Most papers can be downloaded by clicking on the links below.  To request a paper without a PDF version, please email bmuthen@ucla.edu and refer to the paper number.

2) Muthén, B., Petersson, T., Stahlberg, G., & Olsson, U. (1977). Measuring religious attitudes using the semantic differential technique: An application of three-mode factor analysis. Journal for the Scientific Study of Religion, 16, 275-287. [Available as PDF]

6) Muthén, B., & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46, 407-419. [Available as PDF]

11) Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49, 115-132. [Available as PDF]

12) Muthén, B., & Kaplan D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38, 171-189. [Available as PDF]

13) Muthén, B. (1985). A method for studying the homogeneity of test items with respect to other relevant variables. Journal of Educational Statistics, 10, 121-132. [Available as PDF]

14) Muthén, B., & Speckart, G. (1985). Latent variable probit ANCOVA: Treatment effects in the California Civil Addict Program. British Journal of Mathematical and Statistical Psychology, 38, 161-170.

15) Muthén, B., & Lehman. J. (1985). Multiple-group IRT modeling: Applications to item bias analysis. Journal of Educational Statistics, 10, 133-142. [Available as PDF]

16) Muthén, B., Kaplan, D., & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 42, 431-462. [Available as PDF]

17) Muthén, B. (1987). Response to Freedman's critique of path analysis: Improve credibility by better methodological training. Journal of Educational Statistics, 12, 178-184. [Available as PDF]

18) Muthén, B. (1988). Some uses of structural equation modeling in validity studies: Extending IRT to external variables. In H. Wainer, & H. Braun (Eds.), Test Validity (pp. 213-238). Hillsdale, NJ: Erlbaum Associates. [Available as PDF]

19) Muthén, B., & Hofacker, C. (1988). Testing the assumptions underlying tetrachoric correlations. Psychometrika, 53, 563-578. [Available as PDF]

21) Muthén, B. (1989). Dichotomous factor analysis of symptom data. In Eaton, & Bohrnstedt (Eds.), Latent Variable Models for Dichotomous Outcomes: Analysis of Data from the Epidemiological Catchment Area Program (pp. 19-65), a special issue of Sociological Methods & Research, 18, 19-65. [Available as PDF]

23) Muthén, B. (1989). Factor structure in groups selected on observed scores. British Journal of Mathematical and Statistical Psychology, 42, 81-90. [Available as PDF]

24) Muthén, B. (1989). Latent variable modeling in heterogeneous populations. Presidential address to the Psychometric Society, July, 1989. Psychometrika, 54, 557-585. [Available as PDF]

26) Muthén, B. (1989). Multiple-group structural modeling with non-normal continuous variables. British Journal of Mathematical and Statistical Psychology, 42, 55-62. [Available as PDF]

27) Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105(3), 456-466.

29) Muthén, B. (1989). Tobit factor analysis. British Journal of Mathematical and Statistical Psychology, 42, 241-250.

30) Muthén, B. (1989). Using item-specific instructional information in achievement modeling. Psychometrika, 54, 385-396. [Available as PDF]

34) Gold, K., & Muthén, B. (1991) Extensions of covariance structure analysis: Hierarchical modeling of multidimensional achievement data. Presented at the annual meeting of the American Educational Research Association, Chicago, 1991. [Available as PDF]

35) Muthén, B., Kao, Chih-Fen, & Burstein, L. (1991). Instructional sensitivity in mathematics achievement test items: Applications of a new IRT-based detection technique. Journal of Educational Measurement, 28, 1-22. [Available as PDF]

39) Muthén, B. (1992). A comment on Shrout-Parides: Conventional factor analysis as an approximation to latent trait models for dichotomous data. International Journal of Methods in Psychiatric Research, 2, 67-69. [Available as PDF]

40) Muthén, B., & Kaplan, D. (1992). A comparison of some methodologies for the factor analysis of non-normal Likert variables: A note on the size of the model. British Journal of Mathematical and Statistical Psychology, 45, 19-30. [Available as PDF]

41) Longford, N. T., & Muthén, B. (1992). Factor analysis for clustered observations. Psychometrika, 57, 581-597. [Available as PDF]

42) Waller, N. G., & Muthén, B. (1992). Genetic tobit factor analysis: quantitative genetic modeling with censored data. Behavior Genetics, 22, 265-292. [Available as PDF]

43) Muthén, B. (1992). Latent variable modeling in epidemiology. Alcohol Health & Research World, 16, 286-292. [Available as PDF]

44) Muthén, B., Hasin, D., & Wisnicki, K. S. (1993). Factor analysis of ICD-10 symptom items in the 1988 National Health Interview Survey on Alcohol Dependence. Addiction, 88, 1071-1077. [Available as PDF]

45) Muthén, B. (1993). Goodness of fit with categorical and other non-normal variables. In K. A. Bollen, & J. S. Long (Eds.), Testing Structural Equation Models (pp. 205-243). Newbury Park, CA: Sage. [Available as PDF]

46) Muthén, B., Tam, T., Muthén, L., Stolzenberg, R. M., & Hollis, M. (1993). Latent variable modeling in the LISCOMP framework: Measurement of attitudes toward career choice. In D. Krebs, & P. Schmidt (Eds.), New Directions in Attitude Measurement, Festschrift for Karl Schuessler (pp. 277-290). Berlin: Walter de Gruyter. [Available as PDF]

48) Muthén, B., & Yang Hsu, J. W. (1993). Selection and predictive validity with latent variable structures. British Journal of Mathematical and Statistical Psychology, 46, 255-271.

49) Muthén, B., Grant, B., & Hasin, D. (1993). Subgroup differences in factor structure for DSM-III-R and proposed DSM-IV criteria for alcohol abuse and dependence in the 1988 National Health Interview Survey. Accepted for publication in the Journal of Nervous and Mental Disease. [Available as PDF]

50) Benson, J., & Muthén, B. (1993). Testing factor structure invariance of the Test Anxiety Inventory using categorical variable methodology. [Available as PDF]

51) Muthén, B., Grant, B., & Hasin (1993). The dimensionality of alcohol abuse and dependence: Factor analysis of DSM-III and proposed DSM-IV criteria in the 1988 National Health Interview Survey. Addiction, 88, 1079-1090. [Available as PDF]

52) Gallo, J. J., Anthony, J. C., & Muthén, B. (1994). Age differences in the symptoms of depression: A latent trait analysis. Journals of Gerontology: Psychological Sciences. [Available as PDF]

54) Muthén, B. (1994). Instructionally sensitive psychometrics: Applications to the Second International Mathematics Study. In I. Westbury, C. Ethington, L. Sosniak, & D. Baker (Eds.), In Search of More Effective Mathematics Education: Examining Data from the IEA Second International Mathematics Study (pp. 293-324). Norwood, NJ: Ablex. [Available as PDF]

57) Hasin, D., Muthén, B., & Grant, B. (1994). The dimensionality of DSM-IV alcohol abuse and dependence: Factor analyses in a clinical sample.

58) Hasin, D., Muthén, B., Wisnicki, K. S., & Grant, B. (1994). Validity of the bi-axial dependence concept: A test in the U.S. general population. Addiction, 89, 573-579.

59) Muthén, B., & Satorra, A. (1995). Complex sample data in structural equation modeling. In P.V. Marsden (Ed.), Sociological Methodology (pp. 267-316). Washington, DC: American Sociological Association. [Available as PDF]

60) Muthén, B. (1995). Factor analysis of alcohol abuse and dependence symptom items in the 1988 National Health Interview survey, Addiction, 90, 637-645. [Available as PDF]

61) Muthén, B., Huang, L. C., Jo, B., Khoo, S. T., Goff, G., Novak, J., & Shih, J. (1995). Opportunity-to-learn effects on achievement: analytical aspects. Educational Evaluation and Policy Analysis, 17(3), 371-403. [Available as PDF]

62) Muthén, B. & Satorra, A. (1995). Technical aspects of Muthén's LISCOMP approach to estimation of latent variable relations with a comprehensive measurement model. Psychometrika, 60, 489-503. [Available as PDF]

66) Muthén, B. (1996). Psychometric evaluation of diagnostic criteria: Application to a two-dimensional model of alcohol abuse and dependence. Drug and Alcohol Dependence, 41, 101-112. [Available as PDF]

75) Muthén, B., du Toit, S.H.C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Accepted for publication in Psychometrika. [Available as PDF]

76) Arminger, G. and Muthén, B. (1998). A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm. Psychometrika, 63, 271-300. [Available as PDF]

77a) Harford, T. & Muthén, B. (2001). The dimensionality of alcohol abuse and dependence: a multivariate analysis of DSM-IV symptom items in the National Longitudinal Survey of Youth. Journal of Studies on Alcohol, 62, 150-157. [Available as PDF]

80) Muthén, B. & Khoo, S.T. (1998). Longitudinal studies of achievement growth using latent variable modeling. Learning and Individual Differences, Special issue: latent growth curve analysis, 10, 73-101. [Available as PDF]

95) Muthén, B. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81-117. [Available as PDF]

96) Muthén, L.K. and Muthén, B.O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Preliminary version of a paper scheduled to appear in Structural Equation Modeling. [Available as PDF]

114) Lubke, G. & Muthén, B. (2007). Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling, 14(1), 26–47.[Available as PDF]