Advertisement

Between-Grid Analyses

  • Tom HollensteinEmail author
Chapter
  • 802 Downloads

Abstract

In this chapter, the basic analyses described in Chap. 5 are extended into comparisons across grids. These mostly person-centered analyses can be comparisons across different tasks or across measurement occasions as in a longitudinal study. The nature of these analyses often requires transforming the default stacked data format from the Gridware export into an unstacked format (see Box 6.1) and/or the exportation of individual cell measures (available only in version 1.1b, see Box 3.3). The fundamental question underlying these kinds of analyses can be stated as “how are the trajectories on two grids different from one another?” In this chapter, I will cover three ways that this has been done: profile analysis, intergrid distance scores, and cluster analysis.

Keywords

Bayesian Information Criterion Cluster Membership Measurement Occasion Latent Profile Analysis Filter Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of PsychologyQueen’s UniversityKingstonCanada

Personalised recommendations