Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multilevel Thinking: Discovering Variation, Universals, and Particulars in Cross-Cultural Research

Multilevel Thinking: Discovering Variation, Universals, and Particulars in Cross-Cultural Research

Grogan-Kaylor, Andrew

Paperback

Series: Pocket Guides to Social Work Research Methods

General Racism & Ethnic StudiesGeneral SociologyPoverty & Social Work

ISBN10: 0197806465
ISBN13: 9780197806463
Publisher: Oxford University Press
Published: Jul 23 2025
Pages: 208
Weight: 0.52
Height: 0.65 Width: 5.60 Depth: 8.25
Language: English
Multilevel models have become very common in social research, however, there are aspects of these models that are explored only infrequently. Those that rarely make their way into courses and training materials are published articles that appear in academic journals. The author's view is that multilevel modeling offers powerful tools for understanding the multilevel data that social researchers often confront. For example, researchers are often interested in studying outcomes for diverse groups of children in different schools, residents of diverse and different neighborhoods, or individuals or families living in diverse and different countries. Such inherently multilevel data lead to analytic complexities, some of which might be well understood, while others seem to be much less often appreciated. This book offers an accessible tutorial for applied researchers, especially those who see their research having some advocacy based component. The approach of this book, while offering up some equations, is less mathematically rigorous than some of the existing texts, and written with the intent of providing a clear and practically focused guide for the applied researcher who is attempting to carry out better research with diverse populations.

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