Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices

[1]  Wayne F. Velicer,et al.  The Effects of Underextraction in Factor and Component Analyses , 1996 .

[2]  R. Goffin.  A Comparison of Two New Indices for the Assessment of Fit of Structural Equation Models , 1993 .

[3]  James C. Anderson,et al.  Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models , 1992 .

[4]  Y Kano,et al.  Can test statistics in covariance structure analysis be trusted? , 1992, Psychological bulletin.

[5]  W F Velicer,et al.  An Empirical Comparison of Factor, Image, Component, and Scale Scores. , 1992, Multivariate behavioral research.

[6]  W. Velicer,et al.  The Effects of Overextraction on Factor and Component Analysis. , 1992, Multivariate behavioral research.

[7]  B. Muthén,et al.  A comparison of some methodologies for the factor analysis of non‐normal Likert variables: A note on the size of the model , 1992 .

[8]  R. L. Brown,et al.  The Robustness of 2SLS Estimation of a Non-normally Distributed Confirmatory Factor Analysis Model. , 1990, Multivariate behavioral research.

[9]  R. P. McDonald,et al.  Choosing a multivariate model: Noncentrality and goodness of fit. , 1990 .

[10]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[11]  R. P. McDonald,et al.  An index of goodness-of-fit based on noncentrality , 1989 .

[12]  Jeffrey S. Tanaka,et al.  Influence of sample size, estimation method, and model specification on goodness-of-fit assessments in structural equation models. , 1989 .

[13]  S. Mulaik,et al.  EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS , 1989 .

[14]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[15]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[16]  W. Velicer,et al.  Relation of sample size to the stability of component patterns. , 1988, Psychological bulletin.

[17]  W F Velicer,et al.  An Evaluation of the Effects of Variable Sampling On Component, Image, and Factor Analysis. , 1987, Multivariate behavioral research.

[18]  James C. Anderson,et al.  Improper solutions in the analysis of covariance structures: Their interpretability and a comparison of alternate respecifications , 1987 .

[19]  Lisa L. Harlow,et al.  Robust Structural Equation Models: Implications for Developmental Psychology. , 1987 .

[20]  W. Velicer,et al.  Comparison of five rules for determining the number of components to retain. , 1986 .

[21]  Lisa L. Harlow,et al.  Behavior of some elliptical theory estimators with nonnormal data in a covariance structures framework: A Monte Carlo study. , 1986 .

[22]  B. Muthén,et al.  A comparison of some methodologies for the factor analysis of non‐normal Likert variables , 1985 .

[23]  James C. Anderson,et al.  The Effects of Sampling Error and Model Characteristics on Parameter Estimation for Maximum Likelihood Confirmatory Factor Analysis. , 1985, Multivariate behavioral research.

[24]  A. Boomsma.  Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation , 1985 .

[25]  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 .

[26]  L. Harlow,et al.  Comparison of Maximum Likelihood, Generalized Least Squares, Ordinary Least Squares, and Asymptotically Distribution Free Parameter Estimates in Drug Abuse Latent Variable Causal Models , 1983 .

[27]  J. S. Long,et al.  Covariance Structure Models: An Introduction to LISREL , 1983 .

[28]  J. Hoelter.  The Analysis of Covariance Structures , 1983 .

[29]  Subhash Sharma,et al.  Sample size effects on chi square and other statistics used in evaluating causal models. , 1982 .

[30]  D. Jackson,et al.  A Comparison Of Component And Factor Patterns: A Monte Carlo Approach. , 1982, Multivariate behavioral research.

[31]  W F Velicer,et al.  Factors Influencing Four Rules For Determining The Number Of Components To Retain. , 1982, Multivariate behavioral research.

[32]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[33]  J. H. Steiger.  Statistically based tests for the number of common factors , 1980 .

[34]  Wayne F. Velicer,et al.  A Comparison of the Stability of Factor Analysis, Principal Component Analysis, and Rescaled Image Analysis , 1974 .

[35]  M. Browne.  Generalized Least Squares Estimators in the Analysis of Covariance Structures. , 1973 .

[36]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .