Stat Computing > Papers

Statistics Papers for Loan

Academic Technology Services has a collection of papers on Statistics and Statistical Computing available for UCLA researchers to borrow on a short term basis to help you with your research.  Some have web pages associated with them that have the data files and/or web pages showing how to perform the analyses.

• Loan Policies
  • When & Where. The papers listed below may be borrowed by visiting Statistical Consulting in Math Sciences 4919 during walk-in consulting hours.
  • How Long? You may borrow a paper for one week.  For example, a paper borrowed on Wednesday would be due the following Wednesday.
  • Renewals? Unlike our books, papers may not be renewed.
  • Policy on Late Returns! It is important to return your paper on time, and if you do not return your paper on time it will be counted as late.  If you have three late returns, you will no longer be permitted to borrow books or papers from us.

Factor Analysis/SEM with Categorical Indicators

• Muthén, B. (1981). Factor analysis of dichotomous variables: American attitudes toward abortion. In D. J. Jackson, & E. F. Borgatta (Eds.), Factor analysis and measurement in sociological research: A multi-dimensional perspective. London: Sage (Muthen5).
• Muthén, B. (1983). Latent variable structural equation modeling with categorical data. Journal of Econometrics, 22, 48-65. (Muthen9)

Growth Modeling

• Analysis of Reading Skills Development from Kindergaten through First Grade: An Application of Growth Mixture Modeling to Sequential Processes, in Multilevel Modeling: Methodological Advances, Issues, and Applications by Steven P. Reise and Naihua Duan (MuthenB1).
• Muthén, B. (1996). Growth modeling with binary responses. In A. V. Eye, & C. Clogg (Eds.), Categorical Variables in Developmental Research: Methods of Analysis (pp. 37-54). San Diego, CA: Academic Press. (Muthen64)
• Muthén, B. (1997). Latent variable modeling with longitudinal and multilevel data. In A. Raftery (ed.), Sociological Methodology 1997 (pp. 453-480). Boston: Blackwell Publishers. (Muthen73)
• Curran, P.J., & Muthén, B. (1999). The application of latent curve analysis to testing developmental theories in intervention research. American Journal of Community Psychology, 27, 567-595. (Curran78a)
• 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. (Muthen80)
• Muthén, B. (2000). Methodological issues in random coefficient growth modeling using a latent variable framework: Applications to the development of heavy drinking. Multivariate Applications in Substance use Research, J. Rose, L. Chassin, C. Presson & J. Sherman (eds.), Hillsdale, N.J.: Erlbaum, pp. 113-140. (Muthen81) 
• Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In Collins, L.M. & Sayer, A. (Eds.), New Methods for the Analysis of Change (pp. 291-322). Washington, D.C.: APA. (Muthen82) 
• Curran, P.J., Muthén, B., & Harford, T.C. (1998). The influence of changes in marital status on developmental trajectories of alcohol use in young adults. Journal of Studies on Alcohol, 59, 647-658. (Curran84)
• Muthén, B. & Muthén, L. (2000). Integrating person-centered and variable-centered analysis: growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882-891. (Muthen85)

Latent Variables

• Latent Variable Mixture Modeling by Muthén, B. New Developments and Techniques in Structural Equation Modeling Edited by George Marcoulides and Randall Schumacker (MuthenB2)
• Muthén, B. (1992). Latent variable modeling in epidemiology. Alcohol Health & Research World, 16, 286-292. (Muthen43)
• 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. (Gallo52)

Mixture Models

• Muthén, B., Brown, C.H., Masyn, K., Jo, B., Khoo, S.T., Yang, C.C., Wang, C.P., Kellam, S., Carlin, J., & Liao, J. (2002). General growth mixture modeling for randomized preventive interventions. Biostatistics, 3, 459-475. (Muthen87)
• Muthén, B. & Masyn, K. (2001). Discrete-time survival mixture analysis. Under review. (Muthen92)
• Muthén, B. & Brown, C. H. (2001). Non-ignorable missing data in a general latent variable modeling framework. (Muthen93)
• Lubke, G., Muthén, B. & Larsen, K. (2002). Empirical identifiability of factor mixture models. (Lubke94)
• Muthén, B. (2001). Two-part growth mixture modeling. (Muthen95)
• Muthén, B. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81-117. (Muthen96)
• Muthén, B., Jo, B. & Brown, C. H. (2002). Assessment of treatment effects using latent variable modeling: Comments on the New York school choice study. (Muthen99)

Multilevel Models

• Harnqvist, K., Gustafsson, J. E., Muthén, B., & Nelson, G. (1994). Hierarchical models of ability at class and individual levels. Intelligence, 18, 165-187. (Harnqvist53)

Other

• Muthén, B. (1997). Covariates of alcohol dependence and abuse: A multivariate analysis of a 1988 general population survey in the United States. Accepted for publication in Acta Psychiatrica Scandinavica. (Muthen69)
• 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. (Harford77a)
• Harford, T. & Muthén, B. (2001). Alcohol use among college students: The effects of prior problem behaviors and change of residence. Journal of Studies on Alcohol, 62, 306-312. (Harford91)
• Beauchaine, T. P. & Waters, E. (2003). Pseudotaxonicity in MAMBAC and MAXCOV analyses of rating-scale data:  turning coninua into classes by manipulation observer's expectations. Psychological Methods, 8(1), 3-15. (Beauchaine1)
• Shrout, P. E. & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological Methods, 7(4), 422-445. (Shrout1)
• Schuster, C. & Smith, D. A. (2002). Indexing systematic rater agreement with  latent-class model. Psychological Methods, 7(3), 384-395. (Schuster1)
• Schafer, J. L. & Graham, J. W. (2002). Missing data: our view of the state of the art. Psychological Methods, 7(2), 147-177. (Schafer1)
• MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83-104. (MacKinnon1)
• McDonald, R. P. & Ho, M. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82. (McDonald1)