Complex Surveys: A Guide to Analysis Using R (Paperback)

A complete guide to carrying out complex survey analysis using R

As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields.

The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems.

Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

《使用R進行複雜調查分析的完整指南》

隨著調查分析繼續成為社會學研究的核心組成部分，研究人員越來越依賴從複雜調查中收集的數據進行傳統分析。《複雜調查》是一本實用指南，介紹如何使用R這種免費且可下載的統計編程語言分析這類數據。作為R的特定調查套件的創建者，作者提供了如何成功使用軟件分析複雜調查數據的最終演示，同時利用健康和社會科學研究中最新的數據來展示調查研究方法在這些領域的應用。

本書首先介紹了調查分析中的基本工具和主題，如簡單和分層抽樣、群集抽樣、線性回歸和分類數據回歸。隨後的章節深入探討了複雜調查分析的更多技術方面，包括後分層、兩階段抽樣、缺失數據和因果推斷。整本書都強調圖形、回歸建模和兩階段設計。此外，作者還提供了流行病學兩階段設計的獨特討論，以及用於因果推斷的概率加權。書中的所有示例和圖形都是使用R生成的，相關網站提供了R代碼，讓讀者能夠重現所呈現的內容。每章結束時都有不同難度的練習題，詳細的附錄則概述了其他數學和計算描述，以幫助讀者比較不同軟件系統的結果。

《複雜調查》是高年級本科生和研究生課程中有關抽樣和複雜調查的優秀教材。對於社會和健康科學中應用統計學和從業人員在日常工作中使用統計學的實用參考指南。