CambridgeSoft   Schrodinger   CrystalMaker   EndNote   Systat 
  뉴스     소프트웨어     한글 홈 페이지     기술지원     회사     주문     질의/응답  

 Scientific Software InternationalHLM

HLM 홈 제품 정보 주문/가격 기술지원 HLM 5


HLM 5: References and Links


A selection of books and articles on various aspects of hierarchical linear modeling is given below. A list of HLM-related publications by the HLM authors follows, and finally some useful links to multilevel sources.

References-general:

Barnett, R. C., Brennan, R. T., Raudenbush, S. W., & Marshall, N. L. (1993). Gender and the relationship between marital role-quality and psychological distress: A study of dual-earner couples. Journal of Personality and Social Psychology, 64, 794-806.

Bock, R. (1975). Multivariate Statistical Methods in Behavioral Research. New York: McGraw-Hill.

Breslow, N., & Clayton, D. (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association, 88, 9-25.

Bryk, A., & Raudenbush, S. W. (1992). Hierarchical Linear Models for Social and Behavioral Research: Applications and Data Analysis Methods. Newbury Park, CA: Sage.

Cheong, Y. F., Fotiu, R., & Raudenbush, S. W. (in press). Analytic alternatives in the analysis of NAEP. Journal of Educational and Behavioral Statistics.

Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B(39), 1-8.

Elliot, D., Huizinga, D., & Menard, S. (1989). Multiple Problem Youth: Delinquency, Substance Use, and Mental Health Problems. New York: Springer-Verlag.

Goldstein, H. Multilevel Statistical Models. New York: Halstead, 1995.

Goldstein, H. (1991). Non-linear multilevel models with an application to discrete response data. Biometrika, 78, 45-51.

Hedeker, D., & Gibbons, R. (1994). A random-effects ordinal regression model for multilevel analysis. Biometrics, pp. 993-944.

Jennrich, R., & Schluchter, M. (1986). Unbalanced repeated-measures models with structured covariance matrices. Biometrics, 42, 805-820.

Kreft, I., & De Leeuw, J. (1998). Introducing multilevel modeling. Newbury Park, CA: Sage

Little, R., & Rubin, D. (1987). Statistical analysis with missing data. New York: Wiley.

Little, R. J., & Schenker, N. (1995). Missing data. In G. Arminger, C. C. Clogg & M. E. Sobel (Eds.), Handbook of Statistical Modeling for the Social and Behavioral Sciences (pp. 39-76). New York: Plenum Press.

Longford, N. (1993). Random Coefficient Models. Oxford: Clarendon Press.

McCullagh, P., & Nelder, J. (1989). Generalized Linear Models, 2nd Edition. London: Chapman and Hill.

Raudenbush, S., & Bhumirat, C. (1992). The distribution of resources for primary education and its consequences for educational achievement in Thailand. International Journal of Educational Research, pp. 143-164.

Raudenbush, S., Yang, M.-l., & Yosef, M. (under review). Maximum likelihood for hierarchical models via high-order, multivariate LaPlace approximation. Journal of Computational and Graphical Statistics.

Raudenbush, S. W. (1999). Hierarchical models. In S. Kotz (Ed.), Encyclopedia of Statistical Sciences, Update Volume 3 (pp. 318-323). New York: John Wiley & Sons, Inc.

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, Second Edition. Newbury Park, CA: Sage.

Raudenbush, S. W., & Sampson, R. (in press). Assessing direct and indirect associations in multilevel designs with latent variables [To appear in Sociological Methods and Research].

Rodriguez, G., & Goldman, N. (1995). An assessment of estimation procedures for multilevel models with binary responses. Journal of the royal Statistical Society, A, 158, 73-89.

Rogers, A., & et al. (1992). National Assessment of Educational Progress: 1990 Secondary-use Data Files User Guide. Princeton, New Jersey: Educational Testing Service.

Rowan, B., Raudenbush, S., & Cheong, Y. (1993). Teaching as a non-routine task: Implications for the organizational design of schools. Educational Administration Quarterly, 29(4), 479-500.

Rowan, R., Raudenbush, & Kang, S. (1991). Organizational design in high schools: A multilevel analysis. American Journal of Education, 99(2), 238-266.

Rubin, D. (1987). Multiple Imputation for Nonresponse in Surveys. New York: Wiley.

Schafer, J. (1997). Analysis of Incomplete Multivariate Data. London: Chapman & Hall.

Schall, R. (1991). Estimation in generalized linear models with random effects. Biometrika, 40, 719-727.

Stiratelli, R., Laird, N., & Ware, J. (1984). Random effects models for serial observations with binary response. Biometrics, 40, 961-971.

Wong, G., & Mason, W. (1985). The hierarchical logistic regression model for multilevel analysis. Journal of the American Statistical Association, 80(391), 513-524.

Yang, M. (1995). A simulation study for the assessment of the non-linear hierarchical model estimation via approximate maximum likelihood. Unpublished apprenticeship paper, College of Education, Michigan State University.

Yang, M.L. (1998). Increasing the efficiency in estimating multilevel Bernoulli models [Diss], East Lansing, MI: Michigan State University.

Zeger, S., Liang, K.Y., & Albert, P. (1988). Models for longitudinal data: A likelihood approach. Biometrics, 44, 1049-60.

Zeger, S., & Liang, L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13-22.

 

Published articles, chapters and books by the HLM authors

Raudenbush, S.W., Yang, Meng-Li, & Yosef, M. (In press). Maximum likelihood for generalized linear models with nested random effects via high-order, multivariate Laplace approximation. To appear in Journal of Computational and Graphical Statistics.

Miyazaki, Y. & Raudenbush, S.W. (In press). A test for linkage of multiple cohorts from an accelerated longitudinal design. To appear in Psychological Methods.

Raudenbush, S.W., Fotiu, R.P. & Cheong, Y.F. (In press). Synthesizing results from the trial state assessment. To appear in Journal of Educational and Behavioral Statistics.

Raudenbush, S.W. (In press). Hierarchical linear modeling for repeated measures data. To appear in Hershberger, Scott, and Moskowitz, Debbie (Eds.), Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications. Lawrence Erlbaum Associates.

Raudenbush, S.W. (In press). Toward a coherent framework for comparing trajectories of individual change. To appear in Collins, L. and Sayer, A. (Eds.), Best Methods for Studying Change. Washington D.C.: The American Psychological Association.

Raudenbush, S.W. (In press). Social and ethnic inequality of access to educational resources. To appear in Ross, Michael (Ed.), Analytic Issues in the Assessment of Student Achievement, NCES.

Sampson, R.J. & Raudenbush, S.W. (In press). Systematic social observation of public spaces: A new look at disorder in urban neighborhoods. To appear in the American Journal of Sociology.

Raudenbush, S.W. & Liu, Xiaofeng. (Conditionally accepted). Statistical power and optimal design for multisite randomized trials. Submitted to Psychological Methods.

Raudenbush, S.W., & Sampson, R. (1999). Assessing direct and indirect associations in multilevel designs with latent variables. Sociological Methods & Research, 28(2),123-153.

Raudenbush, S.W., & Sampson, R. (1999). Ecometrics: Toward a science of assessing ecological settings, with application to the systematic social observations of neighborhoods. Sociological Methodology, (29), 1-41.

Raudenbush, S.W. (1999). Hierarchical models. In S. Kotz, (Ed.), Encyclopedia of Statistical Sciences, Update Volume 3, (pp. 318-323). New York: John Wiley.

Bryk, A.S., Thum, Y.M., Easton, J.Q. & Luppescu, S. (1998). Academic Productivity of Chicago Public Elementary Schools. Consortium on Chicago School Research.

Bryk, A.S., Thum, Y.M., Easton, J.Q. & Luppescu, S. (1998). Assessing School Productivity: The Case of Chicago School Reform. Journal of Social Psychology of Education.

Raudenbush, S.W., Fotiu, R.P., & Cheong, Y.F. (1998). Inequality of access to educational resources: A national report card for eighth grade math. Educational Evaluation and Policy Analysis, 20(4), 253-268.

Duncan, G.J., & Raudenbush, S.W. (1998). Assessing the effects of context in studies of child and youth development. Educational Psychologist, 34(1), 29-41.

Raudenbush, S.W. (1998, May). [Review of the book A solution to the ecological inference problem: Reconstructing individual behavior from aggregate data} by Gary King.] American Journal of Sociology, 103(6), 1770-1772.

Kasim, R. & Raudenbush, S. (1998). Application of Gibbs sampling to nested variance components models with heterogenous with-in group variance. Journal of Educational and Behavioral Statistics, 23(2), 93-116.

Raudenbush, S.W., & Kasim, R. (1998). Cognitive skill and economic inequality: Findings from the National Adult Literacy Survey. Harvard Educational Review, 68(1), 33-79.

Sampson, R.J., Raudenbush, S.W., & Earls, F. (1998, March). Neighborhood cohesion - does it help reduce violence? National Institute of Justice Research Preview, Washington, DC. Abstracted with permission from Sampson, R.J., Raudenbush, S.W. & Earls, F. 'Neighborhoods & violent crime - A multilevel study of collective efficacy', Science, 277, (1-7).

Selner-O'Hagan, M.B., Kindlon, D.J., Buka, S.L., Raudenbush, S.W., & Earls, F.J. (1998). Assessing Exposure to Violence in Urban Youth. Journal of Child Psychology and Psychiatry and Allied Disciplines, 39(2), 215-224.

Sampson, R.J., Raudenbush, S.W., & Earls, F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, 277, 918-924.

Raudenbush, S.W. (1997). Statistical analysis and optimal design for cluster randomized trials. Psychological Methods, 2(2), 173-185.

Kindlon, D.J., Wright, B.D., Raudenbush, S.W. & Earls, F. (1996). The measurement of children's exposure to violence: A Rasch analysis. International Journal of Methods in Psychiatric Research, 6, 197-194.

Raudenbush, S.W., Cheong, Y.F., & Fotiu, R.P. (1996). Social inequality, social segregation, and their relationship to reading literacy in 22 countries. The IEA Reading Literacy Study: The United States in International Perspective, Section A, (pp 5-62), National Center for Educational Statistics.

Kalaian, H.A. & Raudenbush, S.W. (1996). A multivariate mixed linear model for meta-analysis. Psychological Methods, 1(3), 227-235.

Barnett, R.C., Raudenbush, S.W., Brennan, R.T., Pleck, J.H., and Marshall, N.L. (1995). Change in marital experiences and change in psychological distress: A longitudinal study of dual-earner couples. Journal of Personality and Social Psychology, 69(5), 839-850.

Raudenbush, S.W., & Willms, J.D. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20(4), 307-335.

Raudenbush, S.W., Brennan, R.T., & Barnett, R.C. (1995). A multivariate hierarchical model for studying psychological change within married couples. Journal of Family Psychology, 9(2), 161-174.

Raudenbush, S.W. (1995). Re-examining, reaffirming, and improving application of hierarchical models. Journal of Educational and Behavioral Statistics, 20(2), 210-220.

Raudenbush, S.W. (1995). Maximum likelihood estimation for unbalanced multilevel covariance structure models via the EM algorithm. British Journal of Mathematical and Statistical Psychology, 20, 2, 210-220.

Raudenbush, S.W. (1995). Hierarchical linear models: The case of school effects on literacy. In M. Binkley, K. Rust, and M. Winglee (Eds.) Methodological Issues in Comparative International Studies: The Case of Reading Literacy, Chapter 8, (pp. 231-241), Washington: National Center for Educational Statistics.

Raudenbush, S.W., Cheong, Y.F., & Fotiu, R. (1995). Synthesizing cross-national classroom effects data: Alternative models and methods. In M. Binkley, K. Rust, and M. Winglee (Eds.) Methodological Issues in Comparative International Studies: The Case of Reading Literacy, Chapter 9, (pp 243-275), Washington: National Center for Educational Statistics.

Raudenbush, S.W. (1995). Statistical models for studying the effects of social context on individual development. In Gottman, J. (ed.) The Analysis of Change, Hillsdale, NJ: Lawrence Erlbaum, 165-201.

Barnett, R.C., Brennan, R.T., Raudenbush, S.W., & Marshall, N.L. (1994). Gender and the relationship between marital role quality and psychological distress: A study of men and women in dual-earner couples. Psychology of Women Quarterly, 18, 105-127.

Murray, D.M., McKinlay, S.M., Martin, D., Donner, A.P., Dwyer, J.H., Raudenbush, S.W., Graubard, B.I. (1994). Design and analysis issues in community trials. Evaluation Review, 18, 4, 493-514.

Raudenbush, S.W., & Bryk, A.S. (1994). Hierarchical linear models. International Encyclopedia of Education: Research and Studies (Second Edition), pp. 259-2596. Oxford, England: Pergamon Press.

Willms, J. D., & Raudenbush, S. W. (1994). School effectiveness research: Methodological issues. In Boyd, W. L. (Ed.) International Encyclopedia of Educational Research, pp. 1934-1939. Oxford, England: Pergamon Press.

Raudenbush, S.W. (1994). Analyzing effect sizes: Random effects models. In Cooper, H., & Hedges, L. V. (Eds.). The Handbook of Research Synthesis. New York: Russell Sage Foundation. Chapter 20, 302-321.

Raudenbush, S.W. (1994). Searching for balance between a priori and post hoc model specification: Is a 'general approach' desirable? School Effectiveness and School Improvement, 5, 2, 196-198.

Barnett, R.C., Marshall, N.L., Raudenbush, S.W., & Brennan, R. (1993). Gender and the relationship between job experiences and psychological distress: A study of dual-earner couples. Journal of Personality and Social Psychology, 64, 5, 794-806.

Fuller, B., Raudenbush, S.W., & Wei, L. (1993). Can government raise child-care quality: The influence of family demand, poverty, and policy. Educational Evaluation and Policy Analysis, 15, 3, 255-278.

Raudenbush, S.W. (1993). A crossed random effects model for unbalanced data with applications in cross-sectional and longitudinal research. Journal of Educational Statistics, 18, 4, 321-349.

Raudenbush, S.W. (1993). Hierarchical linear models as generalizations of certain common experimental design models. In Edwards, L. (Ed.). Applied Analysis of Variance in Behavioral Science. New York: Marcell Decker. Chapter 13, 459-496.

Raudenbush, S.W. (1993). Modeling individual and community effects on deviance over time: Multi-level statistical models. In Farrington, D.P., Sampson, R.J., and Wikstrom, P-O.H. (eds.). Integrating Individual and Ecological Aspects of Crime. Stockholm: National Crime Council of Sweden.

Raudenbush, S.W. & Chan, W.S. (1993). Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design. Journal of Clinical and Consulting Psychology, 61, 6, 941-951.

Raudenbush, S.W., Eamsukkawat, S., Di-ibor, I., Kamali, M., & Taoklam, W. (1993). On-the job improvement in teacher competence: Policy options and their effects on teaching and learning in Thailand. Educational Evaluation and Policy Analysis, 15, 3, 279-297.

Raudenbush, S.W., Rowan, B., & Cheong, Y.F. (1993). The pursuit of higher-order instructional goals in secondary schools: Class, teacher, and school influences. American Educational Research Journal, 30, 3, 523-553.

Rowan, B., Raudenbush, S.W., & Cheong, F.Y. (1993). Teaching as a non-routine task: Implications for the organizational design of schools. To appear in the Educational Administration Quarterly, 29, 4, 479-500.

Bryk, A.S., & Raudenbush, S.W. (1992). Hierarchical Linear Models in Social and Behavioral Research: Applications and Data Analysis Methods. Newbury Park, CA: Sage Publications.

Raudenbush, S.W., & Bhumirat. C. (1992). The distribution of resources for primary education and its consequences for educational achievement in Thailand. International Journal of Educational Research, 143-164.

Raudenbush, S.W., Bhumirat, C. & Kamali, M. (1992). Predictors and consequences of primary teachers' sense of efficacy and students' perceptions of achievement in Thailand. International Journal of Educational Research, 17, 2, 165-177.

Raudenbush, S.W. & Chan, W.S. (1992) Growth curve analysis in accelerated longitudinal designs with application to the National Youth Survey. Journal of Research on Crime and Delinquency, 29, 4, 387-411.

Raudenbush, S.W., Rowan, B., & Cheong, Y.F. (1992). Contextual effects on the self-perceived efficacy of high school teachers. Sociology of Education, 65, 150-167.

Wheeler, C.W., Raudenbush, S.W., Kunarak, P. & Pasigna, A. (1992). Policy initiatives to improve teacher productivity in Thailand: An essay on implementation, constraints, and opportunities for educational reform. International Journal of Educational Research, 17, 129-142.

Fletcher, J.M., Francis, D.J., Pequegnat, W., Raudenbush, S.W., Bornstein, M. H., Schmitt, F., Brouwers, P., Stover, E. (1991). Neurobehavioral outcomes in diseases of childhood: Individual change models for pediatric human immune viruses. American Psychologist, 46, 12.

Garner, C.L., & Raudenbush, S.W. (1991). Neighborhood effects on educational attainment: A multilevel analysis. Sociology of Education, 64, 4, 251-262.

Raudenbush, S.W. (1991). Review of Methods of Meta-Analysis: Correcting for Error and Bias in Research Findings (by J.E. Hunter and F.L. Schmidt). Journal of the American Statistical Association, 86, 413, 242-244.

Raudenbush, S.W. (1991). Summarizing evidence: Crusaders for simplicity. (Book review essay) Educational Researcher, 20, 7, 33-37.

Raudenbush, S.W. (1991). Hierarchical models for studying school effects and schooling: The next wave of innovation. In Creemers, B. P. M. & Reezigt, G.(Eds.) Evaluation of Educational Effectiveness, Chapter 5, Enschede, the Netherlands: Inter-University Consortium on Educational Evaluation and Educational Effectiveness.

Raudenbush, S.W., Kidchanapanish, S., & Kang, S.J. (1991). The effects of preprimary access and quality on educational achievement in Thailand. Comparative Education Review, 35, 2, 255-273.

Raudenbush, S.W., Rowan, B., & Kang, S.J. (l991). A multilevel, multivariate model for studying school climate in secondary schools with estimation via the EM algorithm. Journal of Educational Statistics, 16, 4, 295-330.

Raudenbush, S.W., & Willms, J.D. (l991). Pupils, Classrooms. and Schools: International Studies of Schooling from a Multilevel Perspective. New York: Academic Press.

Raudenbush, S.W., Willms, J.D. (1991). The organization of schooling and its methodological implications. In Raudenbush, S.W. & Willms, J.D., (Eds.) Schools, Classrooms and Pupils, Chapter 1, San Diego, CA: Academic Press, Inc.

Rowan, R., Raudenbush, S.W., & Kang, S.J. (1991). Organizational design in high schools: A multilevel analysis. American Journal of Education, 99, 2, 238-266.

Rowan, R., Raudenbush, S.W., & Kang, S.J. (1991). In Raudenbush, S.W., & Willms, J.D. (Eds.) School climate in secondary schools: A multilevel analysis. Pupils, Classrooms, and Schools: International Studies of Schooling from a Multilevel Perspective, New York: Academic Press.

Bryk, A.S., & Raudenbush, S.W. (1990). Educational applications of hierarchical linear models. International Encyclopedia of Education (First Addition).

Raudenbush, S.W. (1990). Dynamic models of school and teacher effects on individual earning. In P. van den Eeden, Hox, J., & Hauer, J. (Eds.). Theory and Model in Multilevel Research: Convergence or Divergence? Amsterdam: SISWO.

Raudenbush, S.W. (1990). Modeling individual and community effects on deviance over time: Multi-level statistical models. In Farrington, D.P., Sampson, R.J., & Wikstrom, P-O.H. Integrating Individual and Ecological Aspects of Crime. Stockholm: National Crime Council of Sweden.

Raudenbush, S.W. (1990). New evidence in the search for effective primary schools. American Journal of Education, 98, 2, 175-183.

Bryk, A.S. & Raudenbush, S.W. (1989). Methodology for cross-level organizational research. Research in Organizational Behavior, 7, 233-273.

Raudenbush, S.W. (1989). The analysis of longitudinal, multilevel data. International Journal of Educational Research, 13, 721-740.

Willms, J. D. & Raudenbush, S. W. (1989). A longitudinal hierarchical linear model for estimating school effects and their stability. Journal of Educational Measurement, 26, 3, 209-232.

Bryk, A.S., & Raudenbush, S.W (1988). Heterogeneity of variance in experimental studies: A challenge to conventional interpretations. Psychological Bulletin, 104, 3, 396-404.

Bryk, A.S., & Raudenbush, S.W. (1988). Toward a more appropriate conceptualization of research on school effects: A three-level hierarchical linear model. American Journal of Education, 97, 1, 65-108.

Raudenbush, S.W. (1988). Estimating change in dispersion. Journal of Educational Statistics, 13, 2, 148-171.

Raudenbush, S.W. (1988). Educational applications of hierarchical linear models: A review. Journal of Educational Statistics, 13, 2, 85-116.

Raudenbush, S.W., Becker, B.J., & Kalaian, S. (1988). Modeling multivariate effect sizes, Psychological Bulletin, 103, 1, 111-120.

Raudenbush, S. W. & Bryk, A.S. (1988). Methodological advances in studying effects of classrooms and schools on student learning. Review of Research in Education, 1988-1989 edition, 15, 423-476.

Bryk, A.S., & Raudenbush, S.W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 1, 147-158.

Bryk, A.S., & Raudenbush, S.W. (1987). Toward a more appropriate conceptualization of research on school effects: A three-level hierarchical linear model. In Bock, R.D. (editor) Multilevel Statistical Methods in Educational Research. New York: Academic Press.

Porter, A.C., & Raudenbush, S.W. (1987). Analysis of covariance: Its model and use in psychological research. Journal of Counseling Psychology, 34, 4, 383-392.

Raudenbush, S.W., & Bryk, A.S. (1987). Examining correlates of diversity. Journal of Educational Statistics, 12, 3, 241-209.

Raudenbush, S.W., & Bryk, A.S. (1987). Quantitative models for estimating teacher and school effectiveness. In Bock, R.D. (editor) Multilevel Statistical Models in Educational Research, 205-232. New York: Academic Press.

Raudenbush, S.W., & Bryk, A.S. (1986). A hierarchical model for studying school effects. Sociology of Education, 59, 1-17.

Raudenbush, S.W. (1985). Review of none of the above: The myths of scholastic aptitude, (by David Owen) in Curriculum Review, 25, 1, 32.

Raudenbush, S.W., & Bryk, A.S. (1985). Empirical Bayes meta-analysis. Journal of Educational Statistics, 10, 2, 75-98.

Raudenbush, S.W. (1984). Magnitude of teacher expectancy effects on Pupil IQ as a function of the credibility of expectancy induction: A synthesis of findings from 18 experiments. Journal of Educational Psychology, 76, 1, 85-97.

Raudenbush, S.W. (1984). Utilizing controversy as a source of hypotheses for meta-analysis: The case of teacher expectancy's effects on pupil IQ. In Light, R.J. (Ed.), Evaluation Studies Review Annual, 303-326.

Bryk, A.S., & Raudenbush, S.W. (1983). The potential contribution of program evaluation to social problem-solving. In Bryk, A.S. (Ed.), Stakeholder-based Evaluation. New Directions for Program Evaluation, 17. San Francisco: Jossey-Bass.

 

Useful links:

 홈 페이지 | 소프트웨어 | 한글 홈페이지 | 기술지원 | 회사 | 주문 | 질의/응답