How to use multilevel modeling to investigate mixed effects in business research /
Multilevel modeling is an essential technique for capturing the nuances of hierarchical business data, such as those on individuals within firms or firms within industries. Because hierarchical data consists of multiple units of analysis with one nested within the other, multilevel modeling examines...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2025.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Multilevel modeling is an essential technique for capturing the nuances of hierarchical business data, such as those on individuals within firms or firms within industries. Because hierarchical data consists of multiple units of analysis with one nested within the other, multilevel modeling examines how the variance in a dependent variable is explained by incorporating information from all nesting levels. It identifies not only unique level impacts but also can capture across-level interactions on a dependent variable of interest. This How-to Guide explains the concepts and applications of multilevel modeling. It covers the importance of multilevel analysis, why it is used, and the basic types of multilevel models, and it provides practical steps for estimating these models. Additionally, this guide includes an example using real-world data demonstrating how multilevel modeling is applied in practice. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781036213602 1036213609 |