Micro–Macro Multilevel Analysis for Discrete Data: A Latent Variable Approach and an Application on Personal Network Data  

Oleh:

Bennink, Margot ; Croon, Marcel A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 42 no. 04 (Nov. 2013), page 431-457.
Topik: Generalized Linear Modeling; Multilevel Analysis; Level-2 Outcome; Latent Class Analysis; Latent Variable; Micro–Macro Analysis; Personal Network; Marriage; Religion
Fulltext: S28 v42 n4 2013 p431,win.pdf (267.45KB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A multilevel regression model is proposed in which discrete individual-level variables are used as predictors of discrete group-level outcomes. It generalizes the model proposed by Croon and van Veldhoven for analyzing micro–macro relations with continuous variables by making use of a specific type of latent class model. A first simulation study shows that this approach performs better than more traditional aggregation and disaggreagtion procedures. A second simulation study shows that the proposed latent variable approach still works well in a more complex model, but that a larger number of level-2 units is needed to retain sufficient power. The more complex model is illustrated with an empirical example in which data from a personal network are used to analyze the interaction effect of being religious and surrounding yourself with married people on the probability of being married.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali