ABSTRACT
This chapter outlines how growth mixture modeling can be used to study achievement and learning progress. The work is motivated by a study of reading development among children from kindergarten to first grade. Section 1 presents the data and the substantive problem. Section 2 discusses random coefficient growth modeling. Section 3 presents how random coefficient growth modeling in a latent variable framework can be used to relate the growth factors of two growth processes. Section 4 extends the latent variable framework so that multiple classes of development can be studied.
