10 Structural Equation Modeling
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[1] Ke-Hai Yuan,et al. Normal theory likelihood ratio statistic for mean and covariance structure analysis under alternative hypotheses , 2007 .
[2] K. Yuan,et al. Standard errors in covariance structure models: asymptotics versus bootstrap. , 2006, The British journal of mathematical and statistical psychology.
[3] Sik-Yum Lee. Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data , 2006 .
[4] Ke-Hai Yuan,et al. Asymptotic robustness of standard errors in multilevel structural equation models , 2006 .
[5] Ke-Hai Yuan,et al. Mean Comparison: Manifest Variable Versus Latent Variable , 2006 .
[6] Ke-Hai Yuan,et al. On Nonequivalence of Several Procedures of Structural Equation Modeling , 2005 .
[7] Hirokazu Yanagihara,et al. The effects of nonnormality on asymptotic distributions of some likelihood ratio criteria for testing covariance structures under normal assumption , 2005 .
[8] Kevin Kim,et al. The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling , 2005 .
[9] Ke-Hai Yuan,et al. Asymptotic robustness of the normal theory likelihood ratio statistic for two-level covariance structure models , 2005 .
[10] Ke-Hai Yuan,et al. On muthén’s maximum likelihood for two-level covariance structure models , 2005 .
[11] Eric Loken,et al. Identification Constraints and Inference in Factor Models , 2005 .
[12] Victoria Savalei,et al. A Statistically Justified Pairwise ML Method for Incomplete Nonnormal Data: A Comparison With Direct ML and Pairwise ADF , 2005 .
[13] Tenko Raykov,et al. Bias-Corrected Estimation of Noncentrality Parameters of Covariance Structure Models , 2005 .
[14] André Beauducel,et al. Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure , 2005 .
[15] K. Yuan. Fit Indices Versus Test Statistics , 2005, Multivariate behavioral research.
[16] J. Gill. Hierarchical Linear Models , 2005 .
[17] D. Flora,et al. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. , 2004, Psychological methods.
[18] Ke-Hai Yuan,et al. On Chi-Square Difference and z Tests in Mean and Covariance Structure Analysis when the Base Model is Misspecified , 2004 .
[19] Ke-Hai Yuan,et al. On the asymptotic distributions of two statistics for two-level covariance structure models within the class of elliptical distributions , 2004 .
[20] K. Yuan,et al. Structural equation modeling with heavy tailed distributions , 2004 .
[21] H. Marsh,et al. Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. , 2004, Psychological methods.
[22] Wai-Yin Poon,et al. A Forward Search Procedure for Identifying Influential Observations in the Estimation of a Covariance Matrix , 2004 .
[23] Sophia Rabe-Hesketh,et al. Generalized latent variable models: multilevel, longitudinal, and structural equation models , 2004 .
[24] Wing Kam Fung,et al. Three Mahalanobis distances and their role in assessing unidimensionality. , 2004, The British journal of mathematical and statistical psychology.
[25] R. Mcdonald. Respecifying Improper Structures , 2004 .
[26] Jiajuan Liang,et al. An EM algorithm for fitting two-level structural equation models , 2004 .
[27] Daniel J Bauer,et al. The integration of continuous and discrete latent variable models: potential problems and promising opportunities. , 2004, Psychological methods.
[28] Craig K. Enders,et al. Using an EM Covariance Matrix to Estimate Structural Equation Models With Missing Data: Choosing an Adjusted Sample Size to Improve the Accuracy of Inferences , 2004 .
[29] Sik-Yum Lee,et al. Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables , 2004, Multivariate behavioral research.
[30] K. Yuan,et al. A NEW MEASURE OF MISFIT FOR COVARIANCE STRUCTURE MODELS , 2004 .
[31] P. Allison. Missing data techniques for structural equation modeling. , 2003, Journal of abnormal psychology.
[32] Conor V Dolan,et al. Weak measurement invariance with respect to unmeasured variables: an implication of strict factorial invariance. , 2003, The British journal of mathematical and statistical psychology.
[33] Sik-Yum Lee,et al. Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables , 2003, Comput. Stat. Data Anal..
[34] Ke-Hai Yuan,et al. Eight test statistics for multilevel structural equation models , 2003, Comput. Stat. Data Anal..
[35] Peter M. Bentler,et al. 8. Assessing the Effect of Model Misspecifications on Parameter Estimates in Structural Equation Models , 2003 .
[36] D. A. Kenny,et al. Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling , 2003 .
[37] Sik-Yum Lee,et al. Maximum Likelihood Estimation of Nonlinear Structural Equation Models with Ignorable Missing Data , 2003 .
[38] K. Yuan,et al. Bootstrap approach to inference and power analysis based on three test statistics for covariance structure models. , 2003, The British journal of mathematical and statistical psychology.
[39] David Watkins,et al. The Issue Of Measurement Invariance Revisited , 2003 .
[40] L. Wolfle. The Introduction of Path Analysis to the Social Sciences, and Some Emergent Themes: An Annotated Bibliography , 2003 .
[41] Robert C MacCallum,et al. 2001 Presidential Address: Working with Imperfect Models , 2003, Multivariate behavioral research.
[42] Scott L. Hershberger,et al. The Growth of Structural Equation Modeling: 1994-2001 , 2003 .
[43] Jacqueline J. Meulman,et al. New Developments in Psychometrics. , 2003 .
[44] Albert Satorra,et al. Power of χ2 Goodness-of-fit Tests in Structural Equation Models: the Case of Non-Normal Data , 2003 .
[45] Ab Mooijaart,et al. Estimating the Statistical Power in Small Samples by Empirical Distributions , 2003 .
[46] R. Stoel,et al. Issues in growth curve modeling , 2003 .
[47] Ke-Hai Yuan,et al. On normal theory based inference for multilevel models with distributional violations , 2002 .
[48] Peter M. Bentler,et al. Tests of homogeneity of means and covariance matrices for multivariate incomplete data , 2002 .
[49] R. MacCallum,et al. When fit indices and residuals are incompatible. , 2002, Psychological methods.
[50] B. Muthén,et al. How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power , 2002 .
[51] Christine DiStefano,et al. The Impact of Categorization With Confirmatory Factor Analysis , 2002 .
[52] Ke-Hai Yuan,et al. On robusiness of the normal-theory based asymptotic distributions of three reliability coefficient estimates , 2002 .
[53] Sik-Yum Lee,et al. Analysis of structural equation model with ignorable missing continuous and polytomous data , 2002 .
[54] J. H. Steiger. When constraints interact: a caution about reference variables, identification constraints, and scale dependencies in structural equation modeling. , 2002, Psychological methods.
[55] W. Poon,et al. Influential observations in the estimation of mean vector and covariance matrix. , 2002, The British journal of mathematical and statistical psychology.
[56] Ke-Hai Yuan,et al. Fitting structural equation models using estimating equations: a model segregation approach. , 2002, The British journal of mathematical and statistical psychology.
[57] K. Yuan,et al. Cross-validation by downweighting influential cases in structural equation modelling. , 2002, The British journal of mathematical and statistical psychology.
[58] K. Yuan,et al. A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers , 2002 .
[59] Chih-Ping Chou,et al. Model Modification in Structural Equation Modeling by Imposing Constraints , 2002, Comput. Stat. Data Anal..
[60] M. Victoria-Feser,et al. High-breakdown estimation of multivariate mean and covariance with missing observations. , 2002, The British journal of mathematical and statistical psychology.
[61] Sik-Yum Lee,et al. Maximum likelihood estimation of nonlinear structural equation models , 2002 .
[62] B. Muthén. BEYOND SEM: GENERAL LATENT VARIABLE MODELING , 2002 .
[63] K. Bollen. Latent variables in psychology and the social sciences. , 2002, Annual review of psychology.
[64] R. Carroll,et al. A Note on the Efficiency of Sandwich Covariance Matrix Estimation , 2001 .
[65] Craig K. Enders,et al. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. , 2001, Psychological methods.
[66] S Y Lee,et al. Hypothesis Testing and Model Comparison in Two-level Structural Equation Models , 2001, Multivariate behavioral research.
[67] G. Hancock. Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct , 2001 .
[68] Jian Qing Shi,et al. Maximum Likelihood Estimation of Two‐Level Latent Variable Models with Mixed Continuous and Polytomous Data , 2001 .
[69] K. Bollen,et al. Improper Solutions in Structural Equation Models , 2001 .
[70] P M Bentler,et al. Effect of outliers on estimators and tests in covariance structure analysis. , 2001, The British journal of mathematical and statistical psychology.
[71] Albert Maydeu-Olivares,et al. Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates , 2001 .
[72] Yasuo Amemiya,et al. Generalized Appended Product Indicator Procedure for Nonlinear Structural Equation Analysis , 2001 .
[73] B. Muthén. Latent Variable Mixture Modeling , 2001 .
[74] G. A. Marcoulides,et al. New developments and techniques in structural equation modeling , 2001 .
[75] Roger E. Millsap. When Trivial Constraints Are Not Trivial: The Choice of Uniqueness Constraints in Confirmatory Factor Analysis , 2001 .
[76] Samuel B. Green,et al. An Adjusted Bonferroni Method for Elimination of Parameters in Specification Addition Searches , 2001 .
[77] George A. Marcoulides,et al. Can There Be Infinitely Many Models Equivalent to a Given Covariance Structure Model? , 2001 .
[78] Takahiro Hoshino,et al. BAYESIAN INFERENCE FOR FINITE MIXTURES IN CONFIRMATORY FACTOR ANALYSIS , 2001 .
[79] S. Morgenthaler. Robustness in Statistics , 2001 .
[80] T. Wansbeek. Measurement error and latent variables in econometrics , 2000 .
[81] Helfried Moosbrugger,et al. Maximum likelihood estimation of latent interaction effects with the LMS method , 2000 .
[82] L. Stefanski. Measurement Error Models , 2000 .
[83] A local influence approach to identifying multiple multivariate outliers. , 2000, The British journal of mathematical and statistical psychology.
[84] S Y Lee,et al. Statistical analysis of nonlinear structural equation models with continuous and polytomous data. , 2000, The British journal of mathematical and statistical psychology.
[85] K. Yuan,et al. 5. Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data , 2000 .
[86] P M Bentler,et al. Robust transformation with applications to structural equation modelling. , 2000, The British journal of mathematical and statistical psychology.
[87] Ke-Hai Yuan,et al. Robust mean and covariance structure analysis through iteratively reweighted least squares , 2000 .
[88] Ke-Hai Yuan,et al. A Unified Approach to Multi-group Structural Equation Modeling with Nonstandard Samples , 2000 .
[89] Ke-Hai Yuan,et al. Inferences on Correlation Coefficients in Some Classes of Nonnormal Distributions , 2000 .
[90] Albert Satorra,et al. Innovations in multivariate statistical analysis : a festschrift for Heinz Neudecker , 2000 .
[91] Karl G. Jöreskog,et al. Robust standard errors and Chi-Squares for the interaction models , 2000 .
[92] R. MacCallum,et al. Applications of structural equation modeling in psychological research. , 2000, Annual review of psychology.
[93] Gerhard Arminger,et al. Mixtures of conditional mean- and covariance-structure models , 1999 .
[94] Ke-Hai Yuan,et al. F Tests for Mean and Covariance Structure Analysis , 1999 .
[95] Albert Satorra,et al. A scaled difference chi-square test statistic for moment structure analysis , 1999 .
[96] Albert Satorra,et al. Scaled and Adjusted Restricted Tests in Multi Sample Analysis of Moment Structures , 1999 .
[97] Ke-Hai Yuan,et al. On asymptotic distributions of normal theory MLE in covariance structure analysis under some nonnormal distributions , 1999 .
[98] K. Yuan,et al. Structural Equation Modeling with Small Samples: Test Statistics. , 1999, Multivariate behavioral research.
[99] P. Bentler,et al. ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines , 1999 .
[100] R. MacCallum,et al. Sample size in factor analysis. , 1999 .
[101] Terry E. Duncan,et al. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition , 1999 .
[102] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[103] Gregory R. Hancock. A sequential Scheffé‐type respecification procedure for controlling type I error in exploratory structural equation model modification , 1999 .
[104] Ke-Hai Yuan,et al. ON NORMAL THEORY AND ASSOCIATED TEST STATISTICS IN COVARIANCE STRUCTURE ANALYSIS UNDER TWO CLASSES OF NONNORMAL DISTRIBUTIONS , 1999 .
[105] P M Bentler,et al. Normal theory based test statistics in structural equation modelling. , 1998, The British journal of mathematical and statistical psychology.
[106] Geert Molenberghs,et al. Likelihood Based Frequentist Inference When Data Are Missing at Random , 1998 .
[107] K. Yuan,et al. 9. Structural Equation Modeling with Robust Covariances , 1998 .
[108] R E Millsap,et al. Group Differences in Regression Intercepts: Implications for Factorial Invariance. , 1998, Multivariate behavioral research.
[109] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[110] Man-Lai Tang,et al. Theory and method for constrained estimation in structural equation models with incomplete data , 1998 .
[111] Ke-Hai Yuan,et al. Asymptotics of Estimating Equations under Natural Conditions , 1998 .
[112] K. Yuan,et al. Robust mean and covariance structure analysis. , 1998, The British journal of mathematical and statistical psychology.
[113] Man-Lai Tang,et al. Analysis of structural equation models with censored or truncated data via EM algorithm , 1998 .
[114] Yutaka Kano,et al. Improper Solutions in Exploratory Factor Analysis: Causes and Treatments , 1998 .
[115] Wai-Yin Poon,et al. ANALYSIS OF TWO-LEVEL STRUCTURAL EQUATION MODELS VIA EM TYPE ALGORITHMS , 1998 .
[116] P. Bentler,et al. Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .
[117] Peter M. Bentler,et al. Improving parameter tests in covariance structure analysis , 1997 .
[118] Man-Lai Tang,et al. Analysis of structural equation models with censored data , 1997 .
[119] Roger E. Millsap,et al. Invariance in measurement and prediction: Their relationship in the single-factor case. , 1997 .
[120] Yiu-Fai Yung,et al. Finite mixtures in confirmatory factor-analysis models , 1997 .
[121] Bengt Muthen,et al. 10. Latent Variable Modeling of Longitudinal and Multilevel Data , 1997 .
[122] Ke-Hai Yuan,et al. Mean and Covariance Structure Analysis: Theoretical and Practical Improvements , 1997 .
[123] O. Nelles,et al. An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.
[124] David M. Rocke. Robustness properties of S-estimators of multivariate location and shape in high dimension , 1996 .
[125] R. MacCallum,et al. Power analysis and determination of sample size for covariance structure modeling. , 1996 .
[126] Sik-Yum Lee,et al. Sensitivity analysis of structural equation models , 1996 .
[127] P. Bentler,et al. Bootstrapping Techniques in Analysis of Mean and Covariance Structures , 1996 .
[128] T. Ferguson. A Course in Large Sample Theory , 1996 .
[129] S. West,et al. The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. , 1996 .
[130] P M Bentler,et al. A two-stage estimation of structural equation models with continuous and polytomous variables. , 1995, The British journal of mathematical and statistical psychology.
[131] Clifford C. Clogg,et al. Latent Variables Analysis: Applications for Developmental Research. , 1995 .
[132] Clifford C. Clogg,et al. Handbook of statistical modeling for the social and behavioral sciences , 1995 .
[133] G. Arminger,et al. Specification and Estimation of Mean- and Covariance-Structure Models , 1995 .
[134] D. Ruppert,et al. Measurement Error in Nonlinear Models , 1995 .
[135] A. Rotnitzky,et al. A note on the bias of estimators with missing data. , 1994, Biometrics.
[136] Conor V. Dolan,et al. Factor analysis of variables with 2, 3, 5, and 7 response categories: A comparison of categorical variable estimators using simulated data , 1994 .
[137] Karl G. Jöreskog,et al. On the estimation of polychoric correlations and their asymptotic covariance matrix , 1994 .
[138] Wai-Yin Poon,et al. A distribution free approach for analysis of two-level structural equation model , 1994 .
[139] B. Muthén,et al. Multilevel Covariance Structure Analysis , 1994 .
[140] A. Satorra,et al. Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .
[141] Tom Wansbeek,et al. Identification, Equivalent Models, and Computer Algebra , 1994 .
[142] W. Meredith. Measurement invariance, factor analysis and factorial invariance , 1993 .
[143] Nicholas T. Longford. Regression analysis of multilevel data with measurement error , 1993 .
[144] W. Fung,et al. Unmasking Outliers and Leverage Points: A Confirmation , 1993 .
[145] Peter M. Bentler,et al. Statistical Inference Based on Pseudo-Maximum Likelihood Estimators in Elliptical Populations , 1993 .
[146] J. S. Long,et al. Testing Structural Equation Models , 1993 .
[147] R. Stine,et al. Bootstrapping Goodness-of-Fit Measures in Structural Equation Models , 1992 .
[148] M. Browne,et al. Alternative Ways of Assessing Model Fit , 1992 .
[149] Yutaka Kano,et al. Robust statistics for test-of-independence and related structural models , 1992 .
[150] D. Ruppert. Computing S Estimators for Regression and Multivariate Location/Dispersion , 1992 .
[151] Y Kano,et al. Can test statistics in covariance structure analysis be trusted? , 1992, Psychological bulletin.
[152] R. MacCallum,et al. Model modifications in covariance structure analysis: the problem of capitalization on chance. , 1992, Psychological bulletin.
[153] M. Browne,et al. Automated Fitting of Nonstandard Models. , 1992, Multivariate behavioral research.
[154] Peter M. Bentler,et al. Structural equation models with continuous and polytomous variables , 1992 .
[155] Albert Satorra,et al. Asymptotic robust inferences in the analysis of mean and covariance structures , 1992 .
[156] H. P. Lopuhaä. Multivariate τ‐estimators for location and scatter , 1991 .
[157] P. Bentler,et al. Robustness of normal theory statistics in structural equation models , 1991 .
[158] Kenneth A. Bollen,et al. OBSERVATIONAL RESIDUALS IN FACTOR ANALYSIS AND STRUCTURAL EQUATION MODELS , 1991 .
[159] Sik-Yum Lee,et al. Multilevel analysis of structural equation models , 1990 .
[160] Albert Satorra,et al. Model Conditions for Asymptotic Robustness in the Analysis of Linear Relations , 1990 .
[161] T. W. Anderson,et al. Asymptotic Chi-Square Tests for a Large Class of Factor Analysis Models , 1990 .
[162] Michael E. Sobel,et al. Pseudo-Maximum Likelihood Estimation of Mean and Covariance Structures with Missing Data , 1990 .
[163] William Meredith,et al. Latent curve analysis , 1990 .
[164] P. Bentler,et al. Comparative fit indexes in structural models. , 1990, Psychological bulletin.
[165] P. Rousseeuw,et al. Unmasking Multivariate Outliers and Leverage Points , 1990 .
[166] P. Bentler,et al. Model Modification in Covariance Structure Modeling: A Comparison among Likelihood Ratio, Lagrange Multiplier, and Wald Tests. , 1990, Multivariate behavioral research.
[167] H. P. Lopuhaä. On the relation between S-estimators and M-estimators of multivariate location and covariance , 1989 .
[168] S. Kotz,et al. Symmetric Multivariate and Related Distributions , 1989 .
[169] Harvey Goldstein,et al. Balanced versus unbalanced designs for linear structural relations in two‐level data , 1989 .
[170] B. Muthén. Latent variable modeling in heterogeneous populations , 1989 .
[171] R. P. McDonald,et al. Structural Equations with Latent Variables , 1989 .
[172] B. Byrne,et al. Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .
[173] Bengt Muthén,et al. Multiple-group structural modelling with non-normal continuous variables. , 1989 .
[174] A. Satorra. Alternative test criteria in covariance structure analysis: A unified approach , 1989 .
[175] Q. Vuong. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .
[176] Peter M. Bentler,et al. EQS : structural equations program manual , 1989 .
[177] T. Micceri. The unicorn, the normal curve, and other improbable creatures. , 1989 .
[178] Harvey Goldstein,et al. A general model for the analysis of multilevel data , 1988 .
[179] A. Shapiro,et al. Robustness of normal theory methods in the analysis of linear latent variate models. , 1988 .
[180] Peter M. Bentler,et al. Estimation of Contamination Parameters and Identification of Outliers in Multivariate Data , 1988 .
[181] T. W. Anderson,et al. The asymptotic normal distribution of estimators in factor analysis under general conditions , 1988 .
[182] James C. Anderson,et al. STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .
[183] R. Little. Robust Estimation of the Mean and Covariance Matrix from Data with Missing Values , 1988 .
[184] Wai-Yin Poon,et al. Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients , 1988 .
[185] N M Laird,et al. Missing data in longitudinal studies. , 1988, Statistics in medicine.
[186] H. Goldstein. Multilevel Statistical Models , 2006 .
[187] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[188] A. Shapiro,et al. Analysis of Covariance Structures under Elliptical Distributions , 1987 .
[189] Jan de Leeuw,et al. On the relationship between item response theory and factor analysis of discretized variables , 1987 .
[190] Bengt Muthén,et al. On structural equation modeling with data that are not missing completely at random , 1987 .
[191] Kenneth A. Bollen,et al. Outliers and Improper Solutions , 1987 .
[192] J J McArdle,et al. Latent growth curves within developmental structural equation models. , 1987, Child development.
[193] P. Bentler,et al. Multiple population covariance structure analysis under arbitrary distribution theory , 1987 .
[194] P. Allison. Estimation of Linear Models with Incomplete Data , 1987 .
[195] E. Ziegel. Multivariate Analysis VI , 1986 .
[196] Yutaka Kano. Conditions on Consistency of Estimators in Covariance Structure Model , 1986 .
[197] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[198] Sik-Yum Lee,et al. Estimation for structural equation models with missing data , 1986 .
[199] R. Beran. Simulated Power Functions , 1986 .
[200] Werner A. Stahel,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[201] Ab Mooijaart,et al. Factor analysis for non-normal variables , 1985 .
[202] A. Shapiro,et al. On the multivariate asymptotic distribution of sequential Chi-square statistics , 1985 .
[203] A. Boomsma. Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation , 1985 .
[204] Sik-Yum Lee,et al. On testing functional constraints in structural equation models , 1985 .
[205] A. Satorra,et al. Power of the likelihood ratio test in covariance structure analysis , 1985 .
[206] R. Beran,et al. Bootstrap Tests and Confidence Regions for Functions of a Covariance Matrix , 1985 .
[207] David Rindskopf,et al. Structural Equation Models , 1984 .
[208] James C. Anderson,et al. The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis , 1984 .
[209] Alexander Shapiro. A note on the consistency of estimators in the analysis of moment structures , 1984 .
[210] C. Gouriéroux,et al. PSEUDO MAXIMUM LIKELIHOOD METHODS: THEORY , 1984 .
[211] M. Browne. Asymptotically distribution-free methods for the analysis of covariance structures. , 1984, The British journal of mathematical and statistical psychology.
[212] B. Muthén. A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators , 1984 .
[213] R. Engle. Wald, likelihood ratio, and Lagrange multiplier tests in econometrics , 1984 .
[214] P. Green. Iteratively reweighted least squares for maximum likelihood estimation , 1984 .
[215] P. Bentler. Some contributions to efficient statistics in structural models: Specification and estimation of moment structures , 1983 .
[216] David E. Tyler. Robustness and efficiency properties of scatter matrices , 1983 .
[217] C. Brown,et al. Asymptotic comparison of missing data procedures for estimating factor loadings , 1983 .
[218] Claes Fornell,et al. Issues in the Application of Covariance Structure Analysis: A Comment , 1983 .
[219] Alexander Shapiro,et al. Asymptotic distribution theory in the analysis of covariance structures , 1983 .
[220] Sik-Yum Lee,et al. Covariance structure analysis in several populations , 1982 .
[221] Herman Wold,et al. Systems under indirect observation : causality, structure, prediction , 1982 .
[222] H. White. Maximum Likelihood Estimation of Misspecified Models , 1982 .
[223] P. Bentler,et al. Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .
[224] N. Campbell. Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation , 1980 .
[225] D. G. Weeks,et al. Linear structural equations with latent variables , 1980 .
[226] Bentler,et al. Some asymptotic properties of constrained generalized least squares estimation in coy ariance structure models , 1980 .
[227] R. Muirhead,et al. Asymptotic distributions in canonical correlation analysis and other multivariate procedures for nonnormal populations , 1980 .
[228] Carl T. Finkbeiner. Estimation for the multiple factor model when data are missing , 1979 .
[229] U. Olsson. On The Robustness Of Factor Analysis Against Crude Classification Of The Observations. , 1979, Multivariate behavioral research.
[230] Robert I. Jennrich,et al. A study of algorithms for covariance structure analysis with specific comparisons using factor analysis , 1979 .
[231] G. Box. Robustness in the Strategy of Scientific Model Building. , 1979 .
[232] B. Efron,et al. Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information , 1978 .
[233] O. P. V. Driel,et al. On various causes of improper solutions in maximum likelihood factor analysis , 1978 .
[234] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[235] R. Maronna. Robust $M$-Estimators of Multivariate Location and Scatter , 1976 .
[236] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[237] D. Sörbom. A GENERAL METHOD FOR STUDYING DIFFERENCES IN FACTOR MEANS AND FACTOR STRUCTURE BETWEEN GROUPS , 1974 .
[238] F. Hampel. The Influence Curve and Its Role in Robust Estimation , 1974 .
[239] Robert I. Jennrich,et al. SIMPLIFIED FORMULAE FOR STANDARD ERRORS IN MAXIMUM‐LIKELIHOOD FACTOR ANALYSIS , 1974 .
[240] Arthur S. Goldberger,et al. Structural Equation Models in the Social Sciences. , 1974 .
[241] M. Browne. Generalized Least Squares Estimators in the Analysis of Covariance Structures. , 1973 .
[242] T. W. F. Stroud,et al. Fixed Alternatives and Wald's Formulation of the Noncentral Asymptotic Behavior of the Likelihood Ratio Statistic , 1972 .
[243] K. Jöreskog. Simultaneous factor analysis in several populations , 1971 .
[244] K. Mardia. Measures of multivariate skewness and kurtosis with applications , 1970 .
[245] K. Jöreskog. A General Method for Estimating a Linear Structural Equation System. , 1970 .
[246] N. Sugiura,et al. Asymptotic Expansions of the Distributions of the Likelihood Ratio Criteria for Covariance Matrix , 1969 .
[247] H. L. Le Roy,et al. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV , 1969 .
[248] K. Jöreskog. Some contributions to maximum likelihood factor analysis , 1967 .
[249] P. J. Huber. The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .
[250] Calyampudi R. Rao,et al. Linear Statistical Inference and Its Applications. , 1975 .
[251] P. J. Huber. Robust Estimation of a Location Parameter , 1964 .
[252] W. Rudin. Principles of mathematical analysis , 1964 .
[253] A. E. Maxwell,et al. Factor Analysis as a Statistical Method. , 1964 .
[254] Thomas S. Ferguson,et al. A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities , 1958 .
[255] J. Aitchison,et al. Maximum-Likelihood Estimation of Parameters Subject to Restraints , 1958 .
[256] Calyampudi R. Rao. Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation , 1948, Mathematical Proceedings of the Cambridge Philosophical Society.
[257] J. Tukey,et al. Multiple-Factor Analysis , 1947 .
[258] A. Wald. Tests of statistical hypotheses concerning several parameters when the number of observations is large , 1943 .
[259] K. Holzinger,et al. A study in factor analysis : the stability of a bi-factor solution , 1939 .
[260] C. Spearman. General intelligence Objectively Determined and Measured , 1904 .