Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1996
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research |
| Beschreibung: | 1 Online-Ressource (XXVIII, 232 p) |
| ISBN: | 9781461239741 9781461284550 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-1-4612-3974-1 |
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Datensatz im Suchindex
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| author | Mueller, Ralph O. |
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| bvnumber | BV042420182 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-3974-1 |
| format | Electronic eBook |
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| isbn | 9781461239741 9781461284550 |
| issn | 1431-875X |
| language | English |
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| spelling | Mueller, Ralph O. Verfasser aut Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS by Ralph O. Mueller New York, NY Springer New York 1996 1 Online-Ressource (XXVIII, 232 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf EQS (DE-588)4359799-3 gnd rswk-swf LISREL (DE-588)4123662-2 gnd rswk-swf EQS (DE-588)4359799-3 s Strukturgleichungsmodell (DE-588)4252999-2 s 1\p DE-604 LISREL (DE-588)4123662-2 s 2\p DE-604 https://doi.org/10.1007/978-1-4612-3974-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Mueller, Ralph O. Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Strukturgleichungsmodell (DE-588)4252999-2 gnd EQS (DE-588)4359799-3 gnd LISREL (DE-588)4123662-2 gnd |
| subject_GND | (DE-588)4252999-2 (DE-588)4359799-3 (DE-588)4123662-2 |
| title | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS |
| title_auth | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS |
| title_exact_search | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS |
| title_full | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS by Ralph O. Mueller |
| title_fullStr | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS by Ralph O. Mueller |
| title_full_unstemmed | Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS by Ralph O. Mueller |
| title_short | Basic Principles of Structural Equation Modeling |
| title_sort | basic principles of structural equation modeling an introduction to lisrel and eqs |
| title_sub | An Introduction to LISREL and EQS |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Strukturgleichungsmodell (DE-588)4252999-2 gnd EQS (DE-588)4359799-3 gnd LISREL (DE-588)4123662-2 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Strukturgleichungsmodell EQS LISREL |
| url | https://doi.org/10.1007/978-1-4612-3974-1 |
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