Tools

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001 ocn818846961;

003 OCoLC;

005 20191111104501.0;

006 m o d ;

007 cr cnu---unuuu;

008 121124s2013 nyu ob 001 0 eng d;

019 a| 964746103a| 1013486709;

020 a| 9781462507832q| (electronic bk.);

020 a| 1462507832q| (electronic bk.);

035 a| (Sirsi) o818846961;

035 a| (OCoLC)818846961z| (OCoLC)964746103z| (OCoLC)1013486709;

041 1 a| engh| ger;

049 a| NEHH;

050 4 a| QA278b| .G4513 2013eb;

060 4 a| QA 278;

082 04 a| 519.5/350285532| 23;

082 04 a| 519.53502855;

100 1 a| Geiser, Christian.=| ^A1321457;

240 10 a| Datenanalyse mit Mplus.l| English=| ^A1387220;

245 10 a| Data analysis with Mplus /c| Christian Geiser.;

300 a| 1 online resource (xiii, 305 pages).;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| Methodology in the social sciences;

504 a| Includes bibliographical references and index.;

520 a| "A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus"--c| Provided by publisher.;

588 0 a| Print version record.;

505 0 a| 1. Data Management in SPSS -- 2. Reading Data into Mplus -- 3. Linear Structural Equation Models -- 4. Structural Equation Models for Measuring Variability and Change -- 5. Multilevel Regression Analysis -- 6. Latent Class Analysis -- Appendix A: Summary of Key Mplus Commands Discussed in This Book -- Appendix B: Common Mistakes in the Mplus Input Setup and Troubleshooting -- Appendix C: Further Readings.;

546 a| In English; translated from German.;

630 00 a| Mplus.=| ^A1049940;

650 0 a| Multivariate analysisx| Data processing.=| ^A1133641;

650 2 a| Multivariate Analysis0| (DNLM)D015999=| ^A920485;

650 2 a| Electronic Data Processing0| (DNLM)D001330=| ^A917838;

830 0 a| Methodology in the social sciences.=| ^A406768;

856 40 a| z Direct link to eBooku| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1095057;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL102p| $92.120| HSLo| HJH;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER96o| HJH;

994 a| C0b| NEH;

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998 a| 5202249;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5202249-1001l| HSLELECm| HSLp| $92.12r| Ys| Yt| HGENEBKu| 11/11/2019x| EBOOKz| HERESOURCE0| HSLo| .STAFF. HJH;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5202249-2001l| JNETm| JOYNERr| Ys| Yt| JNE3BKu| 11/11/2019x| EBOOKz| JERESOURCEo| .STAFF. HJH;

Data analysis with Mplus / Christian Geiser.

Author/creator	Geiser, Christian
Format	Electronic
Publication Info	New York : Guilford Press, ©2013.
Description	1 online resource (xiii, 305 pages).
Supplemental Content	https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1095057
Subjects	Mplus. Multivariate analysis--Data processing. Multivariate Analysis Electronic Data Processing

Uniform title	Datenanalyse mit Mplus. English
Series	Methodology in the social sciences Methodology in the social sciences. ^A406768
Contents	1. Data Management in SPSS -- 2. Reading Data into Mplus -- 3. Linear Structural Equation Models -- 4. Structural Equation Models for Measuring Variability and Change -- 5. Multilevel Regression Analysis -- 6. Latent Class Analysis -- Appendix A: Summary of Key Mplus Commands Discussed in This Book -- Appendix B: Common Mistakes in the Mplus Input Setup and Troubleshooting -- Appendix C: Further Readings.
Abstract	"A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Language	In English; translated from German.
Source of description	Print version record.
Issued in other form	Print version: Geiser, Christian. Data analysis with Mplus. New York : Guilford Press, ©2013 9781462502455
ISBN	9781462507832 (electronic bk.)
ISBN	1462507832 (electronic bk.)

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