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Education Systems and InequalitiesInternational Comparisons$
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Andreas Hadjar and Christiane Gross

Print publication date: 2016

Print ISBN-13: 9781447326106

Published to Policy Press Scholarship Online: January 2017

DOI: 10.1332/policypress/9781447326106.001.0001

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Data analysis techniques to model the effects of education systems on educational inequalities

Data analysis techniques to model the effects of education systems on educational inequalities

Chapter:
(p.115) Six Data analysis techniques to model the effects of education systems on educational inequalities
Source:
Education Systems and Inequalities
Author(s):

Christiane Gross

Publisher:
Policy Press
DOI:10.1332/policypress/9781447326106.003.0007

On the basis of quantitative data, this contribution illustrates how to model the impact of education systems on educational inequalities. When examining this question, researchers have to decide whether to compare only a small number of countries or regions (comparative approach) or whether to include numerous countries and examine them by means of multi-level analysis (multi-level approach). This chapter will offer suggestions for both approaches, while focusing on the multi-level approach. This contribution will provide basic guidelines regarding multilevel analysis on (a) why, when and how to centre variables (grand-mean versus group-mean), (b) how to tackle missing data (unit and item nonresponse), (c) when to use random-slopes versus fixed-slopes, (d) how to apply regression diagnostics in multi-level models, (e) when to adopt robust standard errors, and (f) how to interpret interaction and cross-level effects.

Keywords:   education systems, comparative approach, multi-level approach, multilevel analysis, regression diagnostics

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