Handbook of Structural Equation Modeling, Second Edition
Herausgeber: Hoyle, Rick H.
Handbook of Structural Equation Modeling, Second Edition
Herausgeber: Hoyle, Rick H.
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In a convenient large-size format, this book presents the first research-based, comprehensive program designed to support high school students with autism spectrum disorder. Developed by the Center on Secondary Education for Students with Autism Spectrum Disorder (CSESA), the program addresses four key areas--literacy, social competence and peer relationships, independence, and transition preparation for students and families. Chapters provide a roadmap for implementation of each component, complete with intervention guidelines, case vignettes, and downloadable reproducible forms. The book…mehr
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In a convenient large-size format, this book presents the first research-based, comprehensive program designed to support high school students with autism spectrum disorder. Developed by the Center on Secondary Education for Students with Autism Spectrum Disorder (CSESA), the program addresses four key areas--literacy, social competence and peer relationships, independence, and transition preparation for students and families. Chapters provide a roadmap for implementation of each component, complete with intervention guidelines, case vignettes, and downloadable reproducible forms. The book also helps readers navigate the wealth of additional resources freely available from CSESA.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Guilford Publications
- 2 ed
- Seitenzahl: 785
- Erscheinungstermin: 31. März 2023
- Englisch
- Abmessung: 237mm x 188mm x 42mm
- Gewicht: 1436g
- ISBN-13: 9781462544646
- ISBN-10: 1462544649
- Artikelnr.: 64170776
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Guilford Publications
- 2 ed
- Seitenzahl: 785
- Erscheinungstermin: 31. März 2023
- Englisch
- Abmessung: 237mm x 188mm x 42mm
- Gewicht: 1436g
- ISBN-13: 9781462544646
- ISBN-10: 1462544649
- Artikelnr.: 64170776
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Rick H. Hoyle, PhD, is Professor of Psychology and Neuroscience and Director of the Center for the Study of Adolescent Risk and Resilience at Duke University. He is a Fellow of the Association for Psychological Science, the American Psychological Association (Divisions 1, 5, 8, and 9), and the Society for Experimental Social Psychology. Dr. Hoyle has written extensively on structural equation modeling and other statistical and methodological strategies for the study of complex social and behavioral processes.
I. Foundations 1. Structural Equation Modeling: An Overview
Rick H. Hoyle 2. A Brief History of Structural Equation Modeling
Ross L. Matsueda 3. The Causal Foundations of Structural Equation Modeling
Judea Pearl 4. Visualizations for Structural Equation Modeling
Jolynn Pek
Erin K. Davisson
& Rick H. Hoyle 5. Latent Variables in Structural Equation Modeling
Kenneth A. Bollen & Rick H. Hoyle 6. Simulation Methods in Structural Equation Modeling
Walter L. Leite
Deborah L. Bandalos
& Zuchao Shen 7. Assumptions in Structural Equation Modeling
Rex B. Kline 8. On the Estimation of Structural Equation Models with Latent Variables
Yunxiao Chen
Irini Moustaki
& Siliang Zhang 9. Power Analysis within a Structural Equation Modeling Framework
Yi Feng & Gregory R. Hancock 10. Model Fit in Structural Equation Modeling
Stephen G. West
Wei Wu
Daniel McNeish
& Andrea Savord 11. Model Selection in Structural Equation Modeling
Kristopher J. Preacher & Haley E. Yaremych 12. Fitting Structural Equation Models with Missing Data
Craig K. Enders 13. Structural Equation Modeling with the Mplus and lavaan Programs
Christian Geiser II. Basic Models and Applications 14. Confirmatory Factor Analysis
Timothy A. Brown 15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators
Natalie A. Koziol 16. Item Parceling in SEM: A Researcher Degree-of-Freedom Ripe for Opportunistic Use
Sonya K. Sterba & Jason D. Rights 17. Using Factor Scores in Structural Equation Modeling
Ines Devlieger & Yves Rosseel 18. Bifactor Measurement Models
Steven P. Reise
Maxwell Mansolf
& Mark G. Haviland 19. Multitrait-Multimethod Models
Michael Eid
Tobias Koch
& Christian Geiser 20. Investigating Measurement Invariance Using Confirmatory Factor Analysis
Keith F. Widaman & Margarita Olivera-Aguilar 21. Flexible Structural Equation Modeling Approaches for Analyzing Means
Marilyn S. Thompson
Yixing Liu
& Samuel B. Green 22. Mediation/Indirect Effects in Structural Equation Modeling
Oscar Gonzalez
Matthew J. Valente
Jeewon Cheong
& David P. MacKinnon 23. Latent Interaction Effects
Augustin Kelava & Holger Brandt 24. Dynamic Moderation with Latent Interactions: General Cross-lagged Panel Models with Interaction Effects Over Time
Michael J. Zyphur & Ozlem Ozkok 25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling
Tenko Raykov 26. Multilevel Structural Equation Modeling
Ronald H. Heck & Tingting Reid III. Specialized and Advanced Models and Applications 27. Exploratory Structural Equation Modeling
Alexandre J. S. Morin 28. Structural Equation Modeling with Small Samples and Many Variables
Katerina M. Marcoulides
Ke-Hai Yuan
& Lifang Deng 29. Mixture Models
Douglas Steinley 30. Latent Curve Modeling of Longitudinal Growth Data
Kevin J. Grimm & John J. McArdle 31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling
Multilevel Modeling
and Structural Equation Modeling
Ellen L. Hamaker
Tihomir Asparouhov
& Bengt Muthén 32. Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models
Sy-Miin Chow
Diane Losardo
Jonathan Park
& Peter C. M. Molenaar 33. Latent Trait-State Models
David A. Cole & Qimin Liu 34. Longitudinal Models for Assessing Dynamics in Dyadic Data
Meng Chen
Hairong Song
& Emilio Ferrer 35. Structural Equation Modeling in Genetics
Susanne Bruins
Sanja Frani¿
Conor V. Dolan
Denny Borsboom
& Dorret I. Boomsma 36. Structural Equation Modeling (SEM)-Based Meta-Analysis
Mike W.-L. Cheung 37. Nonlinear Structural Equation Models: Advanced Methods and Applications
Jeffrey R. Harring & Jinwang Zou 38. Foundations and Extensions of Bayesian Structural Equation Modeling
Sarah Depaoli
David Kaplan
& Sonja D. Winter 39. Machine Learning Approaches to Structural Equation Modeling
Andreas M. Brandmaier & Ross C. Jacobucci
Rick H. Hoyle 2. A Brief History of Structural Equation Modeling
Ross L. Matsueda 3. The Causal Foundations of Structural Equation Modeling
Judea Pearl 4. Visualizations for Structural Equation Modeling
Jolynn Pek
Erin K. Davisson
& Rick H. Hoyle 5. Latent Variables in Structural Equation Modeling
Kenneth A. Bollen & Rick H. Hoyle 6. Simulation Methods in Structural Equation Modeling
Walter L. Leite
Deborah L. Bandalos
& Zuchao Shen 7. Assumptions in Structural Equation Modeling
Rex B. Kline 8. On the Estimation of Structural Equation Models with Latent Variables
Yunxiao Chen
Irini Moustaki
& Siliang Zhang 9. Power Analysis within a Structural Equation Modeling Framework
Yi Feng & Gregory R. Hancock 10. Model Fit in Structural Equation Modeling
Stephen G. West
Wei Wu
Daniel McNeish
& Andrea Savord 11. Model Selection in Structural Equation Modeling
Kristopher J. Preacher & Haley E. Yaremych 12. Fitting Structural Equation Models with Missing Data
Craig K. Enders 13. Structural Equation Modeling with the Mplus and lavaan Programs
Christian Geiser II. Basic Models and Applications 14. Confirmatory Factor Analysis
Timothy A. Brown 15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators
Natalie A. Koziol 16. Item Parceling in SEM: A Researcher Degree-of-Freedom Ripe for Opportunistic Use
Sonya K. Sterba & Jason D. Rights 17. Using Factor Scores in Structural Equation Modeling
Ines Devlieger & Yves Rosseel 18. Bifactor Measurement Models
Steven P. Reise
Maxwell Mansolf
& Mark G. Haviland 19. Multitrait-Multimethod Models
Michael Eid
Tobias Koch
& Christian Geiser 20. Investigating Measurement Invariance Using Confirmatory Factor Analysis
Keith F. Widaman & Margarita Olivera-Aguilar 21. Flexible Structural Equation Modeling Approaches for Analyzing Means
Marilyn S. Thompson
Yixing Liu
& Samuel B. Green 22. Mediation/Indirect Effects in Structural Equation Modeling
Oscar Gonzalez
Matthew J. Valente
Jeewon Cheong
& David P. MacKinnon 23. Latent Interaction Effects
Augustin Kelava & Holger Brandt 24. Dynamic Moderation with Latent Interactions: General Cross-lagged Panel Models with Interaction Effects Over Time
Michael J. Zyphur & Ozlem Ozkok 25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling
Tenko Raykov 26. Multilevel Structural Equation Modeling
Ronald H. Heck & Tingting Reid III. Specialized and Advanced Models and Applications 27. Exploratory Structural Equation Modeling
Alexandre J. S. Morin 28. Structural Equation Modeling with Small Samples and Many Variables
Katerina M. Marcoulides
Ke-Hai Yuan
& Lifang Deng 29. Mixture Models
Douglas Steinley 30. Latent Curve Modeling of Longitudinal Growth Data
Kevin J. Grimm & John J. McArdle 31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling
Multilevel Modeling
and Structural Equation Modeling
Ellen L. Hamaker
Tihomir Asparouhov
& Bengt Muthén 32. Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models
Sy-Miin Chow
Diane Losardo
Jonathan Park
& Peter C. M. Molenaar 33. Latent Trait-State Models
David A. Cole & Qimin Liu 34. Longitudinal Models for Assessing Dynamics in Dyadic Data
Meng Chen
Hairong Song
& Emilio Ferrer 35. Structural Equation Modeling in Genetics
Susanne Bruins
Sanja Frani¿
Conor V. Dolan
Denny Borsboom
& Dorret I. Boomsma 36. Structural Equation Modeling (SEM)-Based Meta-Analysis
Mike W.-L. Cheung 37. Nonlinear Structural Equation Models: Advanced Methods and Applications
Jeffrey R. Harring & Jinwang Zou 38. Foundations and Extensions of Bayesian Structural Equation Modeling
Sarah Depaoli
David Kaplan
& Sonja D. Winter 39. Machine Learning Approaches to Structural Equation Modeling
Andreas M. Brandmaier & Ross C. Jacobucci
I. Foundations 1. Structural Equation Modeling: An Overview
Rick H. Hoyle 2. A Brief History of Structural Equation Modeling
Ross L. Matsueda 3. The Causal Foundations of Structural Equation Modeling
Judea Pearl 4. Visualizations for Structural Equation Modeling
Jolynn Pek
Erin K. Davisson
& Rick H. Hoyle 5. Latent Variables in Structural Equation Modeling
Kenneth A. Bollen & Rick H. Hoyle 6. Simulation Methods in Structural Equation Modeling
Walter L. Leite
Deborah L. Bandalos
& Zuchao Shen 7. Assumptions in Structural Equation Modeling
Rex B. Kline 8. On the Estimation of Structural Equation Models with Latent Variables
Yunxiao Chen
Irini Moustaki
& Siliang Zhang 9. Power Analysis within a Structural Equation Modeling Framework
Yi Feng & Gregory R. Hancock 10. Model Fit in Structural Equation Modeling
Stephen G. West
Wei Wu
Daniel McNeish
& Andrea Savord 11. Model Selection in Structural Equation Modeling
Kristopher J. Preacher & Haley E. Yaremych 12. Fitting Structural Equation Models with Missing Data
Craig K. Enders 13. Structural Equation Modeling with the Mplus and lavaan Programs
Christian Geiser II. Basic Models and Applications 14. Confirmatory Factor Analysis
Timothy A. Brown 15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators
Natalie A. Koziol 16. Item Parceling in SEM: A Researcher Degree-of-Freedom Ripe for Opportunistic Use
Sonya K. Sterba & Jason D. Rights 17. Using Factor Scores in Structural Equation Modeling
Ines Devlieger & Yves Rosseel 18. Bifactor Measurement Models
Steven P. Reise
Maxwell Mansolf
& Mark G. Haviland 19. Multitrait-Multimethod Models
Michael Eid
Tobias Koch
& Christian Geiser 20. Investigating Measurement Invariance Using Confirmatory Factor Analysis
Keith F. Widaman & Margarita Olivera-Aguilar 21. Flexible Structural Equation Modeling Approaches for Analyzing Means
Marilyn S. Thompson
Yixing Liu
& Samuel B. Green 22. Mediation/Indirect Effects in Structural Equation Modeling
Oscar Gonzalez
Matthew J. Valente
Jeewon Cheong
& David P. MacKinnon 23. Latent Interaction Effects
Augustin Kelava & Holger Brandt 24. Dynamic Moderation with Latent Interactions: General Cross-lagged Panel Models with Interaction Effects Over Time
Michael J. Zyphur & Ozlem Ozkok 25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling
Tenko Raykov 26. Multilevel Structural Equation Modeling
Ronald H. Heck & Tingting Reid III. Specialized and Advanced Models and Applications 27. Exploratory Structural Equation Modeling
Alexandre J. S. Morin 28. Structural Equation Modeling with Small Samples and Many Variables
Katerina M. Marcoulides
Ke-Hai Yuan
& Lifang Deng 29. Mixture Models
Douglas Steinley 30. Latent Curve Modeling of Longitudinal Growth Data
Kevin J. Grimm & John J. McArdle 31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling
Multilevel Modeling
and Structural Equation Modeling
Ellen L. Hamaker
Tihomir Asparouhov
& Bengt Muthén 32. Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models
Sy-Miin Chow
Diane Losardo
Jonathan Park
& Peter C. M. Molenaar 33. Latent Trait-State Models
David A. Cole & Qimin Liu 34. Longitudinal Models for Assessing Dynamics in Dyadic Data
Meng Chen
Hairong Song
& Emilio Ferrer 35. Structural Equation Modeling in Genetics
Susanne Bruins
Sanja Frani¿
Conor V. Dolan
Denny Borsboom
& Dorret I. Boomsma 36. Structural Equation Modeling (SEM)-Based Meta-Analysis
Mike W.-L. Cheung 37. Nonlinear Structural Equation Models: Advanced Methods and Applications
Jeffrey R. Harring & Jinwang Zou 38. Foundations and Extensions of Bayesian Structural Equation Modeling
Sarah Depaoli
David Kaplan
& Sonja D. Winter 39. Machine Learning Approaches to Structural Equation Modeling
Andreas M. Brandmaier & Ross C. Jacobucci
Rick H. Hoyle 2. A Brief History of Structural Equation Modeling
Ross L. Matsueda 3. The Causal Foundations of Structural Equation Modeling
Judea Pearl 4. Visualizations for Structural Equation Modeling
Jolynn Pek
Erin K. Davisson
& Rick H. Hoyle 5. Latent Variables in Structural Equation Modeling
Kenneth A. Bollen & Rick H. Hoyle 6. Simulation Methods in Structural Equation Modeling
Walter L. Leite
Deborah L. Bandalos
& Zuchao Shen 7. Assumptions in Structural Equation Modeling
Rex B. Kline 8. On the Estimation of Structural Equation Models with Latent Variables
Yunxiao Chen
Irini Moustaki
& Siliang Zhang 9. Power Analysis within a Structural Equation Modeling Framework
Yi Feng & Gregory R. Hancock 10. Model Fit in Structural Equation Modeling
Stephen G. West
Wei Wu
Daniel McNeish
& Andrea Savord 11. Model Selection in Structural Equation Modeling
Kristopher J. Preacher & Haley E. Yaremych 12. Fitting Structural Equation Models with Missing Data
Craig K. Enders 13. Structural Equation Modeling with the Mplus and lavaan Programs
Christian Geiser II. Basic Models and Applications 14. Confirmatory Factor Analysis
Timothy A. Brown 15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators
Natalie A. Koziol 16. Item Parceling in SEM: A Researcher Degree-of-Freedom Ripe for Opportunistic Use
Sonya K. Sterba & Jason D. Rights 17. Using Factor Scores in Structural Equation Modeling
Ines Devlieger & Yves Rosseel 18. Bifactor Measurement Models
Steven P. Reise
Maxwell Mansolf
& Mark G. Haviland 19. Multitrait-Multimethod Models
Michael Eid
Tobias Koch
& Christian Geiser 20. Investigating Measurement Invariance Using Confirmatory Factor Analysis
Keith F. Widaman & Margarita Olivera-Aguilar 21. Flexible Structural Equation Modeling Approaches for Analyzing Means
Marilyn S. Thompson
Yixing Liu
& Samuel B. Green 22. Mediation/Indirect Effects in Structural Equation Modeling
Oscar Gonzalez
Matthew J. Valente
Jeewon Cheong
& David P. MacKinnon 23. Latent Interaction Effects
Augustin Kelava & Holger Brandt 24. Dynamic Moderation with Latent Interactions: General Cross-lagged Panel Models with Interaction Effects Over Time
Michael J. Zyphur & Ozlem Ozkok 25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling
Tenko Raykov 26. Multilevel Structural Equation Modeling
Ronald H. Heck & Tingting Reid III. Specialized and Advanced Models and Applications 27. Exploratory Structural Equation Modeling
Alexandre J. S. Morin 28. Structural Equation Modeling with Small Samples and Many Variables
Katerina M. Marcoulides
Ke-Hai Yuan
& Lifang Deng 29. Mixture Models
Douglas Steinley 30. Latent Curve Modeling of Longitudinal Growth Data
Kevin J. Grimm & John J. McArdle 31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling
Multilevel Modeling
and Structural Equation Modeling
Ellen L. Hamaker
Tihomir Asparouhov
& Bengt Muthén 32. Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models
Sy-Miin Chow
Diane Losardo
Jonathan Park
& Peter C. M. Molenaar 33. Latent Trait-State Models
David A. Cole & Qimin Liu 34. Longitudinal Models for Assessing Dynamics in Dyadic Data
Meng Chen
Hairong Song
& Emilio Ferrer 35. Structural Equation Modeling in Genetics
Susanne Bruins
Sanja Frani¿
Conor V. Dolan
Denny Borsboom
& Dorret I. Boomsma 36. Structural Equation Modeling (SEM)-Based Meta-Analysis
Mike W.-L. Cheung 37. Nonlinear Structural Equation Models: Advanced Methods and Applications
Jeffrey R. Harring & Jinwang Zou 38. Foundations and Extensions of Bayesian Structural Equation Modeling
Sarah Depaoli
David Kaplan
& Sonja D. Winter 39. Machine Learning Approaches to Structural Equation Modeling
Andreas M. Brandmaier & Ross C. Jacobucci