APS

29th APS Annual Convention · 2017

Five and More Level Multilevel Nested Structural Equation Modeling with Latent Quadratic Effects

Boston, MA · May 2017

Poster Session · Methodology

  • Joshua Pritikin
    Virginia Commonwealth Univ

Abstract

Rampart can efficiently model data gathered at many different
levels. For example, a single data set may contain measurements by
time (lowest level), by student, by teacher, by school, and by
district (highest level). An extension that permits latent quadratic
terms (i.e. interactions or random slopes) is described.

Quantitative

← Poster Session <span>XII</span>