Yeni Başlayanlar İçin - Structural Equation Modeling Books

Aigner, Dennis J. and Arthur S. Goldberger, eds. (1977). Latent variables in socio-economic models. Amsterdam: North-Holland. ISBN: 0-720405262

Arminger, Gerhard, Clifford C. Clogg and Michael E. Sobel, eds. (1995). Handbook of statistical modeling for the social and behavioral sciences. New York : Plenum Press. ISBN: 030644805X.

Bagozzi, Richard P. (1979). Causal Models in Marketing. New York: John Wiley. ISBN: 0-471-01516-4.

Bartholomew, David J. (1987). Latent Variable Models and Factor Analysis. New York: Oxford University Press.

Berkane, Maia, ed. (1997). Latent variable modeling and applications to causality. New York: Springer-Verlag. ISBN: 0-387-94917-8.

Bollen, Kenneth A. (1989). Structural Equations with Latent Variables. New York: John Wiley. ISBN: 0-4710-1171-1.

Bollen, Kenneth A. and J. Scott Long. (1993). Testing structural equation models. Newbury Park, Calif.: Sage Publications. ISBN: 08039-4506-X; 0-8039-4507-8 (pbk.)

Collins, L. M., & Horn, J.L., eds. (1991). Best methods for analysis of change: Recent advances, unanswered questions, future directions. ISBN: 1-55798-310-0.

Collins, L.M., & Sayer, A.G., eds. (1991). New methods for the analysis of change. Washington, D.C.: American Psychological Association. (ISBN: 1557987548).

Cudeck, R., DuToit, S., & Sorbom, D. (Eds.). (2001). Structural equation modeling: Present and future. Lincolnwood, IL: Scientific Software International. ISBN-10: 0894980491 ISBN-13: 978-0894980497

Cuttance, P., & Ecob, R. (Eds.). (2009). Structural modeling by example: Applications in educational, sociological, and behavioral research (1^st ed.). Cambridge, England: Cambridge University Press. ISBN-10: 0521115248 ISBN-13: 978-0521115247

Davey, A., & Savla, J. (2009). Statistical power with missing data: A structural equation modeling approach. New York: Routledge. ISBN-10: 0805863699 ISBN-13: 978-0805863697

de Toledo Vieira, M. (2009). Analysis of longitudinal survey data: Allowing for the complex survey design in covariance structure models. Saarbrücken, Germany: VDM Verlag. ISBN-10: 3639202953 ISBN-13: 978-3639202953

Duncan, Otis Dudley (1975). Introduction to structural equation models. New York: Academic Press. ISBN: 0-1222-41509.

Everitt, Brian. (1984). An Introduction to Latent Variable Models. London: Chapman & Hall. ISBN: 0-4122-5310-0.

Goldberger, Arthur S. and Otis Dudley Duncan, eds. (1973). Structural equation models in the social sciences. New York: Seminar Press/Harcourt Brace. ISBN: 0-1283-9950-3.

Grace, J. B. (2006). Structural equation modeling and natural systems. Cambridge, England: Cambridge University Press. ISBN-10: 0521546532 ISBN-13: 978-0521546539

Glymour, C. (2001). The mind's arrows. Cambridge, Massachusets: MIT Press.

Hagen, Klaus, David J. Bartholomew and Manfred Deistler, eds. (1993). Statistical Modelling and Latent Variables. Amsterdam: North-Holland. ISBN: 0-444898328

Hancock, G. R., & Mueller, R. O. (Eds.). (2006). Structural equation modeling: A second course. Greenwich, CT: IAP. ISBN-10: 1593110154 ISBN-13: 978-1593110154

Heinen, Ton. (1993). Discrete Latent Variable Models. Tilburg, Netherlands: Tilburg University Press. ISBN: 9036197538

Hoyle, Rick H., ed. (1995). Structural Equation Modeling: Concepts, Issues and Applications. Thousand Oaks, Calif.: Sage Publications. ISBN: 0-8039-5317-8; 0-8039-5318-6 (pbk.)

Jöreskog, Karl G. and Dag Sörbom (1979). Advances in factor analysis and structural equation models. Edited by Jay Magidson. Cambridge, Mass.: Abt Books. ISBN: 0-8901-1535-4.

Jöreskog, Karl G. and Herman Wold, eds. (1982). Systems under indirect observation: causality, structure, prediction. Vol. I, II. Amsterdam: North-Holland. ISBN: 0-44486301X (set)

Kaplan, David (2000). Structural Equation Modeling: Foundations and Extensions. Newbury Park, Calif.: Sage Publications.

Kaplan, D. W. (2008). Structural equation modeling: Foundations and extensions (2^nd ed.). Thousand Oaks, CA: Sage. ISBN-13: 978-1412916240

Kline, Rex B., ed. (1998). Principles and Practice of Structural Equation Modeling. New York: Guilford Press; ISBN: 1-57230-337-9. (pbk.)

Kline, R. B. (2005). Principles and practice of structural equation modeling (2^nd ed.). New York: Guilford Press. ISBN-10: 1593850751 ISBN-13: 978-1593850753

Kline, R. B. (2010). Principles and practice of structural equation modeling (3^rd ed.). New York: Guilford Press. ISBN-10: 1606238760 ISBN-13: 978-1606238769

Lee, S.-Y. (2007). Structural equation modeling: A bayesian approach (1^st ed.). Hoboken, NJ: Wiley. ISBN-10: 0470024232 ISBN-13: 978-0470024232

Little, Todd D., Kai-U. Schnabel and Jürgen Baumert, eds. (2000). Modeling longitudinal multilevel data: Practical issues, applied approaches, and specific examples. Mahwah, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-3054-5.

Loehlin, John C. (1987). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8985-9963-6; 0-8985-9965-2 (pbk.)

Loehlin, John C. (1992). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. 2nd ed. Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-1083-8; 0-8058-1084-6

Loehlin, John C. (1998). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. 3rd ed. Mahwah, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-2830-3 (cloth); 0-8058-2831-1 (pbk.).

Loehlin, J. C. (2004). Latent variable models: An introduction to factor, path, and structural equation analysis (4^th ed.). Mahwah, NJ: Erlbaum. ISBN-10: 0805849106 ISBN-13: 978-0805849103

Long, J. Scott (1983). Confirmatory Factor Analysis: Preface to LISREL. Quantitative Applications in the Social Sciences, Vol. 33. Beverly Hills, Calif.: Sage Publications. ISBN: 0-8039-2044-X

Marcoulides, George A. (1998). Modern Methods for Business Research.Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-2677-7.

Marcoulides, George A. and Randall E. Schumacker, eds. (1996) Advanced Structural Equation Modeling: Issues and Techniques. Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-1819-7.

Maruyama, Geoffrey (1997). Basics of Structural Equation Modeling. Thousand Oaks, Calif.: Sage Publications. ISBN: 0-8039-7408-6; 0-8039-7409-4 (pbk.).
Mulaik, S. A. (2009). Linear causal modeling with structural equations (1^st ed.). Boca Raton, FL: Chapman & Hall/CRC. ISBN-10: 1439800383 ISBN-13: 978-1439800386

Neale, Michael C. and Cardon, Lon R. (1992). Methodology for Genetic Studies of Twins and Families. Dordrecht, Netherlands: Kluwer Academic Press. ISBN 0-7923-1874-9.

Pearl, Judea (2000). Causality: models, reasoning, and inference. Cambridge: Cambridge University Press. ISBN: 0521773628.

Pearl, J. (2009). Causality: Models, reasoning and inference (2^nd ed.). Cambridge, England: Cambridge University Press. ISBN-10: 052189560X ISBN-13: 978-0521895606.

Pugesek, B. H., Tomer, A., & von Eye, A. (Eds.). (2009). Structural equation modeling: Applications in ecological and evolutionary biology (1^st ed.). Cambridge, England: Cambridge University Press. ISBN-10: 0521104025 ISBN-13: 978-0521104029

Raykov, Tenko and George A. Marcoulides. (2000). A first course in structural equation modeling. Mahwah, N.J. : Lawrence Erlbaum Associates. ISBN: 0-8058-3568-7; 0-8058-3569-5 (pbk)

Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2^nd ed.). Mahwah, NJ: Erlbaum. ISBN-10: 0805855882 ISBN-13: 978-0805855883

Schumacker, Randall E. and George A. Marcoulides (1998). Advanced Structural Equation Modeling: Interaction Models. Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-2950-4 (cloth); 0-8058-2951-2 (pbk).

Schumacker, Randall E. and George A. Marcoulides, eds. (1998). Interaction And Non-Linear Effects In Structural Equation. Lawrence Erlbaum Associates. ISBN: 0-8058-2950-4 (cloth); 0-8058-2951-2 (pbk).

Schumacker, Randall E. and R.G. Lomax. (1996). A Beginner’s Guide to Structural Equation Modeling. Hillsdale, N.J.: Lawrence Erlbaum Associates. ISBN: 0-8058-1766-2; 0-8058-1767-0 (pbk.).

Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Boca Raton, FL: Chapman & Hall/CRC.

Structural equation modeling: Webster’s timeline history, 1985-2007. (2009). San Diego, CA: Icon Group. ISBN-10: 0546748155 ISBN-13: 978-0546748154.

Teo, T., & Khine, M. S. (Eds.). (2009). Structural equation modeling in educational research: Concepts and applications. Rotterdam, Netherlands: Sense. ISBN-10: 9087907877 ISBN-13: 978-9087907877

Toyoda, H. (Ed.). (2003). Covariance structure analysis techniques – structural equation modeling. Tokyo: Asakura. ASIN: B00279BEDO (Japanese)

von Eye, Alexander and Clifford C. Clogg, eds. (1994). Latent variables analysis: applications for developmental research. Thousand Oaks, Calif.: Sage Publications. ISBN: 0-8039-5330-5 (cloth); 0-8039-5331-3 (pbk.)

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Version 17/forthcoming Version 18). The author "walks" the reader through a variety of SEM applications based on actual data taken from her own research. Noted for its easy-to-follow, non-mathematical language, this book is written for the novice SEM user. In each chapter, the author walks the reader through all steps involved in testing the SEM model presented. Each application is accompanied by: an explanation of the issues addressed a schematic representation of the hypothesized and posthoc models tested AMOS input and output (graphical and textual) with accompanying interpretation and explanation Use and function of the many icons in the AMOS toolbar, together with their related pull-down menus The data upon which the model was based, as well as the related published reference

With over 50% new material, highlights of the new edition include:
All new screen shots so readers can easily follow along with the latest version of the AMOS program (Version 17/forthcoming Version 18)
All data files now available online
Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data
All applications based on the most commonly used graphical interface
The automated multi-group approach to testing for equivalence
Divided into 5 major sections, the first two chapters introduce readers to the fundamental concepts of SEM and the basic components of the AMOS program. Section 2 presents four applications that focus on single-group analyses; these include first- and second order CFA models, as well as a full SEM model. Multiple-group applications are presented in Section 3 and illustrate tests for equivalence pertinent to both CFA and full SEM models, as well as tests for latent mean differences. Section 4 walks readers through applications of the multitrait-mutimethod and latent growth curve models. The final section discusses two critically important issues - non-normal data and missing (incomplete) data, and presents two applications capable of addressing these issues.
Intended for researchers, practitioners, and students who wish to use SEM and AMOS in their work, this best-selling book is the one of choice in academic as well as a wide variety of other work environments around the globe. An ideal resource for courses on SEM taught at the graduate level in psychology, education, business, and other applied social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design taught in these same departments. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended. The book serves as an invaluable companion to the AMOS Manual as well as to any SEM textbook.