| Year |
Citation |
Score |
| 2020 |
Muthén B, Asparouhov T. Latent transition analysis with random intercepts (RI-LTA). Psychological Methods. 27: 1-16. PMID 35238596 DOI: 10.1037/met0000370 |
0.358 |
|
| 2020 |
Asparouhov T, Muthén B. Advances in Bayesian model fit evaluation for structural equation models Structural Equation Modeling. 1-14. DOI: 10.1080/10705511.2020.1764360 |
0.403 |
|
| 2020 |
Asparouhov T, Muthén B. Bayesian estimation of single and multilevel models with latent variable interactions Structural Equation Modeling. 1-15. DOI: 10.1080/10705511.2020.1761808 |
0.434 |
|
| 2019 |
Hamaker EL, Muthén B. The fixed versus random effects debate and how it relates to centering in multilevel modeling. Psychological Methods. PMID 31613118 DOI: 10.1037/Met0000239 |
0.491 |
|
| 2019 |
Asparouhov T, Muthén B. Comparison of Models for the Analysis of Intensive Longitudinal Data Structural Equation Modeling: a Multidisciplinary Journal. 27: 275-297. DOI: 10.1080/10705511.2019.1626733 |
0.409 |
|
| 2018 |
Hamaker EL, Asparouhov T, Brose A, Schmiedek F, Muthén B. At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study. Multivariate Behavioral Research. 53: 820-841. PMID 29624092 DOI: 10.1080/00273171.2018.1446819 |
0.45 |
|
| 2018 |
Asparouhov T, Muthén B. Nesting and Equivalence Testing for Structural Equation Models Structural Equation Modeling: a Multidisciplinary Journal. 26: 302-309. DOI: 10.1080/10705511.2018.1513795 |
0.499 |
|
| 2018 |
Asparouhov T, Muthén B. Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models Structural Equation Modeling: a Multidisciplinary Journal. 26: 119-142. DOI: 10.1080/10705511.2018.1511375 |
0.415 |
|
| 2017 |
Marsh HW, Guo J, Parker PD, Nagengast B, Asparouhov T, Muthén B, Dicke T. What to do When Scalar Invariance Fails: The Extended Alignment Method for Multi-Group Factor Analysis Comparison of Latent Means Across Many Groups. Psychological Methods. PMID 28080078 DOI: 10.1037/Met0000113 |
0.464 |
|
| 2017 |
Muthén B, Asparouhov T. Recent Methods for the Study of Measurement Invariance With Many Groups Sociological Methods & Research. 47: 637-664. DOI: 10.1177/0049124117701488 |
0.332 |
|
| 2017 |
Asparouhov T, Hamaker EL, Muthén B. Dynamic Structural Equation Models Structural Equation Modeling: a Multidisciplinary Journal. 25: 359-388. DOI: 10.1080/10705511.2017.1406803 |
0.469 |
|
| 2017 |
Schultzberg M, Muthén B. Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling Structural Equation Modeling: a Multidisciplinary Journal. 25: 495-515. DOI: 10.1080/10705511.2017.1392862 |
0.404 |
|
| 2016 |
Asparouhov T, Hamaker EL, Muthén B. Dynamic Latent Class Analysis Structural Equation Modeling: a Multidisciplinary Journal. 24: 257-269. DOI: 10.1080/10705511.2016.1253479 |
0.51 |
|
| 2015 |
Muthén B, Asparouhov T. Growth mixture modeling with non-normal distributions. Statistics in Medicine. 34: 1041-58. PMID 25504555 DOI: 10.1002/Sim.6388 |
0.417 |
|
| 2015 |
Asparouhov T, Muthén B, Morin AJS. Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances: Comments on Stromeyer et al. Journal of Management. 41: 1561-1577. DOI: 10.1177/0149206315591075 |
0.409 |
|
| 2015 |
Asparouhov T, Muthén B. Structural Equation Models and Mixture Models With Continuous Nonnormal Skewed Distributions Structural Equation Modeling: a Multidisciplinary Journal. 23: 1-19. DOI: 10.1080/10705511.2014.947375 |
0.416 |
|
| 2014 |
Muthén B, Asparouhov T. IRT studies of many groups: the alignment method. Frontiers in Psychology. 5: 978. PMID 25309470 DOI: 10.3389/Fpsyg.2014.00978 |
0.359 |
|
| 2014 |
Asparouhov T, Muthén B. Residual Associations in Latent Class and Latent Transition Analysis Structural Equation Modeling: a Multidisciplinary Journal. 22: 169-177. DOI: 10.1080/10705511.2014.935844 |
0.479 |
|
| 2014 |
Muthén B, Asparouhov T. Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables Structural Equation Modeling: a Multidisciplinary Journal. 22: 12-23. DOI: 10.1080/10705511.2014.935843 |
0.454 |
|
| 2014 |
Asparouhov T, Muthén B. Multiple-Group Factor Analysis Alignment Structural Equation Modeling: a Multidisciplinary Journal. 21: 495-508. DOI: 10.1080/10705511.2014.919210 |
0.407 |
|
| 2014 |
Asparouhov T, Muthén B. Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus Structural Equation Modeling: a Multidisciplinary Journal. 21: 329-341. DOI: 10.1080/10705511.2014.915181 |
0.46 |
|
| 2013 |
Clark SL, Muthén B, Kaprio J, D'Onofrio BM, Viken R, Rose RJ. Models and Strategies for Factor Mixture Analysis: An Example Concerning the Structure Underlying Psychological Disorders. Structural Equation Modeling : a Multidisciplinary Journal. 20. PMID 24302849 DOI: 10.1080/10705511.2013.824786 |
0.642 |
|
| 2013 |
van de Schoot R, Kluytmans A, Tummers L, Lugtig P, Hox J, Muthén B. Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology. 4: 770. PMID 24167495 DOI: 10.3389/Fpsyg.2013.00770 |
0.447 |
|
| 2012 |
Sobel ME, Muthén B. Compliance mixture modelling with a zero-effect complier class and missing data. Biometrics. 68: 1037-45. PMID 22985224 DOI: 10.1111/J.1541-0420.2012.01791.X |
0.388 |
|
| 2012 |
Muthén B, Asparouhov T. Bayesian structural equation modeling: a more flexible representation of substantive theory. Psychological Methods. 17: 313-35. PMID 22962886 DOI: 10.1037/A0026802 |
0.508 |
|
| 2011 |
Muthén B, Asparouhov T, Hunter AM, Leuchter AF. Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial. Psychological Methods. 16: 17-33. PMID 21381817 DOI: 10.1037/A0022634 |
0.472 |
|
| 2010 |
Henry KL, Muthén B. Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies with Individual and Contextual Predictors. Structural Equation Modeling : a Multidisciplinary Journal. 17: 193-215. PMID 21057651 DOI: 10.1080/10705511003659342 |
0.395 |
|
| 2010 |
Marsh HW, Lüdtke O, Muthén B, Asparouhov T, Morin AJ, Trautwein U, Nagengast B. A new look at the big five factor structure through exploratory structural equation modeling. Psychological Assessment. 22: 471-91. PMID 20822261 DOI: 10.1037/A0019227 |
0.388 |
|
| 2009 |
Marsh HW, Lüdtke O, Robitzsch A, Trautwein U, Asparouhov T, Muthén B, Nagengast B. Doubly-Latent Models of School Contextual Effects: Integrating Multilevel and Structural Equation Approaches to Control Measurement and Sampling Error. Multivariate Behavioral Research. 44: 764-802. PMID 26801796 DOI: 10.1080/00273170903333665 |
0.372 |
|
| 2009 |
Kim Y, Muthén BO. Two-Part Factor Mixture Modeling: Application to an Aggressive Behavior Measurement Instrument. Structural Equation Modeling : a Multidisciplinary Journal. 16: 602-624. PMID 20717486 DOI: 10.1080/10705510903203516 |
0.4 |
|
| 2009 |
Muthén B, Brown HC. Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling. Statistics in Medicine. 28: 3363-85. PMID 19731223 DOI: 10.1002/Sim.3721 |
0.347 |
|
| 2009 |
Muthén B, Asparouhov T. Multilevel regression mixture analysis Journal of the Royal Statistical Society: Series a (Statistics in Society). 172: 639-657. DOI: 10.1111/J.1467-985X.2009.00589.X |
0.412 |
|
| 2009 |
Marsh HW, Muthén B, Asparouhov T, Lüdtke O, Robitzsch A, Morin AJS, Trautwein U. Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching Structural Equation Modeling: a Multidisciplinary Journal. 16: 439-476. DOI: 10.1080/10705510903008220 |
0.44 |
|
| 2009 |
Asparouhov T, Muthén B. Exploratory Structural Equation Modeling Structural Equation Modeling: a Multidisciplinary Journal. 16: 397-438. DOI: 10.1080/10705510903008204 |
0.411 |
|
| 2008 |
Lüdtke O, Marsh HW, Robitzsch A, Trautwein U, Asparouhov T, Muthén B. The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. Psychological Methods. 13: 203-29. PMID 18778152 DOI: 10.1037/A0012869 |
0.379 |
|
| 2007 |
Kreuter F, Muthén B. Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling Journal of Quantitative Criminology. 24: 1-31. DOI: 10.1007/S10940-007-9036-0 |
0.389 |
|
| 2006 |
Muthén B. Should substance use disorders be considered as categorical or dimensional? Addiction (Abingdon, England). 101: 6-16. PMID 16930156 DOI: 10.1111/J.1360-0443.2006.01583.X |
0.45 |
|
| 2006 |
Muthén B, Asparouhov T, Rebollo I. Advances in behavioral genetics modeling using Mplus: applications of factor mixture modeling to twin data. Twin Research and Human Genetics : the Official Journal of the International Society For Twin Studies. 9: 313-24. PMID 16790142 DOI: 10.1375/183242706777591317 |
0.467 |
|
| 2006 |
Muthen B, Asparouhov T. Item response mixture modeling: application to tobacco dependence criteria. Addictive Behaviors. 31: 1050-66. PMID 16675147 DOI: 10.1016/J.Addbeh.2006.03.026 |
0.489 |
|
| 2006 |
Muthén B. The potential of growth mixture modelling Infant and Child Development. 15: 623-625. DOI: 10.1002/Icd.482 |
0.506 |
|
| 2005 |
Lubke GH, Muthén B. Investigating population heterogeneity with factor mixture models. Psychological Methods. 10: 21-39. PMID 15810867 DOI: 10.1037/1082-989X.10.1.21 |
0.414 |
|
| 2005 |
Muthén B, Masyn K. Discrete-Time Survival Mixture Analysis Journal of Educational and Behavioral Statistics. 30: 27-58. DOI: 10.3102/10769986030001027 |
0.639 |
|
| 2003 |
Muthén B. Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003). Psychological Methods. 8: 369-77; discussion 3. PMID 14596497 DOI: 10.1037/1082-989X.8.3.369 |
0.459 |
|
| 2002 |
Muthén B, Brown CH, Masyn K, Jo B, Khoo ST, Yang CC, Wang CP, Kellam SG, Carlin JB, Liao J. General growth mixture modeling for randomized preventive interventions. Biostatistics (Oxford, England). 3: 459-75. PMID 12933592 DOI: 10.1093/Biostatistics/3.4.459 |
0.638 |
|
| 2002 |
Muthén BO. Beyond SEM: General Latent Variable Modeling Behaviormetrika. 29: 81-117. DOI: 10.2333/BHMK.29.81 |
0.345 |
|
| 2000 |
Muthen B, Muthen LK. Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes Alcoholism: Clinical and Experimental Research. 24: 882-891. DOI: 10.1111/J.1530-0277.2000.Tb02070.X |
0.493 |
|
| 1999 |
Muthén B, Shedden K. Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics. 55: 463-9. PMID 11318201 DOI: 10.1111/J.0006-341X.1999.00463.X |
0.469 |
|
| 1998 |
Muthen BO, Khoo S. Longitudinal studies of achievement growth using latent variable modeling Learning and Individual Differences. 10: 73-101. DOI: 10.1016/S1041-6080(99)80135-6 |
0.321 |
|
| 1997 |
Duncan TE, Duncan SC, Alpert A, Hops H, Stoolmiller M, Muthen B. Latent Variable Modeling of Longitudinal and Multilevel Substance Use Data. Multivariate Behavioral Research. 32: 275-318. PMID 26761612 DOI: 10.1207/S15327906Mbr3203_3 |
0.377 |
|
| 1997 |
Muthén B. 10. Latent Variable Modeling of Longitudinal and Multilevel Data Sociological Methodology. 27: 453-480. DOI: 10.1111/1467-9531.271034 |
0.484 |
|
| 1997 |
Muthén BO, Curran PJ. General Longitudinal Modeling of Individual Differences in Experimental Designs: A Latent Variable Framework for Analysis and Power Estimation Psychological Methods. 2: 371-402. DOI: 10.1037/1082-989X.2.4.371 |
0.56 |
|
| 1995 |
Muthen BO, Satorra A. Complex Sample Data in Structural Equation Modeling Sociological Methodology. 25: 267. DOI: 10.2307/271070 |
0.387 |
|
| 1995 |
Muthén BO, Satorra A. Technical aspects of Muthén's liscomp approach to estimation of latent variable relations with a comprehensive measurement model Psychometrika. 60: 489-503. DOI: 10.1007/BF02294325 |
0.301 |
|
| 1992 |
Muthen B, Kaplan D. 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. DOI: 10.1111/j.2044-8317.1992.tb00975.x |
0.323 |
|
| 1990 |
Muthén B. Moments of the censored and truncated bivariate normal distribution British Journal of Mathematical and Statistical Psychology. 43: 131-143. DOI: 10.1111/J.2044-8317.1990.Tb00930.X |
0.317 |
|
| 1989 |
Byrne BM, Shavelson RJ, Muthén B. Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin. 105: 456-466. DOI: 10.1037/0033-2909.105.3.456 |
0.411 |
|
| 1987 |
Muthén B, Kaplan D, Hollis M. On structural equation modeling with data that are not missing completely at random Psychometrika. 52: 431-462. DOI: 10.1007/Bf02294365 |
0.452 |
|
| 1986 |
Muthén B, Speckart G. Latent variable probit ANCOVA: treatment effects in the California Civil Addict Programme. The British Journal of Mathematical and Statistical Psychology. 161-70. PMID 4074657 DOI: 10.1111/J.2044-8317.1985.Tb00831.X |
0.425 |
|
| 1985 |
Muthén B, Lehman J. Multiple Group IRT Modeling: Applications to Item Bias Analysis Journal of Educational Statistics. 10: 133-142. DOI: 10.3102/10769986010002133 |
0.38 |
|
| 1985 |
Muthén B. A Method for Studying the Homogeneity of Test Items with Respect to Other Relevant Variables Journal of Educational Statistics. 10: 121-132. DOI: 10.3102/10769986010002121 |
0.404 |
|
| 1985 |
Muthén B, Kaplan D. A comparison of some methodologies for the factor analysis of non-normal Likert variables British Journal of Mathematical and Statistical Psychology. 38: 171-189. DOI: 10.1111/J.2044-8317.1985.Tb00832.X |
0.35 |
|
| 1984 |
Muthén B. A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators Psychometrika. 49: 115-132. DOI: 10.1007/Bf02294210 |
0.492 |
|
| 1983 |
Muthén B, Speckart G. Categorizing Skewed, Limited Dependent Variables Evaluation Review. 7: 257-269. DOI: 10.1177/0193841X8300700207 |
0.4 |
|
| 1983 |
Muthen B, Jöreskog KG. Selectivity problems in Quasi-Experimental studies Evaluation Review. 7: 139-174. DOI: 10.1177/0193841X8300700201 |
0.376 |
|
| 1983 |
Muthén B. Latent variable structural equation modeling with categorical data Journal of Econometrics. 22: 43-65. DOI: 10.1016/0304-4076(83)90093-3 |
0.472 |
|
| 1979 |
Muthén B. A Structural Probit Model with Latent Variables Journal of the American Statistical Association. 74: 807-811. DOI: 10.1080/01621459.1979.10481034 |
0.322 |
|
| 1977 |
Wheaton B, Muthen B, Alwin DF, Summers GF. Assessing Reliability and Stability in Panel Models Sociological Methodology. 8: 84. DOI: 10.2307/270754 |
0.322 |
|
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