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2 results

Parceling in Structural Equation Modeling

Parceling in Structural Equation Modeling
  • A Comprehensive Introduction for Developmental Scientists
  • Todd D. Little, Charlie Rioux, Omolola A. Odejimi, Zachary L. Stickley
  • Published online:
    07 July 2022
    Print publication:
    28 July 2022
  • Parceling is pre-modeling strategy to create fewer and more reliable indicators of constructs for use with latent variable models. Parceling is particularly useful for developmental scientists because longitudinal models can become quite complex and even intractable when measurement models of items are fit. In this Element the authors provide a detailed account of the advantages of using parcels, their potential pitfalls, as well as the techniques for creating them for conducting latent variable structural equation modeling (SEM) in the context of the developmental sciences. They finish with a review of the recent use of parcels in developmental journals. Although they focus on developmental applications of parceling, parceling is also highly applicable to any discipline that uses latent variable SEM.

  • Chapter 12 - Measuring the Environments of Early Care, Education, and Intervention Programs for Children in Poverty

  • from Part III - Environments
  • Edited by Linda Mayes, Yale University, Connecticut, Michael Lewis
  • Book:
    The Cambridge Handbook of Environment in Human Development
    Published online:
    05 October 2012
    Print publication:
    27 August 2012, pp 243-258

  • Summary

    This chapter argues that the treatment of the environment as a separable entity from systems of interest is not consistent with a dynamic systems (DS) perspective. Instead, the environment is a macrolevel within a system's organization. The chapter presents the definition of the system and shows how that definition reflects the researcher's or theorist's choice of the level of analysis. Incorporating analyses real-time and developmental-time scales, even without adopting a systems view, is perhaps the most daunting endeavor of developmental research. The chapter describes one such methodology, the state space grid (SSG) technique, as it intuitively illustrates the relations between structural and temporal aspects of system dynamics. It reviews various SSG studies that reveal critical aspects of system dynamics and structure. Finally, the chapter discusses the implications of the DS approach for the study of environmental contexts.