Détails du livre
Format
Kindle
Pages
25
Langue
Anglais
Publié
Dec 1, 1999
Éditeur
National Association of Social Workers
Description
In a detailed exploration, the article by Shenyang Guo and David Hussey delves into the complexities of longitudinal rating data through the lens of a three-level hierarchical linear model. This method presents an innovative approach to understanding the nuances and variability found within social work research, offering valuable insights to practitioners and researchers alike.
The authors meticulously break down the statistical framework, demonstrating its application in real-world scenarios where data collection spans multiple time points. By integrating individual and group-level factors, they open up new avenues for interpreting outcomes and effects that traditional models may overlook.
This contribution to social work literature serves as an essential resource for those interested in advancing their understanding of statistical modeling in social research. It not only highlights the methodological rigor but also emphasizes the practical implications of employing such robust techniques in evaluating social programs and interventions.
The authors meticulously break down the statistical framework, demonstrating its application in real-world scenarios where data collection spans multiple time points. By integrating individual and group-level factors, they open up new avenues for interpreting outcomes and effects that traditional models may overlook.
This contribution to social work literature serves as an essential resource for those interested in advancing their understanding of statistical modeling in social research. It not only highlights the methodological rigor but also emphasizes the practical implications of employing such robust techniques in evaluating social programs and interventions.