Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata (Hardcover) (問卷的統計分析:基於 R 和 Stata 的統一方法)
Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
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商品描述
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.
The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.
Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors’ web page.
商品描述(中文翻譯)
《問卷統計分析:基於 R 和 Stata 的統一方法》介紹了專門用於分析問卷收集數據的統計方法。本書採用應用方法進行測試和測量任務,反映了統計方法和軟件在教育、心理學、社會學和其他領域中的日益廣泛應用。適合應用統計學和心理測量學的研究生以及教育、健康和市場研究的從業人員閱讀。
本書涵蓋了經典測試理論(CTT)的基礎知識,測試信度、效度和量表,以及項目反應理論(IRT)的基礎知識和二分和多分項目的IRT。作者還探討了最新的IRT擴展,如帶有協變量的IRT模型,多維IRT模型,用於階層和長期數據的IRT模型以及潛在類別IRT模型。他們還描述了估計方法和診斷方法,包括圖形診斷工具,參數和非參數檢驗,以及差異項目功能。
每種方法都附帶了 Stata 和 R 軟件代碼。為了增強理解,本書在示例中使用了真實數據集,並詳細說明了軟件輸出。數據集可在作者的網頁上獲得。