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  • Search: subject:"multi-level and hierarchichal models"
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Year of publication
Subject
All
comparative research 2 context effects 2 hierarchical data 2 multi-level and hierarchichal models 2
Online availability
All
Free 2
Type of publication
All
Article 1 Book / Working Paper 1
Type of publication (narrower categories)
All
Article 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 2
Author
All
Heisig, Jan Paul 2 Schaeffer, Merlin 2
Published in...
All
European Sociological Review 1
Source
All
ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Why you should always include a random slope for the lower-level variable involved in a cross-level interaction
Heisig, Jan Paul; Schaeffer, Merlin - 2019
Mixed-effects multilevel models are often used to investigate cross-level interactions, a specific type of context effect that may be understood as an upper-level variable moderating the association between a lower-level predictor and the outcome. We argue that multilevel models involving...
Persistent link: https://www.econbiz.de/10012133963
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Cover Image
Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction
Heisig, Jan Paul; Schaeffer, Merlin - In: European Sociological Review 35 (2019) 2, pp. 258–279
Mixed-effects multilevel models are often used to investigate cross-level interactions, a specific type of context effect that may be understood as an upper-level variable moderating the association between a lower-level predictor and the outcome. We argue that multilevel models involving...
Persistent link: https://www.econbiz.de/10011995434
Saved in:
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