 $aBiblioteca$iStudi sulla modernizzazione e lo sviluppo$v2 300 $aScritti vari 410 $12001$aBiblioteca$iStudi sulla modernizzazione e lo sviluppo$v2 461 1$1001-------$12001 606 0 $aEconomia$xSaggi 676 $a330 700 1$aHIRSCHMAN,$bAlbert O.$0111032 702 1$aMELDOLESI,$bLuca 801 0$aIT$bsalbc$gISBD 912 $a990000690690203316 951 $aX.3.B. 3439(V E COLL 186/9)$b100841 L.M.$cV E COLL 959 $aBK 969 $aUMA 996 $aEconomia politica come scienza morale e sociale$9516590 997 $aUNISA LEADER 02453nam 2200541 450 001 9910555108103321 005 20230126221332.0 010 $a1-119-42272-8 010 $a1-119-42273-6 010 $a1-119-42271-X 035 $a(CKB)4100000009184939 035 $a(MiAaPQ)EBC5892451 035 $a(OCoLC-P)1123181408 035 $a(CaSebORM)9781119422709 035 $a(OCoLC)1123181408 035 $a(EXLCZ)994100000009184939 100 $a20191007d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStructural equation modeling $eapplications using Mplus /$fJichuan Wang, Xiaoqian Wang 205 $aSecond edition. 210 1$aHoboken, New Jersey ;$aChichester, West Sussex, England :$cWiley,$d[2020] 210 4$dİ2020 215 $a1 online resource (537 pages) 225 0 $aWiley series in probability and statistics 311 $a1-119-42270-1 320 $aIncludes bibliographical references and index. 327 $aConfirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling. 330 $aDiscusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--$cProvided by publisher 606 $aStructural equation modeling$xData processing 606 $aMultivariate analysis$xData processing 606 $aSocial sciences$xStatistical methods$xData processing 615 0$aStructural equation modeling$xData processing. 615 0$aMultivariate analysis$xData processing. 615 0$aSocial sciences$xStatistical methods$xData processing. 676 $a300.285 700 $aWang$b Jichuan$0960180 702 $aWang$b Xiaoqian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555108103321 996 $aStructural equation modeling$92818973 997 $aUNINA