Bayesian Psychometric Modeling
暫譯: 貝葉斯心理測量模型

Levy, Roy, Mislevy, Robert J.

Bayesian Psychometric Modeling
  • 出版商: CRC
  • 出版日期: 2020-12-18
  • 售價: $2,400
  • 貴賓價: 9.5 折 $2,280
  • 語言: 英文
  • 頁數: 466
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367737094
  • ISBN-13: 9780367737092
  • 相關分類: 機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

商品描述

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment



Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.





Adopting a Bayesian approach can aid in unifying seemingly disparate--and sometimes conflicting--ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.





The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

商品描述(中文翻譯)

心理測量與評估的單一整合工具與程序框架



貝葉斯心理測量建模提出了一種統一的貝葉斯方法，涵蓋了傳統上分開的心理測量模型家族。它顯示出貝葉斯技術作為傳統方法的替代方案，在實現心理測量的許多目標上提供了獨特而深刻的優勢。





採用貝葉斯方法可以幫助統一看似不相關——有時甚至是衝突的——心理測量中的觀念和活動。本書解釋了如何使用貝葉斯方法進行心理測量，以及為什麼心理測量中的許多活動與貝葉斯思維相一致。





本書的第一部分介紹了基礎原則和統計模型，包括概念問題、常態分佈模型、馬可夫鏈蒙地卡羅估計和迴歸。第二部分更直接地聚焦於心理測量，涵蓋了流行的心理測量模型，包括古典測試理論、因素分析、項目反應理論、潛類別分析和貝葉斯網絡。全書通過主要來自教育評估的範例來說明程序。一個補充網站提供了範例中使用的數據集、WinBUGS 代碼、R 代碼和 Netica 檔案。

作者簡介

Roy Levy is an associate professor of measurement and statistical analysis in the T. Denny Sanford School of Social and Family Dynamics at Arizona State University. His primary research and teaching interests include methodological developments and applications of psychometrics and statistics to assessment, education, and the social sciences. He has received awards from the President of the United States, Division D of the American Educational Research Association, and the National Council on Measurement in Education.



Robert J. Mislevy is the Frederic M. Lord Chair in Measurement and Statistics at Educational Testing Service. He was previously a professor of measurement and statistics at the University of Maryland and an affiliated professor of second language acquisition and survey methodology. His research applies developments in statistics, technology, and psychology to practical problems in assessment, including the development of multiple-imputation analysis in the National Assessment of Educational Progress. He is a member of the National Academy of Education and has been a president of the Psychometric Society. He has received awards from the National Council on Measurement in Education and Division D of the American Educational Research Association.

作者簡介(中文翻譯)

羅伊·萊維 (Roy Levy) 是亞利桑那州立大學 T. Denny Sanford 社會與家庭動態學院的測量與統計分析副教授。他的主要研究和教學興趣包括心理測量學和統計學在評估、教育和社會科學中的方法論發展與應用。他曾獲得美國總統、美國教育研究協會 D 區以及全國教育測量委員會的獎項。

羅伯特·J·米斯萊維 (Robert J. Mislevy) 是教育測試服務機構的弗雷德里克·M·洛德測量與統計講座教授。他曾是馬里蘭大學的測量與統計教授，以及第二語言習得和調查方法的附屬教授。他的研究將統計學、技術和心理學的發展應用於評估中的實際問題，包括在全國教育進步評估中發展多重插補分析。他是全國教育學院的成員，並曾擔任心理測量學會的會長。他曾獲得全國教育測量委員會和美國教育研究協會 D 區的獎項。

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