Barbara M. Byrne
Structural Equation Modeling With EQS (eBook, ePUB)
Basic Concepts, Applications, and Programming, Second Edition
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Barbara M. Byrne
Structural Equation Modeling With EQS (eBook, ePUB)
Basic Concepts, Applications, and Programming, Second Edition
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Researchers and students who want a more accessible alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS the author "walks" the reader through the varied steps involved in the process of testing SEM
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Researchers and students who want a more accessible alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS the author "walks" the reader through the varied steps involved in the process of testing SEM
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 454
- Erscheinungstermin: 15. April 2013
- Englisch
- ISBN-13: 9781135809676
- Artikelnr.: 40186477
- Verlag: Taylor & Francis
- Seitenzahl: 454
- Erscheinungstermin: 15. April 2013
- Englisch
- ISBN-13: 9781135809676
- Artikelnr.: 40186477
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne's research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of 7 popular introductory books on SEM and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.
Contents: Part I: Introduction. Structural Equation Models: The Basics.
Using the EQS Program. Part II: Single-Group Analyses. Application 1:
Testing for the Factorial Validity of a Theoretical Construct (First-Order
CFA Model). Application 2: Testing for the Factorial Validity of
Scores From a Measuring Instrument (First-Order CFA Model). Application 3:
Testing for the Factorial Validity of Scores from a Measuring Instrument
(Second-Order CFA Model). Application 4: Testing for the Validity of a
Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing
for the Factorial Invariance of a Measuring Instrument. Application 6:
Testing for the Invariance of a Causal Structure. Application 7: Testing
for Latent Mean Differences (First-Order CFA Model). Application 8: Testing
for Latent Mean Differences (Second-Order CFA Model). Part IV: Other
Important Topics. Application 9: Testing for Construct Validity: The
Multitrait-Multimethod Model. Application 10: Testing for Change Over Time:
The Latent Growth Curve Model. Application 11: Testing for Within- and
Between-Level Variance: The Multilevel Model.
Using the EQS Program. Part II: Single-Group Analyses. Application 1:
Testing for the Factorial Validity of a Theoretical Construct (First-Order
CFA Model). Application 2: Testing for the Factorial Validity of
Scores From a Measuring Instrument (First-Order CFA Model). Application 3:
Testing for the Factorial Validity of Scores from a Measuring Instrument
(Second-Order CFA Model). Application 4: Testing for the Validity of a
Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing
for the Factorial Invariance of a Measuring Instrument. Application 6:
Testing for the Invariance of a Causal Structure. Application 7: Testing
for Latent Mean Differences (First-Order CFA Model). Application 8: Testing
for Latent Mean Differences (Second-Order CFA Model). Part IV: Other
Important Topics. Application 9: Testing for Construct Validity: The
Multitrait-Multimethod Model. Application 10: Testing for Change Over Time:
The Latent Growth Curve Model. Application 11: Testing for Within- and
Between-Level Variance: The Multilevel Model.
Contents: Part I: Introduction. Structural Equation Models: The Basics.
Using the EQS Program. Part II: Single-Group Analyses. Application 1:
Testing for the Factorial Validity of a Theoretical Construct (First-Order
CFA Model). Application 2: Testing for the Factorial Validity of
Scores From a Measuring Instrument (First-Order CFA Model). Application 3:
Testing for the Factorial Validity of Scores from a Measuring Instrument
(Second-Order CFA Model). Application 4: Testing for the Validity of a
Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing
for the Factorial Invariance of a Measuring Instrument. Application 6:
Testing for the Invariance of a Causal Structure. Application 7: Testing
for Latent Mean Differences (First-Order CFA Model). Application 8: Testing
for Latent Mean Differences (Second-Order CFA Model). Part IV: Other
Important Topics. Application 9: Testing for Construct Validity: The
Multitrait-Multimethod Model. Application 10: Testing for Change Over Time:
The Latent Growth Curve Model. Application 11: Testing for Within- and
Between-Level Variance: The Multilevel Model.
Using the EQS Program. Part II: Single-Group Analyses. Application 1:
Testing for the Factorial Validity of a Theoretical Construct (First-Order
CFA Model). Application 2: Testing for the Factorial Validity of
Scores From a Measuring Instrument (First-Order CFA Model). Application 3:
Testing for the Factorial Validity of Scores from a Measuring Instrument
(Second-Order CFA Model). Application 4: Testing for the Validity of a
Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing
for the Factorial Invariance of a Measuring Instrument. Application 6:
Testing for the Invariance of a Causal Structure. Application 7: Testing
for Latent Mean Differences (First-Order CFA Model). Application 8: Testing
for Latent Mean Differences (Second-Order CFA Model). Part IV: Other
Important Topics. Application 9: Testing for Construct Validity: The
Multitrait-Multimethod Model. Application 10: Testing for Change Over Time:
The Latent Growth Curve Model. Application 11: Testing for Within- and
Between-Level Variance: The Multilevel Model.