LEADER 01625oam  2200505zu 450 
001 9910453955003321
005 20210721054655.0
010   $a1-282-16210-1
010   $a9786612162107
010   $a90-272-9767-3
035   $a(CKB)1000000000551112
035   $a(SSID)ssj0000284782
035   $a(PQKBManifestationID)11222608
035   $a(PQKBTitleCode)TC0000284782
035   $a(PQKBWorkID)10262632
035   $a(PQKB)10972492
035   $a(MiAaPQ)EBC623208
035   $a(EXLCZ)991000000000551112
100   $a20160829d2001      uy              
101 0 $aeng
181   $ctxt
182   $cc
183   $acr
200 00$aText Representation: Linguistic and Psycholinguistic Aspects
210 31$a[Place of publication not identified]$cJohn Benjamins Publishing Company$d2001
225 0 $aHuman cognitive processing Text representation 
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a1-58811-077-X 
311   $a90-272-2360-2 
606   $aDiscourse analysis$xPsychological aspects$vCongresses
606   $aPhilology & Linguistics$2HILCC
606   $aLanguages & Literatures$2HILCC
615  0$aDiscourse analysis$xPsychological aspects
615  7$aPhilology & Linguistics
615  7$aLanguages & Literatures
676   $a401/.41
700   $aSanders$b Ted J.M$0912987
702   $aSanders$b Ted
702   $aSchilperoord$b Joost
702   $aSpooren$b Wilbert
801  0$bPQKB
906   $aBOOK
912   $a9910453955003321
996   $aText Representation: Linguistic and Psycholinguistic Aspects$92045106
997   $aUNINA

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