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Original Articles

Distinguishing Between Latent Classes and Continuous Factors with Categorical Outcomes: Class Invariance of Parameters of Factor Mixture Models

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Pages 592-620 | Published online: 19 Dec 2008

REFERENCES

  • Agresti , A. 1990 . Categorical data analysis , New York : Wiley .
  • Akaike , H. 1974 . A new look at statistical model identification . IEEE Transactions on Automatic Control , AU-19 : 719 – 722 .
  • Akaike , H. 1987 . Factor analysis and AIC . Psychometrika , 52 : 317 – 332 .
  • APA . 1987 . Diagnostic and statistical manual of mental disorders, 3rd ed. text revision (DMS-III-R) , Washington , DC : American Psychiatric Association .
  • Arminger , G. , Stein , P. and Wittenberg , J. 1999 . Mixtures of conditional mean- and covariance structure models . Psychometrika , 64 : 475 – 494 .
  • Bartholomew , D. J. and Knott , M. 1999 . Latent variables models and factor analysis, , 2nd ed. , London : Arnold .
  • Bauer , D. B. and Curran , P. J. 2004 . The integration of continuous and discrete latent variable models: Potential problems and promising opportunities . Psychological Methods , 9 : 3 – 29 .
  • Bozdogan , H. 1987 . Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions . Psychometrika , 52 : 345 – 370 .
  • Dolan , C. V. 2000 . Investigating Spearman's hypothesis by means of multi-group confirmatory factor analysis . Multivariate Behavioral Research , 35 : 21 – 50 .
  • Dolan , C. V. and van der Maas , H. L. J. 1998 . Fitting multivariate normal finite mixtures subject to structural equation modeling . Psychometrika , 63 : 227 – 253 .
  • Greenbaum , P. E. , Del Boca , F. K. , Darkes , J. , Wang , C. and Goldman , M. S. 2005 . Variation in the drinking trajectories of freshman college students. . Journal of Consulting and Clinical Psychology , 73 : 229 – 238 .
  • Heinen , T. 1996 . Latent class and discrete latent trait models: Similarities and differences , Thousand Oaks , CA : Sage .
  • Hildebrandt , T. , Langenbucher , J. W. , Carr , S. J. and Sanjuan , P. 2007 . Modeling population heterogeneity in appearance and performance enhancing drug (APED) use: Applications of mixture modeling in 400 regular aped uses . Journal of Abnormal Psychology , 116 : 717 – 733 .
  • Jedidi , K. , Jagpal , H. S. and DeSarbo , W. S. 1997 . Finite mixture structural equation models for response based segmentation and unobserved heterogeneity . Marketing Science , 16 : 39 – 59 .
  • Kendler , K. S. and Prescott , C. A. 1999 . A population-based twin study of lifetime major depression in men and women . Archives of General Psychiatry , 56 : 39 – 44 .
  • Lo , Y. , Mendell , N. and Rubin , D. B. 2001 . Testing the number of components in a normal mixture . Biometrika , 88 : 767 – 778 .
  • Lubke , G. H. , Dolan , C. V. , Kelderman , H. and Mellenbergh , G. J. 2003 . On the relationship between sources of within- and between-group differences and measurement invariance in the context of the common factor model . Intelligence , 173 : 1 – 24 .
  • Lubke , G. H. and Muthèn , B. O. 2004 . Applying multi-group confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons . Structural Equation Modeling , 11 : 514 – 534 .
  • Lubke , G. H. , Muthén , B. O. , Moilanen , I. , McGough , J. J. , Loo , S. K. Swanson , J. M. 2007 . Subtypes vs. severity differences in Attention Deficit Hyperactivity Disorder in the Northern Finnish Birth Cohort (NFBC) . Journal of the American Association of Child and Adolescent Psychiatry , 46 : 1584 – 1593 .
  • Lubke , G. H. and Neale , M. C. 2006 . Distinguishing between latent classes and continuous factors: Resolution by maximum likelihood? . Multivariate Behavioral Research , 10 : 499 – 532 .
  • McCutcheon , A. L. 1987 . Latent class analysis , Thousand Oaks , CA : Sage . Quantitative Applications in the Social Sciences Series no. 64
  • McLachlan , G. J. and Peel , D. 2000 . Finite mixture models , New York : Wiley .
  • Meredith , W. 1993 . Measurement invariance, factor analysis, and factorial invariance . Psychometrika , 58 : 525 – 543 .
  • Millsap , R. E. and Tein , J. Y. 2004 . Assessing factorial invariance in ordered-categorical measures. . Multivariate Behavioral Research , 39 : 479 – 515 .
  • Muthén , B. O. and Asparouhov , T. 2002 . Latent variable analysis with categorical outcomes: Multiple-group and growth modeling in mplus [Mplus Webnote #4] Available from http://www.statmodel.com
  • Muthén , B. O. and Shedden , K. 1999 . Finite mixture modeling with mixture outcomes using the EM algorithm . Biometrics , 55 : 463 – 469 .
  • Muthén , L. K. and Muthén , B. O. 2007 . Mplus 4.2 [Computer program] , Los Angeles : Author .
  • Neuman , R. J. , Todd , R. D. , Heath , A. C. , Reich , W. , Hudziak , J. J. Bucholz , K. K. 1999 . The evaluation of ADHD typology in three constrasting samples: A latent class approach . Journal of the American Academy of Child and Adolescent Psychiatry , 38 : 25 – 33 .
  • Pickles , A. and Angold , A. 2003 . Natural categories or fundamental dimensions: On carving nature at the joints and the re-articulation of psychopathology . Development and Psychopathology , 15 : 529 – 551 .
  • Schwarz , G. 1978 . Estimating the dimensions of a model . Annals of Statistics , 6 : 461 – 464 .
  • Sclove , S. 1987 . Applications of model-selection criteria to some problems in multivariate analysis. . Psychometrika , 52 : 333 – 343 .
  • Titterington , D. M. , Smith , A. F. M. and Makov , U. E. 1985 . Statistical analysis of finite mixture distributions , New York : Wiley .
  • Tueller , S. and Lubke , G. H. Evaluation of structural equation mixture models: Parameter estimates and correct class assignment (submitted), Manuscript submitted for publication
  • Vermunt , J. K. and Magidson , J. 2003 . Latent class models for classification . Computational Statistics & Data Analysis , 41 : 531 – 537 .
  • Widaman , K. F. and Reise , S. P. 1997 . “ Exploring the measurement invariance of psychological instruments: Applications in the substance use domain ” . In The science of prevention: Methodological advances from alcohol and substance abuse research , Edited by: Bryant , K. J. , Windle , M. and West , S. G. 281 – 324 . Washington , DC : American Psychological Association .
  • Yung , Y. F. 1997 . Finite mixtures in confirmatory factor analysis models . Psychometrika , 62 : 297 – 330 .

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