Latent variable modeling with R:
"This text demonstrates how to conduct latent variable modeling in R. Techniques that can be analyzed using the free program R are showcased including exploratory and confirmatory factor analysis, structural equation modeling (SEM), latent growth curve modeling, item response theory (IRT), and...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York ; London
Routledge
2015
|
| Schlagworte: | |
| Online-Zugang: | DE-578 DE-29 Volltext |
| Zusammenfassung: | "This text demonstrates how to conduct latent variable modeling in R. Techniques that can be analyzed using the free program R are showcased including exploratory and confirmatory factor analysis, structural equation modeling (SEM), latent growth curve modeling, item response theory (IRT), and latent class analysis. Easy to follow demonstrations of how to conduct latent variable modeling in R are provided along with descriptions of the major features of the models,their specialized uses, and a full interpretation of the results. Every R command necessary for conducting the analyses is described so readers can directly apply the R functions to their own data. Each chapter features a complete analysis of one or more example datasets including a demonstration of the analysis of the data using R, along with a discussion of relevant theory that includes a full description of the models, the assumptions underlying each model, and statistical details of estimation, hypothesis testing, and more to help readers better understand the models and interpret the results. Some of the examples represent data that is not perfectly "behaved" so as to provide a more realistic view of situations readers will likely encounter with their own data. Detailed explanations of input statements help readers generalize what they learn to their own analyses. Each chapter features an introduction, summary, and exercises involving the application of the model(s), and a list of further readings with an emphasis on related texts that provide more detailed theoretical coverage. A full glossary of the key terms, a cheat sheet that reviews the key R commands, and answers to half of the exercises are provided at the end of the book".. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (XIII, 321 Seiten) Diagramme |
| ISBN: | 9781315869797 |
| DOI: | 10.4324/9781315869797 |
Internformat
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| 245 | 1 | 0 | |a Latent variable modeling with R |c W. Holmes Finch, Jr. ; Brian F. French |
| 264 | 1 | |a New York ; London |b Routledge |c 2015 | |
| 300 | |a 1 Online-Ressource (XIII, 321 Seiten) |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
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| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "This text demonstrates how to conduct latent variable modeling in R. Techniques that can be analyzed using the free program R are showcased including exploratory and confirmatory factor analysis, structural equation modeling (SEM), latent growth curve modeling, item response theory (IRT), and latent class analysis. Easy to follow demonstrations of how to conduct latent variable modeling in R are provided along with descriptions of the major features of the models,their specialized uses, and a full interpretation of the results. Every R command necessary for conducting the analyses is described so readers can directly apply the R functions to their own data. Each chapter features a complete analysis of one or more example datasets including a demonstration of the analysis of the data using R, along with a discussion of relevant theory that includes a full description of the models, the assumptions underlying each model, and statistical details of estimation, hypothesis testing, and more to help readers better understand the models and interpret the results. Some of the examples represent data that is not perfectly "behaved" so as to provide a more realistic view of situations readers will likely encounter with their own data. Detailed explanations of input statements help readers generalize what they learn to their own analyses. Each chapter features an introduction, summary, and exercises involving the application of the model(s), and a list of further readings with an emphasis on related texts that provide more detailed theoretical coverage. A full glossary of the key terms, a cheat sheet that reviews the key R commands, and answers to half of the exercises are provided at the end of the book".. | ||
| 650 | 7 | |a PSYCHOLOGY / Assessment, Testing & Measurement |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY / Research & Methodology |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY / Statistics |2 bisacsh | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Latent variables | |
| 650 | 4 | |a Latent structure analysis | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 4 | |a PSYCHOLOGY / Assessment, Testing & Measurement | |
| 650 | 4 | |a PSYCHOLOGY / Research & Methodology | |
| 650 | 4 | |a PSYCHOLOGY / Statistics | |
| 700 | 1 | |a French, Brian F. |e Verfasser |0 (DE-588)1074273672 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1812588614912049152 |
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| author | Finch, W. Holmes French, Brian F. |
| author_GND | (DE-588)1058559753 (DE-588)1074273672 |
| author_facet | Finch, W. Holmes French, Brian F. |
| author_role | aut aut |
| author_sort | Finch, W. Holmes |
| author_variant | w h f wh whf b f f bf bff |
| building | Verbundindex |
| bvnumber | BV043817453 |
| callnumber-first | Q - Science |
| callnumber-label | QA278 |
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| callnumber-search | QA278.6 |
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| callnumber-subject | QA - Mathematics |
| classification_rvk | MR 2200 ST 250 |
| collection | ZDB-7-TFC ZDB-4-NLEBK |
| ctrlnum | (OCoLC)964500187 (DE-599)BVBBV043817453 |
| dewey-full | 519.5/35 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/35 |
| dewey-search | 519.5/35 |
| dewey-sort | 3519.5 235 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Soziologie Mathematik |
| doi_str_mv | 10.4324/9781315869797 |
| format | Electronic eBook |
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| id | DE-604.BV043817453 |
| illustrated | Not Illustrated |
| indexdate | 2024-10-11T04:00:08Z |
| institution | BVB |
| isbn | 9781315869797 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029228558 |
| oclc_num | 964500187 |
| open_access_boolean | |
| owner | DE-29 DE-578 DE-11 |
| owner_facet | DE-29 DE-578 DE-11 |
| physical | 1 Online-Ressource (XIII, 321 Seiten) Diagramme |
| psigel | ZDB-7-TFC ZDB-4-NLEBK ZDB-7-TFC UER_Einzelkauf |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Routledge |
| record_format | marc |
| spelling | Finch, W. Holmes Verfasser (DE-588)1058559753 aut Latent variable modeling with R W. Holmes Finch, Jr. ; Brian F. French New York ; London Routledge 2015 1 Online-Ressource (XIII, 321 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "This text demonstrates how to conduct latent variable modeling in R. Techniques that can be analyzed using the free program R are showcased including exploratory and confirmatory factor analysis, structural equation modeling (SEM), latent growth curve modeling, item response theory (IRT), and latent class analysis. Easy to follow demonstrations of how to conduct latent variable modeling in R are provided along with descriptions of the major features of the models,their specialized uses, and a full interpretation of the results. Every R command necessary for conducting the analyses is described so readers can directly apply the R functions to their own data. Each chapter features a complete analysis of one or more example datasets including a demonstration of the analysis of the data using R, along with a discussion of relevant theory that includes a full description of the models, the assumptions underlying each model, and statistical details of estimation, hypothesis testing, and more to help readers better understand the models and interpret the results. Some of the examples represent data that is not perfectly "behaved" so as to provide a more realistic view of situations readers will likely encounter with their own data. Detailed explanations of input statements help readers generalize what they learn to their own analyses. Each chapter features an introduction, summary, and exercises involving the application of the model(s), and a list of further readings with an emphasis on related texts that provide more detailed theoretical coverage. A full glossary of the key terms, a cheat sheet that reviews the key R commands, and answers to half of the exercises are provided at the end of the book".. PSYCHOLOGY / Assessment, Testing & Measurement bisacsh PSYCHOLOGY / Research & Methodology bisacsh PSYCHOLOGY / Statistics bisacsh Statistik Latent variables Latent structure analysis R (Computer program language) PSYCHOLOGY / Assessment, Testing & Measurement PSYCHOLOGY / Research & Methodology PSYCHOLOGY / Statistics French, Brian F. Verfasser (DE-588)1074273672 aut Erscheint auch als Druck-Ausgabe, Hardcover 978-0-415-83244-1 Erscheint auch als Druck-Ausgabe, Paperback 978-0-415-83245-8 https://doi.org/10.4324/9781315869797 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Finch, W. Holmes French, Brian F. Latent variable modeling with R PSYCHOLOGY / Assessment, Testing & Measurement bisacsh PSYCHOLOGY / Research & Methodology bisacsh PSYCHOLOGY / Statistics bisacsh Statistik Latent variables Latent structure analysis R (Computer program language) PSYCHOLOGY / Assessment, Testing & Measurement PSYCHOLOGY / Research & Methodology PSYCHOLOGY / Statistics |
| title | Latent variable modeling with R |
| title_auth | Latent variable modeling with R |
| title_exact_search | Latent variable modeling with R |
| title_full | Latent variable modeling with R W. Holmes Finch, Jr. ; Brian F. French |
| title_fullStr | Latent variable modeling with R W. Holmes Finch, Jr. ; Brian F. French |
| title_full_unstemmed | Latent variable modeling with R W. Holmes Finch, Jr. ; Brian F. French |
| title_short | Latent variable modeling with R |
| title_sort | latent variable modeling with r |
| topic | PSYCHOLOGY / Assessment, Testing & Measurement bisacsh PSYCHOLOGY / Research & Methodology bisacsh PSYCHOLOGY / Statistics bisacsh Statistik Latent variables Latent structure analysis R (Computer program language) PSYCHOLOGY / Assessment, Testing & Measurement PSYCHOLOGY / Research & Methodology PSYCHOLOGY / Statistics |
| topic_facet | PSYCHOLOGY / Assessment, Testing & Measurement PSYCHOLOGY / Research & Methodology PSYCHOLOGY / Statistics Statistik Latent variables Latent structure analysis R (Computer program language) |
| url | https://doi.org/10.4324/9781315869797 |
| work_keys_str_mv | AT finchwholmes latentvariablemodelingwithr AT frenchbrianf latentvariablemodelingwithr |