Описание
This work delves into the intricacies of cross-classified multilevel models, offering a comprehensive guide to their application in improving estimates across various research fields. The authors, A. Fielding and H. Thomas, draw upon their extensive experience to present a clear, accessible exploration of these advanced statistical techniques.
Throughout the book, they illustrate how these models can address complex data structures that traditional approaches often struggle with, thus enhancing the reliability of research findings. By bridging theory and practice, the authors empower researchers to harness the full potential of multilevel modeling for more insightful and accurate analyses.
Throughout the book, they illustrate how these models can address complex data structures that traditional approaches often struggle with, thus enhancing the reliability of research findings. By bridging theory and practice, the authors empower researchers to harness the full potential of multilevel modeling for more insightful and accurate analyses.
Детали книги
Формат
Мягкая обложка
Страницы
75 страниц
Язык
Английский
Опубликовано
сен 1, 2006
Издатель
Univ.B'ham.,Faculty of Educ.
ISBN-10
0704426013
ISBN-13
9780704426016