Verfügbarkeit: A beginner's guide to structural equation modeling

A beginner's guide to structural equation modeling:

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Bibliographische Detailangaben
Hauptverfasser:	Schumacker, Randall E. (VerfasserIn), Lomax, Richard G. 1954- (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	New York ; London Routledge [20109
Ausgabe:	Third edition
Schlagworte:	Strukturgleichungsmodell Multivariate Analyse Einführung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	Literaturangaben
Beschreibung:	xx, 510 Seiten Illustrationen, Diagramme
ISBN:	9781841698915 9781841698908

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245	1	0	\|a A beginner's guide to structural equation modeling \|c Randall E. Schumacker (The University of Alabama), Richard G. Lomax (The Ohio State University)
246	1	3	\|a Structural equation modeling
250			\|a Third edition
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Datensatz im Suchindex

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adam_text	Contents About tiiu Authors ........ .........................................xv ľri. fjLĽ ........................................................... ........ χνΐί 1 Introduction ................................... . [ 1 1 W kit Is SI r úctu тн I Equation Modeling ........ ...........2 1.2 Ι h story of Structural l-qudtion Modeling.. .................. 4 1.3 Why С ond ut t Struttura] Eqiutiuit Modeling? ...............6 1.4 blTULtur.il Pqujtion ΜΌ^ι· f Ľng Software Programs .............. H 1.5 Summary ...................................................... Ш Κι1 ture n co s - -....... ............................... .......11 2 Data Lntry and Dat a Editing Issues .................................. ІЗ 2.1 Dat* Entľv.. ............................................14 2.2 ΙλιΙ,ι Editing bsue^ ............................. ........... Ifi 2 2 ΐ -Vieil rin νη-ιρικ Scdfa .................................... IH 2.2 2 Rb?s ri( titm of Клпце ...................................19 2.23 Missing Ιλ -itd ..............................................20 2 24 LISRF] -ntELISMivrtiijţDato Ьхліпрії? ............. 21 2 2.5 Oiillifrs ...............................................27 2.2.-ti Linearity ................................................27 Ξ-2 7 Mon nor m dl ι ty .......................................... 2Н 2..> Su m cil агу ..................................................24 Correlation .................................................................. зд 3.1 hpL-rOï Correliti ¡on Coefbcic-nrs ............................33 3 2 Factors A tf eel ín^ Сл ¡s rekl ion Coefficients ........................35 3-2 1 Level of Meit ü uu1 m eilt und Range ot V.ilut s............ 35 3 22 Noni] nea fit y .............................................36 3.2.3 Misting Udtd................................................ irt 3.2.4 Outlier* ..........................................................19 1.2.5 Corj-fCtioiï юг AttejiLJ.Ttion ............................... 3tì 3.2.6 tmpos]hvÉ Definilo Matrices ...........................40 3.2 7 pimple Size .................................................. -Jl 3-3 BiVLiri.i l· , ftirt, and l jrtiđl Corrddtion? ............................42 3.4 Corre lů tion versus Covan.inte. .......................................46 3.5 V.m.ibk· Metricii ^Stiinddrdizc-d ітіиь Un s Un d d rd ι zod J ___47 3 r> Caubahim Assumptions and Limitations .......................... 4tí 1 7 SinnmJrv .............................................................. 4f References ..................................................................51 iüí 4 SEM Basidi ............................................. ......................55 4.1 ModolSpecitit-atroii ......................................... ........55 4.2 Model identified t ion ........................ .................56 1 1 Model Estimation ..................................................59 4,4 MndoJ Testing- ........................ ............. .........63 4 ? Mode! Mad і ficaţi on ..................................................64 4 ft Summon .......................................................... Ь7 ....................................................................69 5 Model Fit ..........................................................................73 ■i.l Tvpes^ť Model-Fit Criteria .....................................74 5 ] 1 LISKE-1.-SIMPLE Kample..................... ..........77 5 1.1.1 1-i.ïtii .................... .......... ........77 τ 1.1 2 Program ...........................................HO 5.1.1 ì Output. ...............................................81 5.2 Model Fit ....................................................... ....... S5 CJoodness-of-Fit Index fAGFIł ....................... .......86 5.2.3 КооІ-Ме.ш-Ци.ие Residual Index ÍR.VIKJ .................«7 5.3 Madel Comparison ....................................................... SS 5.3.1 [ neke r- Le iv і ч Inder (ILI) .................................. SS τ 3-2 Normixi Fii Inde к f H] and Comparative hit Ітіея (СИ) ........................................................ SS 5 4.1 Fdrsimony NiMTTH d Fit Inde* Í^NFI] ........... .......... 9Q 4.2 Akdike Iniorinatiim Criterion [ML ) ..................... 9D 5.4.3 Snmrn.irv ...................................................... ^l 5.5 ІЛігд meter hit .............................................................92 5 b Power ,ind Sa пір U bi zc ............................................... ^З 5.6.1 Model Fit. ................................................ <4 З.Ь.1.1 Power .............................................. fì ^-ti.1,2 Sample Size ..................................99 5 6-2 Model Com pan son ....................................... life 5-fi 3 ParLinn ti:! bi^nifiCiincc^ ................................... Ill 5.6.4 Summary .............................. ..........- - -Ί3 5 7 Γινο -Step Versus Гоиг-Ѕгер АррпілгЬ to Modeling .............114 5.8 Summary .................................................... ...... Hfr Chapter Footnote ........................................................ ПЯ Standard Errors .............................................................. 11W CíJH /елѓѕ ix b Regression Mudeis. ................................................. 125 d.l OverView .............................................................12h 6.2 An Example ........................................................... ПО 6J Moíifl Specification .............................................. 130 (i.4 Mnitel lítcntitico ţion ............................................... 131 ЬЗ Modd Estimat km ................................................ М h b Moot·! Testing .........................................................133 h~ Model Modifu-Mion ................................................134 6.8 Ѕиттплг) .............................................................. 1 115 fr-ft.l Mea? u π? inen t Кггчг ..........................................136 &ΆΞ Additivo Kąujhon ....................................... Г-Ј Kit>tnote ___......................................................... 138 Model w ĺ th IiHeicepi Teirn ............................ 13ft Ώ9 7 Palh Models ........................................................... 143 7.1 Ли ť x ample .................................................. 144 72 Muddíjpťtiíuľtiífon ................................................ W? ? i Modol Identifici E um............................................... ЇЛО ? 4 MtïJtdl Е^ h m li І ion ................................................ 151 73 Mudťllťstuijí ..................................... ........ 154 7.6 МоЈИ ModitìoitKin ................................................ Î55 7.7 Summary ....................................................156 Apendix; LlbRHL-SlMTI IS Path Model ľro^rdm .................... Tin C. lupter Faotnote .................................................... 15S Annther Traditional N.m-SEM Path Model-hit Index ......... 1?B L1SRE1-SlMPLlSprogntm ................................. ІЇ8 Rt ftrena·?. ............................................................. ...loi S Confirmatory Factor Models ........................................... 163 M I An Hxamplr. - -........................................................ 164 5.2 Model Урсч-ігісйіюл ..................................................166 ft.ì Modi l Identification .............................................. lf>7 S.4 Modd Est i m .i tum ..................................................... 164 ■S. 5 Model Testing ........................................................... 170 tì.b MüdtL Modlficíition ................................................. 1/1 H 7 Summary .........................................................174- Appendix. LlSKKl.-SIMľl.lSCnnfiim-itory Factor Model Program .. .174 Référencer .................................................................. 177 9 Ueiťioping Struct їіїзі hąiiation Models; РаїП .................. .. 179 9 1 Observed Vari-ibldh and Latent Variables ......................... ISO 4.2 Med su rom ľni Model ...................................................... 1S4- Cûttient? x í 13 Multiple Sample, Multiple Сгцир, and Structured Means Mudei? ...........................................................245 J3 I Multiple Sampk Modeb. ................................. ...24? 1............................................................... 247 2 ....................................................... 247 13.2 Multiple Group Modeli. -........................................... 25i) J 3.2 } Scţwrjie Group Mi>drb ................................ 2^1 П.2. 2 Simitar Group Model ................................. 25^ 1323 Chi-Sqüdre Difference Trst ............................... 2ч8 113 Structured Мел us Mudeis ..........................................259 ЈЗ.З ! Model ijpeí-iÍKíttum ¿fid Idi tìtifìcjthm .............. ..25® 13.3 2 ModH ľit ................................................... 2frl 13.3.3 Model Intimation and Testing ............................ 2Ы 13.4 Summary ................................................................263 ing .......................................................... 2ù? Multiplo fid m p Ics ............................................-- 2ò7 Multiple Croup Models ............................................267 Structured Mi ans Models ....................................... 267 Fijotiiüle .......................................................... 14 Second-Order, Пулатіс, and Mu Hi I caí t Mulrímelfiod Models . .271 14.1 Second-Order Factor Model .................................... .271 14.1 1 Model Specification and [Hen tifici tit m ...................271 14.1 2 Modt l Est і man t щ and lt stin^....................... 272 14.2 Оупятк F.iclor Modet ........................................ 274 14.3 M liltitr.iit Mu H і mei h od Mudcl {ML MM) ......... ..... 277 14 11 Model Specification лпеї Iden tint at ion ............... .279 14.3 2 Model hstLmalion and Testing ........................ 2У0 14.3 1 Com-Uted UniqueneÏÏ Mode! ......................... 2Л1 144 Suirnnary .............................................. 286 b{4-(i[id-Order Tactor Models ................................. 24)łł l^namic Ядсіоі Models .......................................... 29Ü MuliLtrdit Miiltimeiliod Models ................................ 29Ü Coi related Lniquen cv. Model ................................ 2V1 15 Multiple Indicator-Multiple Indicator Cause, Mix I u te, and Multilevel Models ...........................................2^3 ¡5.1 Muktplc indicator Multiple- L au.-ie (Ml.MlC) Moficls .......... 243 ľ>.].l Model Speci tied t Łon .ind Ide n t l fičali on ............... .294 15.12 Modeí hst ι million d rid Modť I Testing ................244 4ľ> StriiL-tur.-il Minici .................................................■■■- 186 4.4 Vűnancrí αινλ C.ov.i n ліки Ierras ................................ 1НУ 9.5 Ttto-Stcp/Four-Step Appioadi ...................................191 У 6 Ѕџплтлг) .......................................................- 1У2 s ....................................... —....................- »Л93 1t) Developing Structural Equation Models: Pari 11...................145 Ull Antxamplť ................................................ I^ 102 ModíH bpccifLCdtitm.................................. - -... 197 IU.? Model Identification ___...............................■■ -200 10.4 МінІоі L ili mati on ..........................................202 ΗΊ.3 Modťl kiting ............................................. -.203 ](] 6 Model Mndifir.-iMon ...........................................205 10.7 Summiirv .............................................- -...-207 Appendixe L1SKK1 SrMPLISStrnftLiiíl Еци.ііюл Morici Рго^глт.....2[Ј7 Références .................................. ................ --SOft 11 RepcirliusSENÍ Kehearch: Guidelines and Recommend Plions . .20У 1 1.1 Data l R poialiiiii .............................................- - - 212 11.2 Modťl SpťoficflÍLon .................................... -213 11.3 M(łdtH Tdcmifiodtiun ...................................215 lì 4 Madel Wim ,it ion ....................................... . ..ľib 11.5 M udd Testing... ...................... .............217 [[.6 MoJW Modifkatiim ....................................-- -218 117 Summ.irv ............... ........................ 219 nccí» ........................................................22(1 12 Model Validatiun ...................................... 223 Key Ctmccpls ............................ ....................... 22!î 12.1 Multiple Samples ................................................. - -. .223 12.1.1 Model Λ Computer Output ......................... 22fi 12.1 2 .VHidrì b Computi. ] üuLput.. ....................... ... 227 12.1.3 Modi· I С Comp u 1er Ou tp u (.....................228 12.1 4 Model D ť-omputcť Output ...............................229 IZ.I => Summát], .................................. -.. 2Z4 12.2 Cross Validation .....................................................- -224 122.1 ECVL... ............................. ........... 2М 122.2 CVI .....................................................-- 231 ľ 2.3 Bootstrap ................................................ -^ 12 Ч.1 I KELISG^pliic.-ilUt-rhitert-KC ............. -...234 123,2 LlíJKFI iind TRLLI^ ľrogľ.nľ» Svntax ................ .237 12Λ ïtt Contents H.I 1 Model Modification .....................................297 Goodness-of-l-i t Statistics ......................................297 Measurement Equations .................................... 297 StruL-turjl l-quations ....................................... 29# 15 2 Mixture Models .....................................................298 It 2.1 Model Spocił ica I ion jnd Identification ........................299 í 5.2.2 Model t-st maiion ¿ind Testing ..........................301 15,2.3 Model MtidLfiL d tion ........................................... 3U2 15.2 4 Robusl Statistic .................................................305 15.3 Multilevel Uodeb ......................................................307 15.3.1 Constant brfc-rts ......................................... 313 m.2 lime Effects .....................................................313 15.3.3 Gender htfeeIs ......................................315 15.3.4 M u 11 ilevd Model Interpretation ..............................318 15.3 5 Inträdas. Con elation ........................................319 15.3.6 De iaiii-ť StdtisNí: ...........................................320 15.4 Summary .........................................................320 Suggested Readings .................................................................324 Multiple IndiLd tor-Mul tiple Cause Mudels ................ 324 Mixtuie Models ...... ......................................... 325 Multilevel Models .................................................325 M .............................................................. 325 16 Interaction, Laten I Growth, and Monte Carlo Methods .........327 iJi 1 Interaction Mode-h ................................................. 327 16 1.1 Cate-gol ical Variable Apprtjjt h .............................. 32S 16.1.2 Latent Venable Interact ion Model ..................331 16.1.2.1 Computing I ,itcn( Variable Scores ....... 331 16 1.2 2 Computing Latent Intí-ractian Variable.......533 lň.1 1Ъ ІШегікііоп Model Output ............. 335 16.1.2,4 Model Modification ................................ ц% lb.1 2.5 M uctuml Equations — . o Latent Interaction Variable ..............................336 In.l.l Iwo-Stagc Least Squdres fTSL4) Approach ...............337 16.2 Latent Growth Curve Models .....................................341 16.2.1 L.iieni Growth Curi e Program ........................ 343 16.2 2 Model Modification ................................ 344 16.3 Monte Cd rio Methods .............................................. 3A5 lo. 3.1 PRELÍSSiitiuljtion ot Population Data ........... 34Ď ld Ъ.2 Population Data írom Spet. ifi ed Cova r ia π Le Matrix .........................................352 16 3.2.1 SPSS ApprudLh .................................1^2 16.3.22 SAb Approach ..................................354 16.3.2.3 LI SR E L Approach ............................. 155 Contents xiii 1 ť-* 3. í t m л ґ innre Matrix from Specified Model .......... 3fstJ 16 4 Sum m arv ......................................................... Чѓб Readings.. ...................................... ЉЅ Interaction Moiieb ....................... ...................... 36# Ці trn t Growth-Curve Models ............................... Monte Curio Methods ......................................... 17 Маігіх Approach to Slrufturjl Lqualiuii Modeling ............ У7Ъ 17 I Genera f Ovor iew of Matrix IVntdiion ........................... Ί /Я 17.2 Fri e, Fixed, rtiid С tïTTitraint d Piii.irrufters ..................379 17.? I.ISREI Model Kxampk-in Matrix Notation ................ 3Ö2 UtŕKíľLS Maťrix Гѓпјсглл! ľ.ÍLííf íŕí f Aditeti oaà Conot-iisea}. 345 17 Ί Other Mod ťls in Matrix Notation. -............................. 4Ű0 17.4.1 Pdth Model ..................................................4011 17.42 Mulťp)ä-Sai7iT> eMvaf ..................................41)4 17.4 ? Structured Menus Model ............................. 405 17.4.4 Interaction Modi K ................................... 41ÍJ PRkUS Computer Output .................................... 412 I ÏSREI. Interne li »n Computer Output .........................416 17 ť Summ д ry .......................................................421 ,. -.........................................................423 Appendi^ A: Introduci ion їо Matrix ОреглЦопь ............... ......42.-· Appendix В; Stdlislicpl Table? .......................................434 Answers to Selected Exercises ......,........................................444 Aulhor Index ................................................................. 4K9 Subject Inde* .................................................................. 495
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author	Schumacker, Randall E. Lomax, Richard G. 1954-
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genre_facet	Einführung
id	DE-604.BV035895370
illustrated	Illustrated
indexdate	2024-07-09T22:06:53Z
institution	BVB
isbn	9781841698915 9781841698908
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-018752804
oclc_num	432997184
open_access_boolean
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physical	xx, 510 Seiten Illustrationen, Diagramme
publishDate	2010
publishDateSearch	2010
publishDateSort	2010
publisher	Routledge
record_format	marc
spelling	Schumacker, Randall E. Verfasser (DE-588)1084801493 aut A beginner's guide to structural equation modeling Randall E. Schumacker (The University of Alabama), Richard G. Lomax (The Ohio State University) Structural equation modeling Third edition New York ; London Routledge [20109 xx, 510 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturangaben Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Multivariate Analyse (DE-588)4040708-1 s Strukturgleichungsmodell (DE-588)4252999-2 s 1\p DE-604 DE-604 Lomax, Richard G. 1954- Verfasser (DE-588)108480185X aut Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018752804&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Schumacker, Randall E. Lomax, Richard G. 1954- A beginner's guide to structural equation modeling Strukturgleichungsmodell (DE-588)4252999-2 gnd Multivariate Analyse (DE-588)4040708-1 gnd
subject_GND	(DE-588)4252999-2 (DE-588)4040708-1 (DE-588)4151278-9
title	A beginner's guide to structural equation modeling
title_alt	Structural equation modeling
title_auth	A beginner's guide to structural equation modeling
title_exact_search	A beginner's guide to structural equation modeling
title_full	A beginner's guide to structural equation modeling Randall E. Schumacker (The University of Alabama), Richard G. Lomax (The Ohio State University)
title_fullStr	A beginner's guide to structural equation modeling Randall E. Schumacker (The University of Alabama), Richard G. Lomax (The Ohio State University)
title_full_unstemmed	A beginner's guide to structural equation modeling Randall E. Schumacker (The University of Alabama), Richard G. Lomax (The Ohio State University)
title_short	A beginner's guide to structural equation modeling
title_sort	a beginner s guide to structural equation modeling
topic	Strukturgleichungsmodell (DE-588)4252999-2 gnd Multivariate Analyse (DE-588)4040708-1 gnd
topic_facet	Strukturgleichungsmodell Multivariate Analyse Einführung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018752804&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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