Multilevel modeling of categorical outcomes using IBM SPSS:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Routledge
2012
|
| Schlagworte: | |
| Beschreibung: | Includes bibliographical references (p. 405-408) and index "Preface Multilevel modeling has become a mainstream data analysis tool over the past decade, now figuring prominently in a range of social and behavioral science disciplines. Where it originally required specialized software, mainstream statistics packages such as IBM SPSS, SAS, and Stata all have included routines for multilevel modeling in their programs. Although some devotees of these statistical packages have been making good use of the relatively new multilevel modeling functionality, progress has been slower in carefully documenting these routines to facilitate meaningful access to the average user. Two years ago we developed Multilevel and Longitudinal Modeling with IBM SPSS to demonstrate how to use these techniques in IBM SPSS Version 18. Our focus was on developing a set of concepts and programming skills within the IBM SPSS environment that could be used to develop, specify, and test a variety of multilevel models with continuous outcomes, since IBM SPSS is a standard analytic tool used in many graduate programs and organizations globally. Our intent was to help readers gain facility in using the IBM SPSS linear-mixed models routine for continuous outcomes. We offered multiple examples of several different types of multilevel models, focusing on how to set up each model and how to interpret the output. At the time, mixed modeling for categorical outcomes was not available in the IBM SPSS software program. Over the past year or so, however, the generalized linear mixed model (GLMM) has been added to the mixed modeling analytic routine in IBM SPSS starting with Version 19. This addition prompted us to create this companion workbook that would focus on introducing readers to the multilevel approach to modeling with categorical outcomes"-- |
| Beschreibung: | 1 Online-Ressource (xvi, 439 p.) |
| ISBN: | 9781848729551 9781848729568 9780203808986 |
Internformat
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| 500 | |a "Preface Multilevel modeling has become a mainstream data analysis tool over the past decade, now figuring prominently in a range of social and behavioral science disciplines. Where it originally required specialized software, mainstream statistics packages such as IBM SPSS, SAS, and Stata all have included routines for multilevel modeling in their programs. Although some devotees of these statistical packages have been making good use of the relatively new multilevel modeling functionality, progress has been slower in carefully documenting these routines to facilitate meaningful access to the average user. Two years ago we developed Multilevel and Longitudinal Modeling with IBM SPSS to demonstrate how to use these techniques in IBM SPSS Version 18. Our focus was on developing a set of concepts and programming skills within the IBM SPSS environment that could be used to develop, specify, and test a variety of multilevel models with continuous outcomes, since IBM SPSS is a standard analytic tool used in many graduate programs and organizations globally. Our intent was to help readers gain facility in using the IBM SPSS linear-mixed models routine for continuous outcomes. We offered multiple examples of several different types of multilevel models, focusing on how to set up each model and how to interpret the output. At the time, mixed modeling for categorical outcomes was not available in the IBM SPSS software program. Over the past year or so, however, the generalized linear mixed model (GLMM) has been added to the mixed modeling analytic routine in IBM SPSS starting with Version 19. This addition prompted us to create this companion workbook that would focus on introducing readers to the multilevel approach to modeling with categorical outcomes"-- | ||
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Datensatz im Suchindex
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| author | Heck, Ronald H. Thomas, Scott Tabata, Lynn N. |
| author_GND | (DE-588)14277250X |
| author_facet | Heck, Ronald H. Thomas, Scott Tabata, Lynn N. |
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| building | Verbundindex |
| bvnumber | BV040888321 |
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| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.285/555 |
| dewey-search | 300.285/555 |
| dewey-sort | 3300.285 3555 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| institution | BVB |
| isbn | 9781848729551 9781848729568 9780203808986 |
| language | English |
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| spelling | Heck, Ronald H. Verfasser (DE-588)14277250X aut Multilevel modeling of categorical outcomes using IBM SPSS Ronald H. Heck, Scott L.Thomas, Lynn N. Tabata New York Routledge 2012 1 Online-Ressource (xvi, 439 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (p. 405-408) and index "Preface Multilevel modeling has become a mainstream data analysis tool over the past decade, now figuring prominently in a range of social and behavioral science disciplines. Where it originally required specialized software, mainstream statistics packages such as IBM SPSS, SAS, and Stata all have included routines for multilevel modeling in their programs. Although some devotees of these statistical packages have been making good use of the relatively new multilevel modeling functionality, progress has been slower in carefully documenting these routines to facilitate meaningful access to the average user. Two years ago we developed Multilevel and Longitudinal Modeling with IBM SPSS to demonstrate how to use these techniques in IBM SPSS Version 18. Our focus was on developing a set of concepts and programming skills within the IBM SPSS environment that could be used to develop, specify, and test a variety of multilevel models with continuous outcomes, since IBM SPSS is a standard analytic tool used in many graduate programs and organizations globally. Our intent was to help readers gain facility in using the IBM SPSS linear-mixed models routine for continuous outcomes. We offered multiple examples of several different types of multilevel models, focusing on how to set up each model and how to interpret the output. At the time, mixed modeling for categorical outcomes was not available in the IBM SPSS software program. Over the past year or so, however, the generalized linear mixed model (GLMM) has been added to the mixed modeling analytic routine in IBM SPSS starting with Version 19. This addition prompted us to create this companion workbook that would focus on introducing readers to the multilevel approach to modeling with categorical outcomes"-- Online-Ausgabe Available via World Wide Web SPSS (Computer file) SPSS for Windows Sozialwissenschaften Psychometrics Psychometrics / Computer programs Social sciences / Computer programs SPSS (DE-588)4056588-9 gnd rswk-swf Kontextanalyse (DE-588)4129240-6 gnd rswk-swf Kategoriale Daten (DE-588)4327512-6 gnd rswk-swf Kontextanalyse (DE-588)4129240-6 s Kategoriale Daten (DE-588)4327512-6 s SPSS (DE-588)4056588-9 s 1\p DE-604 Thomas, Scott Verfasser aut Tabata, Lynn N. Verfasser aut Reproduktion von Heck, Ronald H. Multilevel modeling of categorical outcomes using IBM SPSS 2012 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Heck, Ronald H. Thomas, Scott Tabata, Lynn N. Multilevel modeling of categorical outcomes using IBM SPSS SPSS (Computer file) SPSS for Windows Sozialwissenschaften Psychometrics Psychometrics / Computer programs Social sciences / Computer programs SPSS (DE-588)4056588-9 gnd Kontextanalyse (DE-588)4129240-6 gnd Kategoriale Daten (DE-588)4327512-6 gnd |
| subject_GND | (DE-588)4056588-9 (DE-588)4129240-6 (DE-588)4327512-6 |
| title | Multilevel modeling of categorical outcomes using IBM SPSS |
| title_auth | Multilevel modeling of categorical outcomes using IBM SPSS |
| title_exact_search | Multilevel modeling of categorical outcomes using IBM SPSS |
| title_full | Multilevel modeling of categorical outcomes using IBM SPSS Ronald H. Heck, Scott L.Thomas, Lynn N. Tabata |
| title_fullStr | Multilevel modeling of categorical outcomes using IBM SPSS Ronald H. Heck, Scott L.Thomas, Lynn N. Tabata |
| title_full_unstemmed | Multilevel modeling of categorical outcomes using IBM SPSS Ronald H. Heck, Scott L.Thomas, Lynn N. Tabata |
| title_short | Multilevel modeling of categorical outcomes using IBM SPSS |
| title_sort | multilevel modeling of categorical outcomes using ibm spss |
| topic | SPSS (Computer file) SPSS for Windows Sozialwissenschaften Psychometrics Psychometrics / Computer programs Social sciences / Computer programs SPSS (DE-588)4056588-9 gnd Kontextanalyse (DE-588)4129240-6 gnd Kategoriale Daten (DE-588)4327512-6 gnd |
| topic_facet | SPSS (Computer file) SPSS for Windows Sozialwissenschaften Psychometrics Psychometrics / Computer programs Social sciences / Computer programs SPSS Kontextanalyse Kategoriale Daten |
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