On Latent Growth Models for Composites and Their Constituents

REFERENCES

• Bentler , P. M. and Wu , E. 2012 . EQS structural equation modeling software , Encino , CA : Multivariate Software, Inc .
   Google Scholar
• Bollen , K. A. and Curran , P. J. 2006 . Latent curve models: A structural equation perspective , New York , NY : Wiley .
   Google Scholar
• Bollen , K. A. and Lennox , R. 1991 . Conventional wisdom on measurement: A structural equation perspective. . Psychological Bulletin , 110 : 305 – 314 .
   Web of Science ®Google Scholar
• Diamantopoulos , A. , Riefler , P. and Roth , K. P. 2005 . The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. . Journal of Applied Psychology , 90 : 710 – 730 .
   PubMed Web of Science ®Google Scholar
• Diamantopoulos , A. , Riefler , P. and Roth , K. P. 2008 . Advancing formative measurement models. . Journal of Business Research , 61 : 1203 – 1218 .
   Web of Science ®Google Scholar
• Duncan , T. E. , Duncan , S. C. and Strycker , L. A. 2006 . An introduction to latent variable growth curve modeling: Concepts, issues, and applications () , 2nd ed. , Mahwah , NJ : Erlbaum .
   Google Scholar
• Hancock , G. R. , Harring , J. R. and Lawrence , F. R. 2013 . “ Using latent growth models to evaluate longitudinal change. ” . In Structural equation modeling: A second course ( , 2nd ed. , Edited by: Hancock , G. R. and Mueller , R. O. 309 – 341 . Charlotte , NC : Information Age .
   Google Scholar
• Hancock , G. R. , Kuo , W. and Lawrence , F. R. 2001 . An illustration of second-order latent growth models. . Structural Equation Modeling: A Multidisciplinary Journal , 8 : 470 – 489 .
   Web of Science ®Google Scholar
• Kline , R. B. 2013 . “ Reverse arrow dynamics: Feedback loops and formative measurement. ” . In Structural equation modeling: A second course ( , 2nd ed. , Edited by: Hancock , G. R. and Mueller , R. O. 41 – 79 . Charlotte , NC : Information Age .
   Google Scholar
• Marakas , G. M. , Johnson , R. D. and Clay , P. F. 2007 . The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability, and stability over time. . Journal of the Association for Information Systems , 8 : 16 – 46 .
   Web of Science ®Google Scholar
• McArdle , J. J. 1988 . “ Dynamic but structural equation modeling of repeated measures data. ” . In Handbook of multivariate experimental psychology ( , 2nd ed. , Edited by: Nesselroade , J. R. and Cattell , R. B. 561 – 614 . New York , NY : Plenum Press .
   Google Scholar
• Preacher , K. J. , Wichman , A. , MacCallum , R. C. and Briggs , N. E. 2008 . Latent growth curve modeling , Thousand Oaks , CA : Sage .
   Google Scholar
• Rindskopf , D. 1984 . Using phantom and imaginary latent variables to parameterize constraints in in linear structural models. . Psychometrika , 49 : 37 – 47 .
   Web of Science ®Google Scholar
• Tisak , J. and Meredith , W. 1990 . “ Descriptive and associative development models. ” . In Statistical methods in longitudinal research (Vol. 2 , Edited by: Von Eye , A. 387 – 406 . Boston , MA : Academic .
   Google Scholar
• Willett , J. B. and Sayer , A. G. 1996 . “ Cross-domain analyses of change over time: Combining growth modeling and covariance structure analysis. ” . In Advanced structural equation modeling , Edited by: Marcoulides , G. A. and Schumacker , R. E. 125 – 157 . Mahwah , NJ : Erlbaum .
   Google Scholar