Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences pdf epub mobi txt 電子書 下載2025
- 發展心理學
- 行為科學
- 雙變量數據
- 縱嚮數據分析
- 統計建模
- 因果推斷
- 網絡分析
- 關係數據
- 多水平建模
- 數據分析方法
具體描述
This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. Quantitative and developmental experts describe best practices for modeling interdependent data that stem from interactions within families, relationships, and peer groups, for example. Complex models for analyzing longitudinal data, such as growth curves and time series, are also presented. Many contributors are innovators of the techniques and all are able to clearly explain the methodologies and their practical problems including issues of measurement, missing data, power and sample size, and the specific limitations of each method. Featuring a balance between analytic strategies and applications, the book addresses: The Actor-Partner Interdependence Model for analyzing influence between two individuals; The Intraclass Correlational Approach for analyzing distinguishable roles (parent-child) or exchangeable (same-sex) dyadic data; The Social Relations Model for analyzing group interdependency; and Social Network Analysis approaches for relationships between individuals. This book is intended for graduate students and researchers across the developmental, social, behavioral, and educational sciences. It is an excellent research guide and a valuable resource for advanced methods courses.
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