Cargando…
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 speci...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Guilford Publications
2012
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1616342 |
_version_ | 1780932668719890432 |
---|---|
author | Geiser, Christian |
author_facet | Geiser, Christian |
author_sort | Geiser, Christian |
collection | CERN |
description | 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 an |
id | cern-1616342 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | Guilford Publications |
record_format | invenio |
spelling | cern-16163422021-04-21T22:04:13Zhttp://cds.cern.ch/record/1616342engGeiser, ChristianData analysis with MplusMathematical Physics and Mathematics 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 anGuilford Publicationsoai:cds.cern.ch:16163422012 |
spellingShingle | Mathematical Physics and Mathematics Geiser, Christian Data analysis with Mplus |
title | Data analysis with Mplus |
title_full | Data analysis with Mplus |
title_fullStr | Data analysis with Mplus |
title_full_unstemmed | Data analysis with Mplus |
title_short | Data analysis with Mplus |
title_sort | data analysis with mplus |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1616342 |
work_keys_str_mv | AT geiserchristian dataanalysiswithmplus |