Demonstrating how to best examine group-based segregation : A statistical and conceptual multilevel approach

Faculty/Chair:

Author:

;

Title of the Journal:

Methods, data, analyses : mda

ISSN:

1864-6956

Corporate Body:

GESIS - Leibniz Institute for the Social Sciences

Publisher Information:

Mannheim

Year of publication:

2018

Volume:

12

Issue:

2

Pages:

211-231

Language:

English

DOI:

Peer Reviewed:

Yes:

International Distribution:

Yes:

Open Access Journal:

Yes:

Type:

Article

URI:

Activation date:

November 22, 2018

Permalink https://fis.uni-bamberg.de/handle/uniba/44698