Bengt O. Muthén

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Bengt O. Muthén is affiliated with the following schools: Boston University, Uppsala University, University of California, Los Angeles, University of North Carolina at Chapel Hill, Duke University

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Bengt O. Muthén

Psychology

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Psychology

Why Is Bengt O. Muthén Influential?

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According to Wikipedia, Bengt Olov Muthén is a psychometrician and Professor Emeritus at the Graduate School of Education & Information Studies, University of California, Los Angeles. He is a former president of the Psychometric Society.

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Bengt O. Muthén's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007) (7872)
Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. (1989) (3519)
Assessing Reliability and Stability in Panel Models (1977) (2756)
Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. (2000) (2476)
Exploratory Structural Equation Modeling (2009) (2131)
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus (2014) (2050)
A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators (1984) (1876)
A comparison of some methodologies for the factor analysis of non‐normal Likert variables (1985) (1681)
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power (2002) (1677)
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data (2004) (1555)
Complex Sample Data in Structural Equation Modeling (1995) (1450)
Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm (1999) (1367)
Multilevel Covariance Structure Analysis (1994) (1164)
Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes (1997) (1097)
Bayesian structural equation modeling: a more flexible representation of substantive theory. (2012) (1062)
Latent variable modeling in heterogeneous populations (1989) (1017)
BEYOND SEM: GENERAL LATENT VARIABLE MODELING (2002) (999)
Investigating population heterogeneity with factor mixture models. (2005) (968)
Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching (2009) (872)
On structural equation modeling with data that are not missing completely at random (1987) (816)
A new look at the big five factor structure through exploratory structural equation modeling. (2010) (783)
General Longitudinal Modeling of Individual Differences in Experimental Designs: A Latent Variable Framework for Analysis and Power Estimation (1997) (755)
Latent Variable Mixture Modeling (2001) (700)
Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003). (2003) (645)
The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. (2008) (622)
A comparison of some methodologies for the factor analysis of non‐normal Likert variables: A note on the size of the model (1992) (621)
Auxiliary Variables in Mixture Modeling: Using the BCH Method in Mplus to Estimate a Distal Outcome Model and an Arbitrary Secondary Model (2014) (525)
Contributions to factor analysis of dichotomous variables (1978) (505)
Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons (2004) (495)
Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling. (2001) (484)
Multiple-Group Factor Analysis Alignment (2014) (464)
Latent variable structural equation modeling with categorical data (1983) (455)
Weighted Least Squares Estimation with Missing Data (2010) (444)
General growth mixture modeling for randomized preventive interventions. (2001) (444)
Multilevel Factor Analysis of Class and Student Achievement Components (1991) (429)
Doubly-Latent Models of School Contextual Effects: Integrating Multilevel and Structural Equation Approaches to Control Measurement and Sampling Error (2009) (397)
The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a U.S. national sample. (2000) (376)
Age differences in the symptoms of depression: a latent trait analysis. (1994) (375)
Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters. (2007) (336)
Dynamic Structural Equation Models (2018) (326)
10. Latent Variable Modeling of Longitudinal and Multilevel Data (1997) (281)
Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances (2015) (278)
Auxiliary Variables in Mixture Modeling : 3-Step Approaches Using Mplus (2012) (277)
Should substance use disorders be considered as categorical or dimensional? (2006) (267)
Growth mixture modeling : Analysis with non-Gaussian random effects (2008) (258)
Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables (2015) (247)
Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects (2007) (247)
Discrete-Time Survival Mixture Analysis (2005) (243)
Simultaneous factor analysis of dichotomous variables in several groups (1981) (235)
A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm (1998) (234)
Testing for the Equivalence of Factor Covariance and Mean Structures : The Issue of Partial Measurement In variance (1989) (222)
LONGITUDINAL STUDIES OF ACHIEVEMENT GROWTH USING LATENT VARIABLE MODELING (1998) (220)
Applications of Causally Defined Direct and Indirect Effects in Mediation Analysis using SEM in Mplus (2011) (212)
The Application of Latent Curve Analysis to Testing Developmental Theories in Intervention Research (1999) (207)
Bayesian Analysis In Mplus : A Brief Introduction (2010) (206)
Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters (2007) (205)
Bayesian Analysis Using Mplus : Technical Implementation (2010) (204)
Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies With Individual and Contextual Predictors (2010) (202)
Technical aspects of Muthén's liscomp approach to estimation of latent variable relations with a comprehensive measurement model (1995) (196)
A Structural Probit Model with Latent Variables (1979) (193)
Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling (2008) (192)
Item response mixture modeling: application to tobacco dependence criteria. (2006) (190)
Beyond multilevel regression modeling: Multilevel analysis in a general latent variable framework. (2011) (187)
IRT studies of many groups: the alignment method (2014) (186)
Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial. (2011) (185)
Multilevel Mixture Models (2006) (180)
Latent VariabLe Hybrids Overview of Old and new Models (2006) (178)
Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance (2013) (176)
Dichotomous Factor Analysis of Symptom Data (1989) (175)
Multilevel Modeling of Complex Survey Data (2006) (171)
What to do When Scalar Invariance Fails: The Extended Alignment Method for Multi-Group Factor Analysis Comparison of Latent Means Across Many Groups (2017) (167)
Preventing disruptive behavior in elementary schoolchildren: impact of a universal classroom-based intervention. (2004) (167)
Methods for testing theory and evaluating impact in randomized field trials: intent-to-treat analyses for integrating the perspectives of person, place, and time. (2008) (162)
Mplus (Version 7.11) (2013) (155)
Developmental epidemiological courses leading to antisocial personality disorder and violent and criminal behavior: effects by young adulthood of a universal preventive intervention in first- and second-grade classrooms. (2008) (155)
Instructionally Sensitive Psychometrics: Application of a New IRT‐Based Detection Technique to Mathematics Achievement Test Items (1991) (149)
Models and Strategies for Factor Mixture Analysis: An Example Concerning the Structure Underlying Psychological Disorders (2013) (145)
Bayesian SEM : A more flexible representation of substantive theory (2010) (142)
Simple Second Order Chi-Square Correction (2010) (142)
Adaptive designs for randomized trials in public health. (2009) (141)
The dimensionality of alcohol abuse and dependence: factor analysis of DSM-III-R and proposed DSM-IV criteria in the 1988 National Health Interview Survey. (1993) (139)
Recent Methods for the Study of Measurement Invariance With Many Groups (2018) (133)
Factor analysis for clustered observations (1992) (131)
The potential of growth mixture modelling (2006) (128)
Early Identification of Reading Difficulties Using Heterogeneous Developmental Trajectories (2008) (127)
MULTILEVEL ASPECTS OF VARYING PARAMETERS IN STRUCTURAL MODELS (1989) (127)
Structural Equation Modeling : A Multidisciplinary Journal (2017) (118)
Multilevel regression mixture analysis (2009) (116)
Moments of the censored and truncated bivariate normal distribution (1990) (114)
The influence of changes in marital status on developmental trajectories of alcohol use in young adults. (1998) (112)
Trajectories of change in depression severity during treatment with antidepressants (2009) (112)
The dimensionality of alcohol abuse and dependence: a multivariate analysis of DSM-IV symptom items in the National Longitudinal Survey of Youth. (2001) (110)
Multivariate Statistical Modeling with Survey Data (2005) (108)
DSM-IV alcohol dependence and abuse: further evidence of validity in the general population. (2007) (106)
The impact of current residence and high school drinking on alcohol problems among college students. (2002) (105)
Multiple Group IRT Modeling: Applications to Item Bias Analysis (1985) (104)
Subtypes versus severity differences in attention-deficit/hyperactivity disorder in the Northern Finnish Birth Cohort. (2007) (103)
The relation between heavy alcohol use and bar patronage: a latent growth model. (1996) (101)
Structural Equation Models and Mixture Models With Continuous Nonnormal Skewed Distributions (2016) (99)
Effects of non‐steroidal anti‐inflammatory drug treatments on cognitive decline vary by phase of pre‐clinical Alzheimer disease: findings from the randomized controlled Alzheimer's Disease Anti‐inflammatory Prevention Trial (2011) (98)
Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling (2018) (95)
Bayesian Analysis Using Mplus (2010) (92)
Tobit factor analysis (1989) (91)
Alcohol-related aggression and drinking at off-campus parties and bars: a national study of current drinkers in college. (2003) (90)
Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models (2018) (90)
Some uses of structural equation modeling in validity studies: Extending IRT to external variables (1986) (89)
Latent Variable Modeling of Longitudinal and Multilevel Data. Project 2.4, Quantitative Models To Monitor the Status and Progress of Learning and Performance and Their Antecedents. (1994) (84)
Multiple-group structural modelling with non-normal continuous variables. (1989) (82)
The fixed versus random effects debate and how it relates to centering in multilevel modeling. (2020) (81)
A Method for Studying the Homogeneity of Test Items with Respect to Other Relevant Variables (1985) (79)
Estimating drug effects in the presence of placebo response: Causal inference using growth mixture modeling (2009) (79)
Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City. Comments. Authors' reply (2003) (79)
Cluster randomized trials with treatment noncompliance. (2008) (77)
Computationally Efficient Estimation of Multilevel High-Dimensional Latent Variable Models (2007) (77)
Growth mixture modeling with non‐normal distributions (2015) (76)
Testing the assumptions underlying tetrachoric correlations (1988) (73)
Methods for Synthesizing Findings on Moderation Effects Across Multiple Randomized Trials (2011) (72)
Residual Associations in Latent Class and Latent Transition Analysis (2015) (71)
Analysis of reading skills development from kindergarten through first grade: An application of growth mixture modeling to sequential processes (2002) (70)
Analysis of Longitudinal Data Using Latent Variable Models with Varying Parameters (2011) (70)
Mplus Short Courses Topic 1 Exploratory Factor Analysis, Confirmatory Factor Analysis, And Structural Equation Modeling For Continuous Outcomes (2009) (68)
Advances in behavioral genetics modeling using Mplus: applications of factor mixture modeling to twin data. (2006) (67)
Mean and Covariance Structure Analysis of Hierarchical Data (2011) (66)
Psychometric evaluation of diagnostic criteria: application to a two-dimensional model of alcohol abuse and dependence. (1996) (65)
GENERAL LATENT VARIABLE MODELING (2002) (64)
Developmental trajectories of criteria of nicotine dependence in adolescence. (2008) (63)
Antidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorder. (2010) (63)
Growth Modeling With Latent Variables Using Mplus: Advanced Growth Models, Survival Analysis, And Missing Data (2010) (62)
Modeling Interactions Between Latent and Observed Continuous Variables Using Maximum-Likelihood Estimation In Mplus (2003) (62)
Selectivity Problems in Quasi-Experimental Studies (1983) (61)
Modeling of Intervention Effects With Noncompliance: A Latent Variable Approach for Randomized Trials (2001) (61)
When the course of aggressive behavior in childhood does not predict antisocial outcomes in adolescence and young adulthood: An examination of potential explanatory variables (2004) (61)
Growth Modeling with Binary Responses (1996) (61)
Stability and Instability of Peer Victimization during Middle School: Using Latent Transition Analysis with Covariates, Distal Outcomes, and Modeling Extensions (2006) (59)
Latent variable interactions (2015) (59)
Fluoxetine for the treatment of childhood anxiety disorders: open-label, long-term extension to a controlled trial. (2005) (58)
Dynamic Latent Class Analysis (2017) (57)
Factor Structure in Groups Selected on Observed Scores (1989) (54)
Opportunity-to-Learn Effects on Achievement: Analytical Aspects (1995) (54)
Intention‐to‐treat analysis in cluster randomized trials with noncompliance (2008) (53)
New Methods for the Study of Measurement Invariance with Many Groups (2013) (53)
A genome-wide association study of a sustained pattern of antidepressant response. (2013) (51)
Latent Variable Growth Modeling with Multilevel Data (1997) (50)
Factor analysis of alcohol abuse and dependence symptom items in the 1988 National Health Interview Survey. (1995) (49)
Longitudinal modeling of population heterogeneity: Methodological challenges to the analysis of empirically derived criminal trajectory profiles (2008) (49)
Constructing Covariates in Multilevel Regression (2007) (48)
Genome-Wide Association Study in Bipolar Patients Stratified by Co-Morbidity (2011) (48)
Continuous Time Survival in Latent Variable Models (2006) (48)
Longitudinal Genetic Analysis for Loneliness in Dutch Twins (2007) (47)
Factor analysis of ICD-10 symptom items in the 1988 National Health Interview Survey on Alcohol Dependence. (1993) (47)
Advances in Bayesian Model Fit Evaluation for Structural Equation Models (2020) (47)
The different trajectories of antipsychotic response: antipsychotics versus placebo (2010) (44)
Using item-specific instructional information in achievement modeling (1989) (44)
Hierarchical Models of Ability at Individual and Class Levels. (1994) (42)
Bayesian estimation of single and multilevel models with latent variable interactions (2020) (41)
Comparison of Models for the Analysis of Intensive Longitudinal Data (2020) (40)
Comparison of Estimation Methods for Complex Survey Data Analysis (2006) (40)
Resampling Methods in Mplus for Complex Survey Data (2010) (40)
Measurement Invariance in Cross-National Studies (2018) (38)
Alcohol use among college students: the effects of prior problem behaviors and change of residence. (2001) (37)
Longitudinal data on families: Growth modeling alternatives (2000) (35)
SRMR in Mplus (2018) (35)
Multiple Group Multilevel Analysis (2012) (35)
Factor-analyzing Likert-scale data under the assumption of multivariate normality complicates a meaningful comparison of observed groups or latent classes (2002) (34)
Multilevel Modeling With Latent Variables Using Mplus (2008) (33)
Latent variable modeling of growth with missing data and multilevel data (1993) (32)
Adolescent and young adult antisocial behavior and adult alcohol use disorders: a fourteen-year prospective follow-up in a national survey. (2000) (32)
Two-Part Factor Mixture Modeling: Application to an Aggressive Behavior Measurement Instrument (2009) (29)
Response to Freedman’s Critique of Path Analysis: Improve Credibility by Better Methodological Training (1987) (28)
A multilevel linear mixed model of the association between candidate genes and weight and body mass index using the Framingham longitudinal family data (2009) (27)
Hierarchical modeling of sequential behavioral data: an empirical Bayesian approach. (2002) (26)
Auxiliary Variables Predicting Missing Data (2008) (25)
Mplus Short Courses Topic 2 Regression Analysis, Exploratory Factor Analysis, Confirmatory Factor Analysis, And Structural Equation Modeling For Categorical, Censored, And Count Outcomes (2009) (25)
Growth Modeling With Latent Variables Using Mplus: Introductory And Intermediate Growth Models (2010) (25)
Multilevel latent variable modeling in multiple populations (1997) (24)
Instructionally Sensitive Psychometrics: Applications to the Second International Mathematics Study. Rough Draft. (1988) (23)
Selection and predictive validity with latent variable structures (1993) (21)
ON STROMEYER ET AL . 1 Bayesian Structural Equation Modeling with Cross-Loadings and Residual Covariances : Comments on (2015) (20)
IRT in Mplus (2016) (19)
Hierarchical modeling of sequential behavioral data: An empirical bayesian approach (2002) (19)
Genetic tobit factor analysis: Quantitative genetic modeling with censored data (1992) (19)
Testing For Informative Weights And Weights Trimming In Multivariate Modeling With Survey Data (2007) (16)
Prior-Posterior Predictive P-values (2017) (16)
Categorizing Skewed, Limited Dependent Variables (1983) (15)
Rejoinder to MacCallum, Edwards, and Cai (2012) and Rindskopf (2012): Mastering a New Method. (2012) (15)
Multidimensional Description of Subgroup Differences in Mathematics Achievement Data from the 1992 National Assessment of Educational Progress. Draft. (1994) (14)
Applications Of Continuous-Time Survival In Latent Variable Models For The Analysis Of Oncology Randomized Clinical Trial Data Using Mplus (2009) (13)
Advances in Behavioral Genetics Modeling Using Mplus: Applications of Factor Mixture Modeling to Twin Data (2006) (13)
Running Head : MODELS AND STRATEGIES FOR FMA 1 Models and strategies for factor mixture analysis : Two examples concerning the structure underlying psychological disorders (2009) (12)
Multilevel Modeling With Latent g Variables Using Mplus: Cross-Sectional Analysis (2009) (12)
Beyond Multilevel Regression Modeling (2010) (12)
Latent variable probit ANCOVA: treatment effects in the California Civil Addict Programme. (1985) (11)
Growth mixture modelling in families of the Framingham Heart Study (2009) (11)
Non-random dropout and the relative efficacy of escitalopram and nortriptyline in treating major depressive disorder. (2012) (11)
Nesting and Equivalence Testing for Structural Equation Models (2018) (11)
Compliance Mixture Modelling with a Zero‐Effect Complier Class and Missing Data (2012) (11)
Categorical Latent Variable Modeling Using Mplus: Cross-Sectional Data (2009) (10)
Latent transition analysis with random intercepts (RI-LTA). (2020) (9)
Multi-Stage Analysis of Sequential Developmental Processes To Study Reading Progress: New Methodological Developments Using General Growth Mixture Modeling. CSE Technical Report 489. (1998) (8)
Pearson and Log-likelihood Chi-square Test of Fit for Latent Class Analysis Estimated with Complex Samples (2008) (8)
EQS: Structural Equations Program, Version 3.0@@@EQS-EM: Structural Equations Program, Version 3.0@@@EzPATH: A Supplementary Module for SYSTAT and SYGRAPH, Version 1.01@@@LISCOMP: Analysis of Linear Structural Equations with a Comprehensive Measurement Model, Version 1.1@@@LISREL 7, Version 7.16 (1990) (7)
Measuring religious attitudes using the semantic differential technique (1977) (7)
Latent Variable Modeling in Heterogeneous Populations - eScholarship (2011) (7)
TRAJECTORIES OF ANTIPSYCHOTIC RESPONSE: MOVING BEYOND THE RESPONDER/NON-RESPONDER DICHOTOMY (2009) (7)
Expanding the Bayesian structural equation, multilevel and mixture models to logit, negative-binomial, and nominal variables (2021) (7)
Modeling of Heteroscedastic Measurement Errors (2002) (7)
Multidimensional, Multilevel, and Multi-Timepoint Item Response Modeling (2016) (6)
Modeling Heterogeneity of Latent Growth Depending on Initial Status (2006) (6)
Residual Structural Equation Models (2022) (6)
Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. (2022) (6)
Growth Modeling With Latent Variables Using Mplus: Advanced Growth Models, Missing Data, And Survival Analysis (2008) (5)
Multilevel Modeling With Latent g Variables Using Mplus: Longitudinal Analysis (2009) (5)
Saddle Points (2012) (5)
Finite Mixture Multivariate Generalized Linear Models Using Gibbs Sampling and EM Algorithms (1988) (3)
Analysis Of Preventive Intervention Data Using Mixture Modeling In Mplus (2007) (3)
Using Mplus individual residual plots for diagnostics and model evaluation in SEM (2014) (3)
Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021) (2022) (3)
Categorical Latent Variable Modeling Using Mplus: Longitudinal Data (2009) (3)
Mplus Short Courses Topic 2 Regression Analysis, Exploratory Factor Analysis, Regression Analysis, Exploratory Factor Analysis, Confirmatory Factor Analysis, And Structural Equation Modeling For Categorical, Censored, And Count Outcomes (2011) (3)
Teaching Students of Educational Psychology New Sophisticated Statistical Techniques (2017) (2)
Measurement Invariance Analysis (2013) (2)
Additional Information: Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance (2017) (2)
Factor Analysis for Clustered Observations - eScholarship (2011) (1)
Robust Chi-Square in Extreme and Boundary Conditions: Comments on Jak et al. (2021) (2021) (1)
Bengt O. Muthen - General Latent Variable Modeling Using Mplus Version 3 (2004) (1)
Latent growth modeling of developmentally evolving constructs: Modeling sequential processes (1998) (1)
Correction to: Beyond SEM: General Latent Variable Modeling (2021) (1)
General and Specific Factors in Selection Modeling (2017) (1)
TEACHER ' S CORNER Nesting and Equivalence Testing for Structural Equation Models Tihomir Asparouhov and Bengt Muthén (2018) (1)
Latent Variable Models for Analysis of Growth (2000) (1)
Multiple Group Alignment for Exploratory and Structural Equation Models (2022) (1)
LADI-A, Latent Analysis of Dichotomous Indicators : User's Guide (1980) (1)
Special Issue: Measurement invariance (2018) (0)
Testing the Assumptions Underlying Tetrachoric Correlations - eScholarship (1988) (0)
Latent Variable Models for Analysis of Growth. Report on Multilevel and Longitudinal Psychometric Models. (1992) (0)
Sensitivity Analysis for Pearson-Lawley Corrections in the Context of Nonignorable Missingness, (1994) (0)
Standardized coefficients in DSEM/RDSEM (2020) (0)
Applying Logistic Regression to Choice-Based and Supplementary Samples for the Prediction of MBA Matriculation and Persistence (2011) (0)
SKILLS DEVELOPMENT FROM KINDERGARTEN THROUGH FIRST GRADE : AN APPLICATION OF GROWTH MIXTURE MODELING TO SEQUENTIAL PROCESSES 1 (1998) (0)
Author ' s personal copy Antidepressant response trajectories and quantitative electroencephalography ( QEEG ) biomarkers in major depressive disorder (2010) (0)
Methods Paper: Using Item Specific Instructional Information in Achievement Molding. Research on Instructional Assessment Project: Instructionally Sensitive Psychometrics. (1987) (0)
Blind Separation and Deconvolution : Contributions to Aggregated Time Series Analysis and Signal Processing (1999) (0)
Practical Aspects of Dynamic Structural Equation Models (2021) (0)
P.3.002 Informative dropout and the relative efficacy of escitalopram and nortriptyline in treating major depressive disorder (2012) (0)
MODERN MODELING METHODS 2016 (2016) (0)
Advances in Multi-Level Psychometric Models: Latent Variable Modeling of Growth with Missing Data and Multilevel Data. Project 2.6: Analytic Models To Monitor Status and Progress of Learning and Performance and Their Antecedents. (1992) (0)
Genome-wide association study in subgroups of bipolar disorder patients defined by co-morbidity (2011) (0)
Advanced use of structural equation models: Applying LISCO MP to categorical and other nonnormal data: (569442011-005) (1989) (0)
Correction to: Beyond SEM: General Latent Variable Modeling (2021) (0)
S.05.03 The inherent trajectories in antipsychotic response: beyond simple responders and non-responders (2009) (0)
Psychometric Developments Related to Tests and Selection (1993) (0)
Consulting Editors (2010) (0)
SELECT, Regression Analysis in Selective Samples : User's Guide (1980) (0)
Investigating Interactions between intervention effects and individual and group characteristics (1996) (0)
Evaluating an intervention: A latent growth modeling approach (1996) (0)
11 Appendix A : Input file for conducting a simulation study with a distal outcome (2013) (0)
SMABS 2004 - Muthen Workshop - General Latent Variable Modeling Using Mplus Version 3 (2011) (0)
Selection and Prediction Using Latent Variable Models (1996) (0)
A Simple Approach to Inference in Covariance Structure Modeling with Missing Data: Bayesian Analysis. Project 2.4, Quantitative Models To Monitor the Status and Progress of Learning and Performance and Their Antecedents. (1994) (0)
Rejoinder : Mastering a new method (2012) (0)

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