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The Effect of Sampling-Time Variation on Latent Growth Curve Models

Miller, Matt L.; Ferrer, Emilio

Structural equation modeling. Volume 24:Issue 6 (2017); pp 831-854 -- Psychology Press, Taylor & Francis Group

Online access

  • Title:
    The Effect of Sampling-Time Variation on Latent Growth Curve Models
  • Author: Miller, Matt L.;
    Ferrer, Emilio
  • Found In: Structural equation modeling. Volume 24:Issue 6 (2017); pp 831-854
  • Journal Title: Structural equation modeling
  • Subjects: Multivariate analysis--Periodicals; Social sciences--Statistical methods--Periodicals; fit indexes--longitudinal growth curve model--parameter bias--sampling; Dewey: 519.535
  • Rights: Licensed
  • Publication Details: Psychology Press, Taylor & Francis Group
  • Abstract:

    Longitudinal data are often collected in waves in which a participant's data can be collected at different times within each wave, resulting in sampling-time variation that is unaccounted for when waves are treated as single time points. Little research has been reported on the effects of this temporal imprecision on longitudinal growth-curve modeling. This article describes the results of a simulation study into the effect of sampling-time variation on parameter estimation, model fit, and model comparison with an empirical validation of the model fit and comparison results.


  • Identifier: System Number: ETOCvdc_100049296268.0x000001; Journal ISSN: 1070-5511; doi/10.1080/10705511.2017.1346476
  • Publication Date: 2017
  • Physical Description: Electronic
  • Shelfmark(s): 8477.210000
  • UIN: ETOCvdc_100049296268.0x000001

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