The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies
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Sarah Depaoli | Jeroen K. Vermunt | Rens van de Schoot | Marit Sijbrandij | Sonja D. Winter | S. D. Winter | J. Vermunt | R. van de Schoot | M. Sijbrandij | S. Depaoli
[1] Frauke Kreuter,et al. Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling , 2008 .
[2] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[3] Jaap J. A. Denissen,et al. Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation , 2014 .
[4] J. Vermunt. K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011). , 2011, Psychological methods.
[5] C. Hertzog,et al. Assessing psychological change in adulthood: an overview of methodological issues. , 2003, Psychology and aging.
[6] S G West,et al. Putting the individual back into individual growth curves. , 2000, Psychological methods.
[7] Bengt Muthén,et al. Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus , 2014 .
[8] Jeroen K. Vermunt,et al. Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes , 2016 .
[9] P. Deb. Finite Mixture Models , 2008 .
[10] Jeroen K. Vermunt,et al. Latent Class Modeling with Covariates: Two Improved Three-Step Approaches , 2010, Political Analysis.
[11] Daniel J Bauer,et al. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. , 2003, Psychological methods.
[12] John Fox,et al. OpenMx: An Open Source Extended Structural Equation Modeling Framework , 2011, Psychometrika.
[13] W. DeSarbo,et al. An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data , 1993 .
[14] H. Delaney,et al. Ignoring individual differences in times of assessment in growth curve modeling , 2016 .
[15] Dori B. Reissman,et al. Trajectories of PTSD risk and resilience in World Trade Center responders: an 8-year prospective cohort study , 2013, Psychological Medicine.
[16] D. Rindskopf. Mixture or homogeneous? Comment on Bauer and Curran (2003). , 2003, Psychological methods.
[17] Arin M. Connell,et al. Response to commentaries on target paper, ‘Growth Mixture Modeling in Developmental Psychology’ , 2006 .
[18] Anthony S. Bryk,et al. Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .
[19] Marcel Croon,et al. Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators , 2004, Political Analysis.
[20] J. Wicherts,et al. Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results , 2011, PloS one.
[21] C. Anderson‐Cook,et al. Group-Based Modeling of Development , 2006 .
[22] Jos Twisk,et al. Classifying developmental trajectories over time should be done with great caution: a comparison between methods. , 2012, Journal of clinical epidemiology.
[23] Nilam Ram,et al. Nonlinear Growth Models in Mplus and SAS , 2009, Structural equation modeling : a multidisciplinary journal.
[24] Thorsten Gerber,et al. Applied Longitudinal Data Analysis Modeling Change And Event Occurrence , 2016 .
[25] Neal O. Jeffries. A note on 'Testing the number of components in a normal mixture' , 2003 .
[26] Katherine E. Masyn,et al. New approaches to studying problem behaviors: a comparison of methods for modeling longitudinal, categorical adolescent drinking data. , 2009, Developmental psychology.
[27] Arin M. Connell,et al. Growth Mixture Modelling in Developmental Psychology: Overview and Demonstration of Heterogeneity in Developmental Trajectories of Adolescent Antisocial Behaviour , 2006 .
[28] Sven L Klijn,et al. Introducing the fit-criteria assessment plot – A visualisation tool to assist class enumeration in group-based trajectory modelling , 2017, Statistical methods in medical research.
[29] A. Piquero. Taking Stock of Developmental Trajectories of Criminal Activity over the Life Course , 2008 .
[30] M. Goldman,et al. Variation in the drinking trajectories of freshmen college students. , 2005, Journal of consulting and clinical psychology.
[31] B. Muthén,et al. Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus , 2014 .
[32] Tony Jung,et al. An introduction to latent class growth analysis and growth mixture modeling. , 2008 .
[33] Sarah Depaoli,et al. Mixture class recovery in GMM under varying degrees of class separation: frequentist versus Bayesian estimation. , 2013, Psychological methods.
[34] M. Llabre,et al. Children’s Postdisaster Trajectories of PTS Symptoms: Predicting Chronic Distress , 2013, Child & youth care forum.
[35] Jeroen K. Vermunt,et al. Multilevel Growth Mixture Models for Classifying Groups , 2010 .
[36] Daniel S. Nagin,et al. Analyzing developmental trajectories: A semiparametric, group-based approach , 1999 .
[37] D. Moher,et al. Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review , 2006, The Medical journal of Australia.
[38] K. Roeder,et al. A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories , 2001 .
[39] Karen-Inge Karstoft,et al. Latent trajectories of trauma symptoms and resilience: the 3-year longitudinal prospective USPER study of Danish veterans deployed in Afghanistan. , 2014, The Journal of clinical psychiatry.
[40] Kamel Jedidi,et al. A maximum likelihood method for latent class regression involving a censored dependent variable , 1993 .
[41] Nilam Ram,et al. Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups , 2009, International journal of behavioral development.
[42] Jeroen K. Vermunt,et al. Estimating the Association between Latent Class Membership and External Variables Using Bias-adjusted Three-step Approaches , 2013 .
[43] D S Nagin,et al. Analyzing developmental trajectories of distinct but related behaviors: a group-based method. , 2001, Psychological methods.
[44] Alyssa M. Boasso,et al. Posttraumatic stress in deployed Marines: prospective trajectories of early adaptation. , 2015, Journal of abnormal psychology.
[45] James Algina,et al. The Consequences of Ignoring Variability in Measurement Occasions Within Data Collection Waves in Latent Growth Models , 2014, Multivariate behavioral research.
[46] Jay Magidson,et al. Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1 , 2016 .
[47] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[48] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[49] B. Muthén,et al. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .
[50] Daniel J Bauer,et al. The integration of continuous and discrete latent variable models: potential problems and promising opportunities. , 2004, Psychological methods.
[51] B. Muthén,et al. Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm , 1999, Biometrics.
[52] Jeroen K. Vermunt,et al. Longitudinal Research Using Mixture Models , 2010 .
[53] Ralf Dresner,et al. Health Measurement Scales A Practical Guide To Their Development And Use , 2016 .
[54] Karen Bandeen-Roche,et al. Residual Diagnostics for Growth Mixture Models , 2005 .
[55] K. Land,et al. AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL* , 1993 .
[56] Terry E. Duncan,et al. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition , 1999 .
[57] D. Rubin,et al. Testing the number of components in a normal mixture , 2001 .
[58] S. Depaoli,et al. Two Studies of Specification Error in Models for Categorical Latent Variables , 2011 .
[59] Brian A. Nosek,et al. Promoting Transparency in Social Science Research , 2014, Science.
[60] P. Schmidt,et al. Editorial: Measurement Invariance , 2015, Front. Psychol..
[61] J. Hoeksma,et al. On growth curves and mixture models , 2006 .
[62] J. Schafer,et al. Missing data: our view of the state of the art. , 2002, Psychological methods.
[63] Kenneth A Bollen,et al. The role of coding time in estimating and interpreting growth curve models. , 2004, Psychological methods.
[64] Chun Wang,et al. Fitting a linear-linear piecewise growth mixture model with unknown knots: A comparison of two common approaches to inference. , 2015, Psychological methods.
[65] Bengt Muthén,et al. The potential of growth mixture modelling , 2006 .
[66] J. Wicherts. Science revolves around the data , 2013 .
[67] Brian A. Nosek,et al. Promoting an open research culture : Author guidelines for journals could help to promote transparency , openness , and reproducibility , 2015 .
[68] J. Laub,et al. Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories , 2004 .
[69] R. van de Schoot,et al. The experience of traumatic events disrupts the measurement invariance of a posttraumatic stress scale , 2014, Front. Psychol..
[70] G. Bonanno,et al. Prospective trajectories of posttraumatic stress in college women following a campus mass shooting. , 2014, Journal of traumatic stress.
[71] B. Muthén,et al. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. , 2000, Alcoholism, clinical and experimental research.
[72] J. Singer,et al. Applied Longitudinal Data Analysis , 2003 .
[73] W. Holmes Finch,et al. Conducting Confirmatory Latent Class Analysis Using Mplus , 2011 .
[74] M. Kivimäki,et al. Job Contract at Birth of the First Child as a Predictor of Women’s Labor Market Attachment: Trajectory Analyses over 11 Years , 2015 .
[75] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[76] Daniel J Bauer,et al. Local solutions in the estimation of growth mixture models. , 2006, Psychological methods.
[77] G. Celeux,et al. An entropy criterion for assessing the number of clusters in a mixture model , 1996 .
[78] A. Shalev,et al. Early PTSD Symptom Trajectories: Persistence, Recovery, and Response to Treatment: Results from the Jerusalem Trauma Outreach and Prevention Study (J-TOPS) , 2013, PloS one.
[79] Brian A. Nosek,et al. Recommendations for Increasing Replicability in Psychology † , 2013 .
[80] Stefany Coxe,et al. Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis , 2013, Structural equation modeling : a multidisciplinary journal.
[81] B. Muthén. Latent Variable Mixture Modeling , 2001 .
[82] Daniel J. Bauer,et al. Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003) , 2003 .
[83] Benoit Liquet,et al. Estimation of extended mixed models using latent classes and latent processes: the R package lcmm , 2015, 1503.00890.
[84] Daniel J. Bauer. Observations on the Use of Growth Mixture Models in Psychological Research , 2007 .
[85] R. van de Schoot,et al. How to handle missing data: A comparison of different approaches , 2015 .
[86] Bengt Muthén,et al. Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003). , 2003, Psychological methods.
[87] Weiqi Luo,et al. Analysing ecological data , 2009 .
[88] D. Rubin,et al. The calculation of posterior distributions by data augmentation , 1987 .
[89] E. Erosheva,et al. Breaking Bad: Two Decades of Life-Course Data Analysis in Criminology, Developmental Psychology, and Beyond , 2014 .
[90] H. Akaike. INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD , 1973 .
[91] Peter B. Jones,et al. Developmental typology of trajectories to nighttime bladder control: epidemiologic application of longitudinal latent class analysis. , 2003, American journal of epidemiology.