Abstract
The field of linear structural equation modeling with continuous variables is reviewed. Trends in psychometric theory and data analysis across the five decades of publication ofPsychometrika are discussed, especially the clarification of concepts of population and sample, explication of the parametric structure of models, delineation of concepts of exploratory and confirmatory data analysis, expansion of statistical theory in psychometrics, estimation via optimization of an explicit objective function, and implementation of general function minimization methods. Developments in the ideas of factor analysis, latent variables, as well as structural and causal modeling are noted. Some major conceptual achievements involving general covariance structure representations, multiple population models, and moment structures are reviewed. The major statistical achievements of normal theory generalized least squares estimation, elliptical and distribution-free estimation, and higher-moment estimation are discussed. Computer programs that implement some of the theoretical developments are described.
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Aigner, D. J., & Goldberger, A. S. (Eds.). (1977).Latent variables in socioeconomic models. Amsterdam: North-Holland.
Aigner, D. J., Hsiao, C., Kapteyn, A., & Wansbeek, T. (1984). Latent variable models in econometrics. In Z. Griliches & M. D. Intriligator (Eds.),Handbook of econometrics, Vol. 2 (pp. 1321–1393). Amsterdam: North-Holland.
Amemiya, Y., & Fuller, W. A. (1984). Estimation for the multivariate errors-in-variables model with estimated error covariance matrix.The Annals of Statistics, 12, 497–509.
Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analyses.Psychometrika, 49, 155–173.
Anderson, T. W. (1973). Asymptotically efficient estimation of covariance matrices with linear structure.The Annals of Statistics, 1, 135–141.
Anderson, T. W. (1984). Estimating linear statistical relationships.The Annals of Statistics, 12, 1–45.
Anderson, T. W., & Rubin, H. (1956). Statistical inference in factor analysis.Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability (pp. 111–150). Berkeley: University of California Press.
Bartholomew, D. J. (1984). The foundations of factor analysis.Biometrika, 71, 221–232.
Bearden, W. O., Sharma, S., & Teel, J. E. (1982). Sample size effects on chi-square and other statistics used in evaluating causal models.Journal of Marketing Research, 19, 425–430.
Bechtold, H. P. (1961). An empirical study of the factor analysis stability hypothesis.Psychometrika, 26, 405–432.
Bentler, P. M. (1968). Alpha-maximized factor analysis (Alphamax): Its relation to alpha and canonical factor analysis.Psychometrika, 33, 335–345.
Bentler, P. M. (1976). Multistructure statistical model applied to factor analysis.Multivariate Behavioral Research, 11, 3–25.
Bentler, P. M. (1982). Linear systems with multiple levels and types of latent variables. In K. G. Jöreskog & H. Wold (Eds.),Systems under indirect observation: Causality, structure, prediction, Pt. I (pp. 101–130). Amsterdam: North-Holland.
Bentler, P. M. (1983). Some contributions to efficient statistics in structural models: Specification and estimation of moment structures.Psychometrika, 48, 493–517.
Bentler, P. M. (1985).Theory and implementation of EQS, a structural equations program. Los Angeles: BMDP Statistical Software.
Bentler, P. M., & Berkane, M. (in press). The greatest lower bound to the elliptical kurtosis parameter.Biometrika.
Bentler, P. M., & Dijkstra, T. (1985). Efficient estimation via linearization in structural models. In P. R. Krishnaiah (Ed.),Multivariate analysis VI (pp. 9–42). Amsterdam: North-Holland.
Bentler, P. M., & Lee, S.-Y. (1979). A statistical development of three-mode factor analysis.British Journal of Mathematical and Statistical Psychology, 32, 87–104.
Bentler, P. M., & Lee, S.-Y. (1983). Covariance structures under polynomial constraints: Applications to correlation and alpha-type structural models.Journal of Educational Statistics, 8, 207–222, 315–317.
Bentler, P. M., & Weeks, D. G. (1978). Restricted multidimensional scaling models.Journal of Mathematical Psychology, 17, 138–151.
Bentler, P. M., & Weeks, D. G. (1979). Interrelations among models for the analysis of moment structures.Multivariate Behavioral Research, 14, 169–185.
Bentler, P. M., & Weeks, D. G. (1980). Linear structural equations with latent variables.Psychometrika, 45, 289–308.
Bentler, P. M., & Weeks, D. G. (1982). Multivariate analysis with latent variables. In P. R. Krishnaiah & L. Kanal (Eds.),Handbook of statistics (pp. 747–771). Amsterdam: North-Holland.
Bentler, P. M., & Weeks, D. G. (1985). Some comments on structural equation models.British Journal of Mathematical and Statistical Psychology, 38, 120–121.
Berkane, M., & Bentler, P. M. (1985). Tests for homogeneity of kurtoses. In preparation.
Berkson, J. (1980). Minimum chi-square, not maximum likelihood!The Annals of Statistics, 8, 457–487.
Blalock, H. M. (1964).Causal inferences in nonexperimental research. Chapel Hill: University of North Carolina.
Blalock, H. M. (Ed.). (1971).Causal models in the social sciences. Chicago: Aldine-Atherton.
Bloxom, B. (1968). A note on invariance in three-mode factor analysis.Psychometrika, 33, 347–350.
Bloxom, B. (1978). Constrained multidimensional scaling inN spaces.Psychometrika, 43, 397–408.
Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of anEM algorithm.Psychometrika, 46, 443–459.
Bock, R. D., & Bargmann, R. E. (1966). Analysis of covariance structures.Psychometrika, 31, 507–534.
Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in LISREL maximum likelihood estimation.Psychometrika, 50, 229–242.
Browne, M. W. (1968). A comparison of factor analytic techniques.Psychometrika, 33, 267–334.
Browne, M. W. (1974). Generalized least squares estimators in the analysis of covariance structures.South African Statistical Journal, 8, 1–24.
Browne, M. W. (1982). Covariance structures. In D. M. Hawkins (Ed.),Topics in applied multivariate analysis (pp. 72–141). London: Cambridge University Press.
Browne, M. W. (1984a). The decomposition of multitrait-multimethod matrices.British Journal of Mathematical and Statistical Psychology, 37, 1–21.
Browne, M. W. (1984b). Asymptotically distribution free methods for the analysis of covariance structures.British Journal of Mathematical and Statistical Psychology, 37, 62–83.
Burguete, J. F., Gallant, A. R., & Souza, G. (1982). On the unification of the asymptotic theory of nonlinear econometric models.Econometric Reviews, 1, 151–190.
Cambanis, S., Huang, S., & Simons, G. (1981). On the theory of elliptically contoured distributions.Journal of Multivariate Analysis, 11, 368–385.
Chan, N. N., & Mak, T. K. (1983). Estimation of multivariate linear relationships.Biometrika, 70, 263–267.
Corballis, M. C., & Traub, R. E. (1970). Longitudinal factor analysis.Psychometrika, 35, 79–98.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests.Psychometrika, 16, 297–334.
Cronbach, L. J. (1957). The two disciplines of scientific psychology.American Psychologist, 12, 671–684.
Derflinger, G. (1984). A loss function for alpha factor analysis.Psychometrika, 49, 325–330.
Dijkstra, T. (1983). Some comments on maximum likelihood and partial least squares methods.Journal of Econometrics, 22, 67–90.
Duncan, O. D. (1966). Path analysis: Sociological examples.American Journal of Sociology, 72, 1–16.
Dunlap, J. W. (1961). Psychometrics—a special case of the Brahman theory.Psychometrika, 26, 65–71.
Dunlap, J. W., & Cureton, E. E. (1930). On the analysis of causation.Journal of Educational Psychology, 21, 657–680.
Durbin J. (1954). Errors in variables.Review of the International Statistics Institute, 1, 23–32.
Engelhart, M. D. (1936). The technique of path coefficients.Psychometrika, 1, 287–293.
Etezadi-Amoli, J., & McDonald, R. P. (1983). A second generation nonlinear factor analysis.Psychometrika, 48, 315–342.
Finkbeiner, C. T., & Tucker, L. R. (1982). Approximate uniqueness estimates for singular correlation matrices.Psychometrika, 47, 517–521.
Frisch, R. (1934).Statistical confluence analysis by means of complete regression systems (Economics Institute Publication No. 5). Oslo: Oslo University.
Gleser, L. J. (1981). Estimation in a multivariate “errors in variables” regression model: Large sample results.The Annals of Statistics, 9, 24–44.
Goldberger, A. S. (1971). Econometrics and psychometrics: A survey of communalities.Psychometrika, 36, 83–107.
Goldberger, A. S., & Duncan, O. D. (Eds.). (1973).Structural equation models in the social sciences. New York: Seminar.
Gollob, H. F. (1968). A statistical model which combines features of factor analytic and analysis of variance techniques.Psychometrika, 33, 73–115.
Gourieroux, C., Monfort, A., & Trognon, A. (1984). Pseudo maximum likelihood methods: Theory.Econometrica, 52, 681–700.
Griliches, Z. (1977). Errors in variables and other unobservables. In D. J. Aigner & A. S. Goldberger (Eds.),Latent variables in socioeconomic models (pp. 1–33). Amsterdam: North-Holland.
Gulliksen, H. (1950).Theory of mental tests. New York: Wiley.
Guttman, L. (1952). Multiple group methods for common factor analysis: Their basis, computation, and interpretation.Psychometrika, 17, 209–222.
Guttman, L. (1953). Image theory for the structure of quantitative variates.Psychometrika, 18, 277–296.
Guttman, L. (1954). A new approach to factor analysis: The radex. In P. F. Lazarsfeld (Ed.),Mathematical thinking in the social sciences (pp. 258–348). Glencoe, IL: The Free Press.
Harlow, L. L. (1985).Behavior of some elliptical theory estimators with nonnormal data in a covariance structures framework: A Monte Carlo study. Unpublished doctoral dissertation, University of California, Los Angeles.
Harman, H. H. (1969). Retrospective anticipation.Psychometrika, 34, 407–420.
Harris, C. W. (1978). Note on the squared multiple correlation as a lower-bound to communality.Psychometrika, 43, 283–284.
Hausman, J. A. (1977). Errors in variables in simultaneous equation models.Journal of Econometrics, 5, 389–401.
Hurwicz, L., & Anderson, T. W. (1946).Statistical models with disturbances in equations and/or disturbances in variables. Unpublished Cowles Commission memoranda.
Jackson, D. J., & Tweed, D. L. (1980). Note on the squared multiple correlation as a lower bound to communality.Psychometrika, 45, 281–284.
Jennrich, R. I., & Clarkson, D. B. (1980). A feasible method for standard errors of estimate in maximum likelihood factor analysis.Psychometrika, 45, 237–247.
Jöreskog, K. G. (1967). Some contributions to maximum likelihood factor analysis.Psychometrika, 34, 443–482.
Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis.Psychometrika, 34, 183–202.
Jöreskog, K. G. (1970). A general method for analysis of covariance structures.Biometrika, 57, 239–251.
Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations.Psychometrika, 36, 409–426.
Jöreskog, K. G. (1977). Structural equation models in the social sciences: Specification, estimation and testing. In P. R. Krishnaiah (Ed.),Application of statistics (p. 265–287). Amsterdam: North-Holland.
Jöreskog, K. G. (1978). Structural analysis of covariance and correlation matrices.Psychometrika, 43, 443–477.
Jöreskog, K. G., & Goldberger, A. S. (1972). Factor analysis by generalized least squares.Psychometrika, 37, 243–260.
Jöreskog, K. G., & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable.Journal of the American Statistical Association, 70, 631–639.
Jöreskog, K. G., & Sörbom, D. (1983).LISREL user's guide. Chicago: International Educational Services.
Jöreskog, K. G., & Van Thillo, M. (1973).LISREL—A general computer program for estimating a linear structural equation system involving multiple indicators of unmeasured variables (Research Report 73-5). Uppsala: Uppsala University, Department of Statistics.
Kagan, A. M., Linnik, Y. V., & Rao, C. R. (1973).Characterization problems in mathematical statistics. New York: Wiley.
Kaiser, H. F., & Caffrey, J. (1965). Alpha factor analysis.Psychometrika, 30, 1–14.
Kenny, D. A., & Judd, C. M. (1984). Estimating the nonlinear and interactive effects of latent variables.Psychological Bulletin, 96, 201–210.
Klepper, S., & Leamer, E. E. (1984). Consistent sets of regressions with errors in all variables.Econometrica, 52, 163–183.
Krane, W. R., & McDonald, R. P. (1978). Scale invariance and the factor analysis of correlation matrices.British Journal of Mathematical and Statistical Psychology, 31, 218–228.
Krishnaiah, P. R., & Lee, J. C. (1974). On covariance structures.Sankhya, 38, 357–371.
Lawley, D. N. (1940). The estimation of factor loadings by the method of maximum likelihood.Proceedings of the Royal Society of Edinburgh, A60, 64–82.
Lawley, D. N. (1958). Estimation in factor analysis under various initial assumptions.British Journal of Statistical Psychology, 11, 1–12.
Lawley, D. N. (1967). Some new results in maximum likelihood factor analysis.Proceedings of the Royal Society of Edinburgh, A67, 256–264.
Lee, S.-Y. (1981). A Bayesian approach to confirmatory factor analysis.Psychometrika, 46, 153–160.
Lee, S.-Y. (1985a). Analysis of covariance and correlation structures.Computational Statistics & Data Analysis, 2, 279–295.
Lee, S.-Y. (1985b). On testing functional constraints in structural equation models.Biometrika, 72, 125–131.
Lee, S.-Y., & Bentler, P. M. (1980). Some asymptotic properties of constrained generalized least squares estimation in covariance structure models.South African Statistical Journal, 14, 121–136.
Lee, S.-Y., & Jennrich, R. I. (1979). A study of algorithms for covariance structure analysis with specific comparisons using factor analysis.Psychometrika, 44, 99–113.
Lee, S.-Y., & Tsui, K. L. (1982). Covariance structure analysis in several populations.Psychometrika, 47, 297–308.
Levin, J. (1966). Simultaneous factor analysis of several Gramian matrices.Psychometrika, 31, 413–419.
Lockhart, R. S. (1967). Asymptotic sampling variances for factor analytic models identified by specified zero parameters.Psychometrika, 32, 265–277.
Luenberger, D. G. (1984).Linear and nonlinear programming (2nd ed.). Reading, MA: Addison-Wesley.
Madansky, A. (1959). The fitting of straight lines when both variables are subject to error.Journal of the American Statistical Association, 54, 173–205.
McArdle, J. J., & McDonald, R. P. (1984). Some algebraic properties of the reticular action model for moment structures.British Journal of Mathematical and Statistical Psychology, 37, 234–251.
McDonald, R. P. (1962). A general approach to nonlinear factor analysis.Psychometrika, 27, 397–415.
McDonald, R. P. (1970a). The theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis.British Journal of Mathematical and Statistical Psychology, 23, 1–21.
McDonald, R. P. (1970b). Three common factor models for groups of variables.Psychometrika, 35, 111–128.
McDonald, R. P. (1978). A simple comprehensive model for the analysis of covariance structures.British Journal of Mathematical and Statistical Psychology, 31, 59–72.
McDonald, R. P. (1980). A simple comprehensive model for the analysis of covariance structures: Some remarks on applications.British Journal of Mathematical and Statistical Psychology, 33, 161–183.
McGaw, B., & Jöreskog, K. G. (1971). Factorial invariance of ability measures in groups differing in intelligence and socioeconomic status.British Journal of Mathematical and Statistical Psychology, 24, 154–168.
Meredith, W. (1964a). Canonical correlations with fallible data.Psychometrika, 29, 55–65.
Meredith, W. (1964b). Notes on factorial invariance.Psychometrika, 29, 177–185.
Meredith, W. (1965). A method for studying differences between groups.Psychometrika, 30, 15–29.
Mislevy, R. J. (1984). Estimating latent distributions.Psychometrika, 49, 359–381.
Mooijaart, A. (1983). Two kinds of factor analysis for ordered categorical variables.Multivariate Behavioral Research, 18, 423–441.
Mooijaart, A. (1985a). Factor analysis for non-normal variables.Psychometrika, 50, 323–342.
Mooijaart, A. (1985b). A note on computational efficiency in asymptotically distribution-free correlational methods.British Journal of Mathematical and Statistical Psychology, 38, 112–115.
Mooijaart, A., & Bentler, P. M. (in press-a). The weight matrix in asymptotic distribution-free methods.British Journal of Mathematical and Statistical Psychology.
Mooijaart, A., & Bentler, P. M. (in press-b). Random polynomial factor analysis.Proceedings of Fourth International Symposium: Data Analysis and Informatics.
Mosier, C. I. (1939). Determining a simple structure when loadings for certain tests are known.Psychometrika, 4, 149–162.
Muirhead, R. J. (1982).Aspects of multivariate statistical theory. New York: Wiley.
Muirhead, R. J., & Waternaux, C. (1980). Asymptotic distributions in canonical correlation analysis and other multivariate procedures for nonnormal populations.Biometrika, 67, 31–43.
Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators.Psychometrika, 49, 115–132.
Please, N. W. (1973). Comparison of factor loadings in different populations.British Journal of Mathematical and Statistical Psychology, 26, 61–89.
Pratt, J. W., & Schlaifer, R. (1984). On the nature and discovery of structure (with comments).Journal of the American Statistical Association, 79, 9–21.
Ramsey, J. O. (1975). Solving implicit equations in psychometric data analysis.Psychometrika, 40, 337–360.
Ramsey, J. O. (1977). Maximum likelihood estimation in multidimensional scaling.Psychometrika, 42, 241–246.
Rasch, G. (1953). On simultaneous factor analysis in several populations. InUppsala symposium on psychological factor analysis. Uppsala: Almqvist & Wiksell.
Rindskopf, D. (1984). Structural equation models: Empirical identification, Heywood cases, and related problems.Sociological Methods and Research, 13, 109–119.
Robinson, P. M. (1977). The estimation of a multivariate linear relation.Journal of Multivariate Analysis, 7, 409–423.
Roff, M. (1936). Some properties of the communality in multiple factor theory.Psychometrika, 1(2), 1–6.
Rothenberg, T. J. (1984). Approximating the distributions of econometric estimators and test statistics. In A. Griliches & M. D. Intriligator (Eds.),Handbook of econometrics, Vol. 2 (pp. 881–935). Amsterdam: North-Holland.
Satorra, A., & Saris, W. (1985). Power of the likelihood ratio test in covariance structure analysis.Psychometrika, 50, 83–90.
Schmid, J., & Leiman, J. (1957). The development of hierarchical factor solutions.Psychometrika, 22, 53–61.
Shapiro, A. (1983). Asymptotic distribution theory in the analysis of covariance structures.South African Statistical Journal, 17, 33–81.
Shapiro, A. (1985). Asymptotic distribution of test statistics in the analysis of moment structures under inequality constraints.Biometrika, 72, 133–144.
Simon, H. A. (1954). Spurious correlation: A causal interpretation.Journal of the American Statistical Association, 49, 467–479.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural models. In S. Leinhardt (Ed.),Sociological methodology 1982 (pp. 290–313). San Francisco: Jossey-Bass.
Sörbom, D. (1974). A general method for studying differences in factor means and factor structure between groups.British Journal of Mathematical and Statistical Psychology, 27, 229–239.
Sörbom, D. (1978). An alternative to the methodology for analysis of covariance.Psychometrika, 43, 381–396.
Sörbom, D. (1982). Structural equation models with structured means. In K. G. Jöreskog & H. Wold (Eds.),Systems under indirect observation (pp. 183–195). Amsterdam: North-Holland.
Spearman, C. (1904). “General intelligence” objectively determined and measured.American Journal of Psychology, 15, 201–292.
Srivastava, J. N. (1966). On testing hypotheses regarding a class of covariance structures.Psychometrika, 31, 147–164.
Steiger, J. H., & Browne, M. W. (1984). The comparison of interdependent correlations between optimal linear composites.Psychometrika, 49, 11–24.
Steiger, J. H., & Hakstian, A. R. (1982). The asymptotic distribution of elements of a correlation matrix: Theory and application.British Journal of Mathematical and Statistical Psychology, 35, 208–215.
Stroud, T. W. F. (1974). Comparing regressions when measurement error variances are known.Psychometrika, 39, 53–68.
Swain, A. J. (1975). A class of factor analytic estimation procedures with common asymptotic sampling properties.Psychometrika, 40, 315–335.
Tanaka, J. S. (1984).Some results on the estimation of covariance structure models. Unpublished doctoral dissertation, University of California, Los Angeles.
Tanaka, J. S., & Bentler, P. M. (1983). Factor invariance of premorbid social competence across multiple populations of schizophrenics.Multivariate Behavioral Research, 18, 135–146.
Tanaka, J. S., & Bentler, P. M. (1985). Quasi-likelihood estimation in asymptotically efficient covariance structure models.1984 Proceedings of the American Statistical Association, Social Statistics Section (pp. 658–662).
Thurstone, L. L. (1944). A multiple group method of factoring the correlation matrix.Psychometrika, 10, 73–80.
Thurstone, L. L. (1947).Multiple factor analysis. Chicago: Chicago University Press.
Tucker, L. R. (1955). The objective definition of simple structure in linear factor analysis.Psychometrika, 20, 209–225.
Tucker, L. R. (1966). Some mathematical notes on three-mode factor analysis.Psychometrika, 31, 279–311.
Tukey, J. W. (1954). Causation, regression and path analysis. In O. Kempthorne, T. A. Bancroft, J. W. Gowen, & J. L. Lush (Eds.),Statistics and mathematics in biology (pp. 35–66). Ames, IA: Iowa State College Press.
Tukey, J. W. (1977).Exploratory data analysis. Reading, MA: Addison-Wesley.
Tyler, D. E. (1982). Radial estimates and the test for sphericity.Biometrika, 69, 429–436.
Tyler, D. E. (1983). Robustness and efficiency properties of scatter matrices.Biometrika, 70, 411–420.
Van Praag, B. M. S., Dijkstra, T. K., & Van Velzen, J. (1985). Least squares theory based on general distributional assumptions with an application to the incomplete observations problem.Psychometrika, 50, 25–36.
Votaw, D. F. (1948). Testing compound symmetry in a normal multivariate population.Annals of Mathematical Statistics, 19, 189–196.
Werts, C. E., & Linn, R. L. (1970). Path analysis: Psychological examples.Psychological Bulletin, 74, 193–212.
Werts, C. E., Rock, D. A., Linn, R. L., & Jöreskog, K. G. (1976). Comparison of correlations, variances, covariances, and regression weights with or without measurement error.Psychological Bulletin, 83, 1007–1013.
White, H. (1982). Maximum likelihood estimation of misspecified models.Econometrica, 50, 1–25.
Wiley, D. E. (1973). The identification problem for structural equation models with unmeasured variables. In A. S. Goldberger & O. D. Duncan (Eds.),Structural equation models in the social sciences (pp. 69–83). New York: Seminar.
Wiley, D. E., Schmidt, W. H., & Bramble, W. J. (1973). Studies of a class of covariance structure models.Journal of the American Statistical Association, 68, 317–323.
Wilks, S. S. (1946). Sample criteria for testing equality of means, equality of variances, and equality of covariances in a normal multivariate distribution.Annals of Mathematical Statistics, 17, 257–281.
Wold, H. (1979). Model construction and evaluation when theoretical knowledge is scarce: Theory and application of partial least squares. In J. Kmenta & J. B. Ramsey (Eds.),Evaluation of econometric models (pp. 47–74). New York: Academic.
Woodward, J. A., & Bentler, P. M. (1978). A statistical lower-bound to population reliability.Psychological Bulletin, 85, 1323–1326.
Wright, S. (1934). The method of path coefficients.Annals of Mathematical Statistics, 5, 161–215.
Wright, S. (1960). Path coefficients and path regressions: Alternative or complementary concepts?Biometrics, 16, 189–202.
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This review was supported in part by USPHS grants DA00017 and DA01070.
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Bentler, P.M. Structural modeling and psychometrika: An historical perspective on growth and achievements. Psychometrika 51, 35–51 (1986). https://doi.org/10.1007/BF02293997
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DOI: https://doi.org/10.1007/BF02293997