Lisrel Model- Structural Equation Modeling
On the Validity of the Markov Interpretation of Path Diagrams of Gaussian Structural Equations Systems with Correlated Errors, Jan T. A. Koster, Scandinavian Journal of Statistics, Volume 26, Issue 3, Page 413-431, 1999.
Linear structural relationships with latent variables: the Lisrel model, Martin Cadwallader, The Professional Geographer, Volume 39, Issue 3, Page 317-326, 1987.
Testing Complex Correlational Hypotheses With Structural Equation Models, Preacher, Kristopher J.. Structural Equation Modeling, Vol. 13 Issue 4, p520-543, 2006.
Bayesian Analysis of Structural Equation Models With Nonlinear Covariates and Latent Variables, Xin-YuanSong; Sik-Yum Lee. Multivariate Behavioral Research, Vol. 41 Issue 3, p 337-365, 2006.
A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models With Missing Continuous and Dichotomous Data, Xin-Yuan Song; Sik-Yum Lee. Structural Equation Modeling, Vol. 13 Issue 3, p325-35, 2006.
Evaluation of an Approximate Method for Synthesizing Covariance Matrices for Use in Meta-Analytic SEM, Beretvas, S. Natasha; Furlow, Carolyn F.. Structural Equation Modeling, Vol. 13 Issue 2, p153-185, 2006.
Discrete Latent Markov Models for Normally Distributed Response Data, Schmittmann, Verena D.; Dolan, Conor V.; van der Maas, Han L. J.; Neale, Michael C.. Multivariate Behavioral Research,Vol.40,Issue4,p461-488,2005.
A Semiparametric Approach to Modeling Nonlinear Relations Among Latent Variables, Bauer, Daniel J.. Structural Equation Modeling, Vol. 12 Issue 4, p 513-535, 2005.
Applications of Multilevel Structural Equation Modeling to Cross-Cultural Research, Cheung, Mike W.-L.; Au, Kevin. Structural Equation Modeling, Vol. 12 Issue 4, p 598-619, 2005.
Asymptotic robustness of standard errors in multilevel structural equation models. Ke-Hai Yuan, Peter M. Bentler, Journal of Multivariate Analysis, Volume 97, Issue 5, p. 1121-114, 2006.
Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction, Herbert W. Marsh, Zhonglin Wen , Kit-Tai Hau, Psychological Methods, Volume 9, Issue3,p.275-300,2004.
Structural equation model for effective CRM of digital content industry Expert Systems with Applications, Yong Gyu Joo, So Young Sohn Volume 34, Issue 1,p. 63-71, 2008.
A strategic analysis for successful open source software utilization based on a structural quation model Journal of Systems and Software, So Young Sohn, Min Seok Mok, In Press, Corrected Proof, Available online 4, 2007.
Multilevel Structural Equation Modelin. Sophia Rabe-Hesketh, Anders Skrondal, Xiaohui Zheng Handbook of Latent Variable and Related Models, p.209-22, 2007.
On the Likelihood Ratio Test in Structural Equation Modeling When Parameters Are Subject to Boundary Constraints, Reinoud D. Stoel, Francisca Galindo Garre, Conor Dolan, Godfried van den Wittenboer, Psychological Methods, Volume 11, Issue 4, p. 439-455, 2006.
Product development practices and performance: A structural equation modeling-based multi-group analysis, Xenophon Koufteros, George A. Marcoulides, International Journal of Production Economics, Volume 103, Issue 1, p. 286-307, 2006.
Exogeneity in structural equation models, Xavier de Luna, Per Johansson, Journal of Econometrics, Volume 132, Issue 2, p. 527-543, 2006.
Asymptotic robustness of standard errors in multilevel structural equation models, Ke-Hai Yuan, Peter M. Bentler , Journal of Multivariate Analysis, Volume 97, Issue 5, Pages 1121-1141, 2006.
Statistical power and structural equation models in business research, Shaun McQuitty, Journal of Business Research, Volume 57, Issue 2, p. 175-183, 2004.
Missing Data Techniques for Structural Equation Modeling. Paul D. Allison, Journal of Abnormal Psychology, Volume 112, Issue 4, p. 545-557, 2003.
A structural equation model of residents’ attitudes for tourism development. Dong-Wan Ko and William P. Stewart, Tourism Management, Volume 23, Issue 5, p. 521-530, 2002.
Resident attitudes: A Structural Modeling Approach. Dogan Gursoy, Claudia Jurowski, Muzaffer Uysal Annals of Tourism Research, Volume 29, Issue 1, p. 79-105, 2002.
On Measures of Explained Variance in Nonrecursive Structural Equation Models. Peter M. Bentler, Tenko Raykov, Journal of Applied Psychology, Volume 85, Issue 1, p. 125-131, 2000.
A Cautionary Note on Measurement Error Corrections in Structural Equation Models. Richard P. DeShon, Psychological Methods, Volume 3, Issue 4, p. 412-423,1998.
Theory and method for constrained estimation in structural equation models with incomplete data. Man-Lai Tang, Peter M. Bentler, Computational Statistics Data Analysis, Volume 27, Issue 3, p. 257-270, 1998.
Lisrel Model- Estimation Theory
Fitting Partially Nonlinear Random Coefficient Models as SEMs. Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C.. Multivariate Behavioral Research, Vol. 41 Issue 4, p579-596,2006.
A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models With Missing Continuous and Dichotomous Data. Xin-Yuan Song; Sik-Yum Lee. Structural Equation Modeling, Vol. 13 Issue 3, p325-351, 2006.
Evaluation of an Approximate Method for Synthesizing Covariance Matrices for Use in Meta-Analytic SEM. Beretvas, S. Natasha; Furlow, Carolyn F.. Structural Equation Modeling, Vol. 13 Issue 2, p153-185, 2006.
A Direct Estimation Method on Analyzing Ipsative Data With Chan and Bentler's (1993) Method. Cheung, Mike W.L.. Structural Equation Modeling, Vol. 11 Issue 2, p217-243, 2004.
Reliability of Scales With General Structure: Point and Interval Estimation Using a Structural Equation Modeling Approach. Raykov, Tenko; Shrout, Patrick E.. Structural Equation Modeling, Vol. 9 Issue 2, p195-212, 2002.
A Structural Modeling Approach to a Multilevel Random Coefficients Model. Rovine, Michael J.; Molenaar, Peter C. M.. Multivariate Behavioral Research, 2000, Vol. 35 Issue 1, p51-88, 2000.
Is it fitting? Comments on the LISREL analysis by Stoner Arora of variables affecting the psychological health of strikers. Smith, Leigh M.. Journal of Occupational Psychology, Vol. 62 Issue 3, p257-262, 1989.
Robust Structural Equation Models: Implications for Developmental Psychology. Huba, George J.; Harlow, Lisa L.. Child Development, Vol. 58 Issue 1, p147, 1987.
Bayesian Structural Equation Modeling. Jesus Palomo, David B. Dunson, Ken Bollen, Handbook of Latent Variable and Related Models, p. 163-188, 2007.
Advances in Analysis of Mean and Covariance Structure when Data are Incomplete. Mortaza Jamshidian, Matthew Mata, Handbook of Latent Variable and Related Models, p. 21-44, 2007.
Bayesian Analysis of Mixtures Structural Equation Models with Missing Data. Sik-Yum Lee, Handbook of Latent Variable and Related Models, p. 87-107, 2007.
Structural Equation Modeling- Estimation Theory Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches. Marsh, Herbert W.; Wen, Zhonglin; Hau, Kit-Tai; Little, Todd D.; Bovaird, James A.; Widaman, Keith F.. Structural Equation Modeling, Vol. 14 Issue 4, p570-580, 2007.
A Comparison of Latent Growth Models for Constructs Measured by Multiple Items. Leite, Walter L.. Structural Equation Modeling, Vol. 14 Issue 4, p581-610, 2007.
Power and Precision in Confirmatory Factor Analytic Tests of Measurement Invariance. Meade, Adam W.; Bauer, Daniel J.. Structural Equation Modeling, Vol. 14 Issue 4, p611-635, 2007.
Lower Level Mediation Effect Analysis in Two-Level Studies: A Note on a Multilevel Structural Equation Modeling Approach. Raykov, Tenko; Mels, Gerhard. Structural Equation Modeling, Vol. 14 Issue 4, p636-648, 2007.
Equivalent Structural Equation Models: A Challenge and Responsibility. Raykov, Tenko; Marcoulides, George A.. Structural Equation Modeling, Vol. 14 Issue 4, p695-700, 2007.
Bayesian Methods for Analyzing Structural Equation Models With Covariates, Interaction, and Quadratic Latent Variables. Sik-Yum Lee; Xin-Yuan Song; Nian-Sheng Tang. Structural Equation Modeling, Vol. 14 Issue 3, p404-434, 2007.
Reliability of multiple-component measuring instruments: Improved evaluation in repeated measure designs. Raykov, Tenko. British Journal of Mathematical Statistical Psychology, Vol. 60 Issue 1, p119-136, 2007.
Identification and Small Sample Estimation of Thurstone's Unrestricted Model for Paired Comparisons Data. Maydeu-Olivares, Alberto; Hernández, Adolfo. Multivariate Behavioral Research, Vol. 42 Issue 2, p323-347, 2007.
A Confirmatory Analysis of Item Reliability Trends (CAIRT): Differentiating True Score and Error Variance in the Analysis of Item Context Effects. Hartig, Johannes; Holzel, Britta; Moosbrugger, Helfried. Multivariate Behavioral Research, Vol. 42, Issue 1, p157-183, 2007.
Multiplicity Control in Structural Equation Modeling. Cribbie, Robert A.. Structural Equation Modeling, Vol. 14 Issue 1, p98-112, 2007.
Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood? Lubke, Gitta; Neale, Michael C.. Multivariate Behavioral Research, Vol. 41 Issue 4, p499-532, 2006.
Fitting Partially Nonlinear Random Coefficient Models as SEMs. Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C.. Multivariate Behavioral Research, Vol. 41 Issue 4, p579-596, 2006.
A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models With Missing Continuous and Dichotomous Data. Xin-Yuan Song; Sik-Yum Lee. Structural Equation Modeling, Vol. 13 Issue 3, p325-351, 2006.
Confirmatory Factor Analytic Procedures for the Determination of Measurement Invariance. French, Brian F.; Finch, W. Holmes. Structural Equation Modeling, Vol. 13 Issue 3, p378-402, 2006.
Limited-information goodness-of-fit testing of item response theory models for sparse 2P tables. Li Cai; Maydeu-Olivares, Albert; Coffman, Donna L.; Thissen, David. British Journal of Mathematical Statistical Psychology, Vol. 59 Issue 1, p173-194, 2006.
Analysing multitrait--multimethod data with structural equation models for ordinal variables applying the WLSMV estimator: What sample size is needed for valid results? Nussbeck, Fridtjof W.; Eid, Michael; Lischetzke, Tanja. British Journal of Mathematical Statistical Psychology, Vol.59,Issue1,p195-213,2006.
On the Relationship Between Maximal Reliability and Maximal Validity of Linear Composites. Penev, Spiridon; Raykov, Tenko. Multivariate Behavioral Research, Vol. 41 Issue 2, p105-126, 2006.
Evaluation of an Approximate Method for Synthesizing Covariance Matrices for Use in Meta-Analytic SEM. Beretvas, S. Natasha; Furlow, Carolyn F.. Structural Equation Modeling, Vol. 13 Issue 2, p153-185, 2006.
A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA. Nasser-Abu Alhija, Fadia; Wisenbaker, Joseph. Structural Equation Modeling, Vol. 13 Issue 2, p204-228,2006.
Interval Estimation of Optimal Scores from Multiple-Component Measuring Instruments via SEM. Raykov, Tenko. Structural Equation Modeling, Vol. 13 Issue 2, p252-263, 2006.
On Multilevel Model Reliability Estimation From the Perspective of Structural Equation Modeling. Raykov, Tenko; Marcoulides, George A.. Structural Equation Modeling, Vol. 13 Issue 1, p130-141, 2005.
Estimation of Reliability for Multiple-Component Measuring Instruments in Hierarchical Designs. Raykov, Tenko; du Toit, Stephen H. C.. Structural Equation Modeling, Vol. 12 Issue 4, p536-550, 2005.
An SAS Macro for Implementing the Modified Bollen-Stine Bootstrap for Missing Data: Implementing the Bootstrap Using Existing Structural Equation Modeling Software. Enders, Craig K.. Structural Equation Modeling, Vol. 12 Issue 4, p620-641, 2005.
The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling. Kim, Kevin H.. Structural Equation Modeling, Vol. 12 Issue 3, p368-390, 2005.
Analysis of Longitudinal Studies With Missing Data Using Covariance Structure Modeling With Full-Information Maximum Likelihood. Raykov, Tenko. Structural Equation Modeling, Vol. 12 Issue 3, p493-505, 2005.
A Statistically Justified Pairwise ML Method for Incomplete Nonnormal Data: A Comparison With Direct ML and Pairwise ADF. Savalei, Victoria; Bentler, Peter M.. Structural Equation Modeling, Vol. 12 Issue 2, p183-214, 2005.
Identification Constraints and Inference in Factor Models. Loken, Eric. Structural Equation Modeling, Vol. 12 Issue 2, p232-244, 2005.
Embedding IRT in Structural Equation Models: A Comparison With Regression Based on IRT Scores. Lu, Irene R. R.; Thomas, D. Roland; Zumbo, Bruno D.. Structural Equation Modeling, Vol. 12 Issue 2, p263-277, 2005.
DOĞRUSAL OLMAYAN YAPISAL EŞİTLİK MODELLEMESİ
On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables. Little, Todd D.; Bovaird, James A.; Widaman, Keith F.. Structural Equation Modeling, Vol. 13 Issue 4, p497-519, 2006.
Bayesian Analysis of Structural Equation Models With Nonlinear Covariates and Latent Variables. Xin-YuanSong; Sik-Yum Lee. Multivariate Behavioral Research, Vol. 41 Issue 3, p337-365, 2006.
A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models With Missing Continuous and Dichotomous Data. Xin-Yuan Song; Sik-Yum Lee. Structural Equation Modeling, Vol. 13 Issue 3, p325-351, 2006.
Bayesian analysis of structural equation models with mixed exponential family and ordered categorical data. Sik-Yum Lee; Nian-Sheng Tang. British Journal of Mathematical Statistical Psychology, Vol. 59 Issue 1, p151-172, 2006.
Application of Structural Equation Models to Quality of Life. Sik-Yum Lee; Xin-Yuan Song; Skevington, Suzanne; Yua-Tao Hao. Structural Equation Modeling, Vol. 12 Issue 3, p435-453, 2005.
Maximum Likelihood Analysis of Nonlinear Structural Equation Models With Dichotomous Variables. : Xin-Yuan Song; Sik-Yum Lee. Multivariate Behavioral Research, Vol. 40 Issue 2, p151-177, 2005.
Predictive models of implicit and explicit attitudes. Perugini, Marco. British Journal of Social Psychology, Vol. 44 Issue 1, p29-45, 2005.
Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes. Sik-Yum Lee; Xin-Yuan Song. Multivariate Behavioral Research, Vol. 39 Issue 4, p653-686, 2004.
Self-Control and the Self-Regulation of Dieting Decisions: The Role of Prefactual Attitudes, Subjective Norms, and Resistance to Temptation. Bagozzi, Richard P.; Moore, David J.; Leone, Luigi. Basic Applied Social Psychology, Vol. 26 Issue 2/3, p199-213, 2004.
Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data. Xin-Yuan Song; Sik-Yum Lee. British Journal of Mathematical Statistical Psychology, Vol. 57 Issue 1, p29-52, 2004.
Bayesian model comparison of nonlinear structural equation models with missing continuous and ordinal categorical data. Sik-Yum Lee; Xin-Yuan Song. British Journal of Mathematical Statistical Psychology, Vol. 57 Issue 1, p131-150, 2004.
Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables. Sik-Yum Lee; Xin-Yuan Song; Wai-Yin Poon. Multivariate Behavioral Research, Vol. 39 Issue 1, p37-67, 2004.
Local influence analysis of structural equation models with continuous and ordinal categorical variables. Sik-Yum Lee; Liang Xu. British Journal of Mathematical Statistical Psychology, Vol. 56 Issue 2, p249-270, 2003.
Case-Deletion Diagnostics for Nonlinear Structural Equation Models. Sik-Yum Lee; Bin Lu. Multivariate Behavioral Research,, Vol. 38 Issue 3, p375-400, 2003.
Full Maximum Likelihood Estimation of Polychoric and Polyserial Correlations With Missing Data. Song, Xin-Yuan; Lee, Sik-Yum. Multivariate Behavioral Research, Vol. 38 Issue 1, p57-79, 2003.
Bayesian Estimation and Model Selection of Multivariate Linear Model with Polytomous Variables. Song, Xin-Yuan; Lee, Sik-Yum. Multivariate Behavioral Research, Vol. 37 Issue 4, p453, 2002.
Sample Invariance of the Structural Equation Model and the Item Response Model: A Case Study. Breithaupt, Krista; Zumbo, Bruno D.. Structural Equation Modeling, Vol. 9 Issue 3, p390-412, 2002.
Structural Equation Modeling: Present and Future: A Festschrift in Honor of Karl Joreskog edited by Robert Cudeck, Stephen Du Toit, and Dag Sorbom. Rigdon, Edward E.. Structural Equation Modeling, Vol. 9 Issue 2, p298-302, 2002.
Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations. Xin-Yuan Song; Sik-Yuk Lee. British Journal of Mathematical Statistical Psychology, Vol. 54 Issue 2, p237, 2001.
Stability and predictors of blood glucose levels: an intra- and inter-individual analysis. Bunting, B. P.; Coates, V.. Psychology, Health Medicine, Vol. 5 Issue 3, p251-258, 2000.
Unexplored Antecedents of Exiting in a Marketing Channel. Ping Jr, Robert A.. Journal of Retailing, Vol. 75 Issue 2, p218, 1999.
A discipline-mediated model of excessively punitive parenting. Greenwald, Randi L.; Bank, Lew. Aggressive Behavior, Vol. 23 Issue 4, p259-280, 1997.
"Non- Normality , Categorical Data, Robust"
The sensitivity of confirmatory maximum likelihood factor analysis to violations of measurement scale and distributional assumptions. Babakus, E., Ferguson, C.E., Jr., Joreskog, K.G., Journal of Marketing Research, 24, 222-28, 1987.
The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Curran, P. J., West, S. G, Finch, J. F., Psychological Methods, 1, 16-29,1 996.
A suggestion for using powerful and informative tests of normality. D'Agostino, R. B., Belanger, A., D'Agostino, R. B., American Statistician, 44, 316-321, 1990.
Effects of sample size, estimation method, and model specification on structural equation modeling fit indexes, Fan, X., Thompson, B., Wang, L., Structural Equation Modeling, 6, 56-83, 1999.
Effects of sample size and nonnormality on the estimation of mediated effects in latent variables models. Finch, J.F., West, S.G., MacKinnon, D., Structural Equation Modeling, 4, 87-107, 1997.
Performance of modified test statistics in covariance and correlation structure analysis under conditions of multivariate nonnormality. Fouladi, R.T., Structural Equation Modeling, 7(3), 356-410, 2000.
Robustness studies in Covariance Structure Modeling: An overview and a meta-analysis. Hoogland Boomsma, Sociological Methods and Research, 26, 329-3, 1998.
A comparison of methodologies for the factor analysis of non-normal Likert variables. Muthén, B., Kaplan, D., British Journal of Mathematical and Statistical Psychology, 38, 171-189, 1995.
A comparison of some methodologies for the factor analysis of non-normal Likert variables: A note on the size of the model. Muthén, B., Kaplan, D., British Journal of Mathematical and Statistical Psychology, 45, 19-30, 1992.
Theoretic fit and empirical fit: The performance of maximum likelihood versus generalized least squares estimation in structural equation models. Olsson, U. H, Troye, S. V., Howell, R. D., Multivariate Behavioral Research, 34, 31-58, 1999.
The Performance of ML, GLS and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality. Olsson, U.H., Foss, T., Troye, S. V., Roy D. Howell, Structural Equation Modeling, 7 (4), 557-595, 2000.
Structural equation models for ordinal variables, Xie, Yu, Sociological Methods Research, 17, 325-352, 1989.
Improving parameter tests in covariance structure analysis. Yuan, K.-H., Bentler, P. M., Computational Statistics Data Analysis, 26, 177-198, 1997.
Mean and covariance structure analysis: Theoretical and practical improvements. Yuan, K.-H., Bentler, P. M. Journal of the American Statistical Association, 92, 767-774, 1997.
Normal theory based test statistics in structural equation modeling. Yuan, K-H., Bentler, P. M. British Journal of Mathematical and Statistical Psychology, 51, 289-309, 1998.
Testing Differences Between Nested Covariance Structure Models: Power Analysis and Null Hypotheses, Robert C. MacCallum, Michael W. Browne, Li Cai, Psychological Methods, Volume 11, Issue 1, p. 19-35, 2006.
Covariance Structure Models for Maximal Reliability of Unit-Weighted Composites, Peter M. Bentler, Handbook of Latent Variable and Related Models, p. 1-19, 2007.
Theory and method for constrained estimation in structural equation models with incomplete data. Man-Lai Tang, Peter M. Bentler, Computational Statistics & Data Analysis, Volume 27, Issue 3, p. 257-270, 1998.
Applied Multivariate Analysis, Neil H. Timm, Springer; 1 edition, 2002.
An Invariant Approach to Statistical Analysis of Shapes, Subhash R. Lele, Joan T. Richtsmeier, Chapman & Hall/CRC; 1 edition, 2001.
Handbook of Psychology, Research Methods in Psychology, John A. Schinka (Editor), Wayne F. Velicer (Editor), Irving B. Weiner (Editor), Wiley; 1 edition, 2002.
Kitap
A Beginner's Guide to Structural Equation Modeling. Randall E. Schumacker and Richard G. Lomax, Lawrence Erlbaum; 2 edition, 2004.
Testing Structural Equation Models, J. Scott Long (Editor), Kenneth A. Bollen (Editor), Sage Publications, Inc.; 1 edition, 1993.
Lisrel 8: User’s Reference Guide, Karl Jöreskog, Dag Sörbom, SSI International, Inc. ,1996.
Using Multivariate Statistics, Barbara G. Tabachnick and Linda S. Fidel, Harper Collins College Publishers, third edition, 1996.
Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, Barbara Byrne, Lawrence Erlbaum; 2 edition, 2006.
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Barbara M. Byrne, Lawrence Erlbaum; 1 edition, 2001.
Structural Equation Modelling: A Bayesian Approach, Sik-Yum Lee, Wiley; Onl edition, 2007.
Amos 4.0 User’s Guide, James L. Arbuckle, Werner Wothke, SPSS Marketing Dep., 1999.
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis, John C. Loehlin, Lawrence Erlbaum; 4 edition, 2004.
Multivariate Data Analysis, Joseph F. Hair, Rolph E. Anderson, and Ronald L. Tahtam, Macmillan ; Collier Macmillan, 1998.
Confirmatory Factor Analysis for Applied Research, Timothy A. Brown, The Guilford Press; 1 edition, 2006.
