Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis
暫譯: 社會科學研究中的依賴數據：形式、問題與分析方法

Stemmler, Mark, Wiedermann, Wolfgang, Huang, Francis L.

Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis
  • 出版商: Springer
  • 出版日期: 2024-10-22
  • 售價: $6,450
  • 貴賓價: 9.5 折 $6,128
  • 語言: 英文
  • 頁數: 941
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031563174
  • ISBN-13: 9783031563171

    • 海外代購書籍(需單獨結帳)

商品描述

This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). It presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom.

Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

商品描述(中文翻譯)

本書涵蓋以下主題：成長曲線模型、方向依賴、二元數據建模、項目反應模型（IRT）以及其他依賴數據分析的方法（例如，建模橫斷面依賴的方法、多維縮放技術和混合模型）。本書提出了處理數據的貢獻，這些數據違反了數據矩陣中獨立性的假設。當這一假設被違反且仍然應用假設獨立性的方法時，估計的參數可能會有偏差，統計決策也很可能是錯誤的。數據依賴性相關的問題已知已久，並促進了針對各種統計分析領域中依賴數據分析的專門方法的發展。這些方法包括，例如，對縱向數據的分析方法、依賴性修正以及自由度修正。

社會與行為科學、教育、計量經濟學和醫學的研究人員和研究生將會發現，這本關於現代統計方法的最新概述，對於處理與依賴數據相關的問題特別有用。

作者簡介

Mark Stemmler is Professor at Friedrich Alexander University Erlangen-Nuremberg (FAU), Department of Psychology
Wolfgang Wiedermann is Associate Professor, College of Education and Human Development, Co-Director of the Methodology Branch of the Missouri Prevention Science Institute, University of Missouri-Columbia (US).
Francis L. Huang is Associate Professor, College of Education and Human Development, Co-Director of the Methodology Branch of the Missouri Prevention Science Institute, University of Missouri-Columbia (US).

作者簡介(中文翻譯)

馬克·斯特梅勒（Mark Stemmler）是德國埃爾朗根-紐倫堡大學（Friedrich Alexander University Erlangen-Nuremberg, FAU）心理學系的教授。
沃爾夫岡·維德曼（Wolfgang Wiedermann）是美國密蘇里大學哥倫比亞分校（University of Missouri-Columbia）教育與人類發展學院的副教授，並擔任密蘇里預防科學研究所方法學分支的共同主任。
黃Francis L.（Francis L. Huang）是美國密蘇里大學哥倫比亞分校教育與人類發展學院的副教授，並擔任密蘇里預防科學研究所方法學分支的共同主任。

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