Data analysis with Mplus /:
"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...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English German |
Veröffentlicht: |
New York :
The Guilford Press,
[2013]
|
Schriftenreihe: | Methodology in the social sciences.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "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"-- |
Beschreibung: | 1 online resource (xiii, 305 pages) |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781462507832 1462507832 9781462508280 1462508286 |
Internformat
MARC
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588 | 0 | |a Print version record. | |
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546 | |a In English; translated from German. | ||
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any_adam_object | |
author | Geiser, Christian |
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author_facet | Geiser, Christian |
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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. |
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dewey-search | 519.5/35028553 519.53502855 |
dewey-sort | 3519.5 835028553 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-11-26T14:49:07Z |
institution | BVB |
isbn | 9781462507832 1462507832 9781462508280 1462508286 |
language | English German |
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series | Methodology in the social sciences. |
series2 | Methodology in the social sciences |
spelling | Geiser, Christian. http://id.loc.gov/authorities/names/n2012063593 Datenanalyse mit Mplus. English Data analysis with Mplus / Christian Geiser. New York : The Guilford Press, [2013] ©2013 1 online resource (xiii, 305 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Methodology in the social sciences Includes bibliographical references and index. "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. Print version record. 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. In English; translated from German. Mplus. http://id.loc.gov/authorities/names/n2011042550 Mplus fast Multivariate analysis Data processing. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Computer science. http://id.loc.gov/authorities/subjects/sh89003285 Multivariate Analysis Electronic Data Processing Analyse multivariée Informatique. Analyse multivariée. Informatique. data processing. aat computer science. aat MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Multivariate analysis fast Electronic data processing fast Computer science fast Multivariate analysis Data processing fast has work: Data analysis with Mplus (Text) https://id.oclc.org/worldcat/entity/E39PCFBCrJp4gGXxkVhgwJxBCP https://id.oclc.org/worldcat/ontology/hasWork Print version: Geiser, Christian. Data analysis with Mplus. New York : Guilford Press, ©2013 9781462502455 (DLC) 2012033585 (OCoLC)794362938 Methodology in the social sciences. http://id.loc.gov/authorities/names/n97116200 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=503254 Volltext |
spellingShingle | Geiser, Christian Data analysis with Mplus / Methodology in the social sciences. 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. Mplus. http://id.loc.gov/authorities/names/n2011042550 Mplus fast Multivariate analysis Data processing. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Computer science. http://id.loc.gov/authorities/subjects/sh89003285 Multivariate Analysis Electronic Data Processing Analyse multivariée Informatique. Analyse multivariée. Informatique. data processing. aat computer science. aat MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Multivariate analysis fast Electronic data processing fast Computer science fast Multivariate analysis Data processing fast |
subject_GND | http://id.loc.gov/authorities/names/n2011042550 http://id.loc.gov/authorities/subjects/sh85088390 http://id.loc.gov/authorities/subjects/sh85042288 http://id.loc.gov/authorities/subjects/sh89003285 |
title | Data analysis with Mplus / |
title_alt | Datenanalyse mit Mplus. |
title_auth | Data analysis with Mplus / |
title_exact_search | Data analysis with Mplus / |
title_full | Data analysis with Mplus / Christian Geiser. |
title_fullStr | Data analysis with Mplus / Christian Geiser. |
title_full_unstemmed | Data analysis with Mplus / Christian Geiser. |
title_short | Data analysis with Mplus / |
title_sort | data analysis with mplus |
topic | Mplus. http://id.loc.gov/authorities/names/n2011042550 Mplus fast Multivariate analysis Data processing. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Computer science. http://id.loc.gov/authorities/subjects/sh89003285 Multivariate Analysis Electronic Data Processing Analyse multivariée Informatique. Analyse multivariée. Informatique. data processing. aat computer science. aat MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Multivariate analysis fast Electronic data processing fast Computer science fast Multivariate analysis Data processing fast |
topic_facet | Mplus. Mplus Multivariate analysis Data processing. Multivariate analysis. Electronic data processing. Computer science. Multivariate Analysis Electronic Data Processing Analyse multivariée Informatique. Analyse multivariée. Informatique. data processing. computer science. MATHEMATICS Probability & Statistics Multivariate Analysis. Multivariate analysis Electronic data processing Computer science Multivariate analysis Data processing |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=503254 |
work_keys_str_mv | AT geiserchristian datenanalysemitmplus AT geiserchristian dataanalysiswithmplus |