Item Response Theory for Psychologists

Item Response Theory for Psychologists pdf epub mobi txt 電子書 下載2025

出版者:Lawrence Erlbaum Assoc Inc
作者:Susan E. Embretson
出品人:
頁數:384
译者:
出版時間:2000-6-12
價格:GBP 61.50
裝幀:HRD
isbn號碼:9780805828184
叢書系列:
圖書標籤:
  • 英文 
  • Psychology 
  •  
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Product Description

This book develops an intuitive understanding of IRT principles through the use of graphical displays and analogies to familiar psychological principles. It surveys contemporary IRT models, estimation methods, and computer programs. Polytomous IRT models are given central coverage since many psychological tests use rating scales.

Ideal for clinical, industrial, counseling, educational, and behavioral medicine professionals and students familiar with classical testing principles, exposure to material covered in first-year graduate statistics courses is helpful. All symbols and equations are thoroughly explained verbally and graphically.

Review

It will be a useful book for a first course in IRT....a good book...for the working psychologist and the psychologist's mentor to share...

—Contemporary Psychology

...useful to anyone wanting to learn how to use IRT or to teach a course on it...

—British Journal of Mathematical and Statistical Psychology

...strongly recommended to psychologists interested in psychometric issues or researchers aiming to use this approach to analyze scales used in their own research.

—Studia Psychologica

...a thorough and comprehensive introduction to IRT and is a very useful reference book. It would be a helpful source to use when teaching students about IRT.

—Quality of Life Research

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评分

Indeed a nice book, although quite abstract. The chapter regarding maximum likelihood estimation is perhaps the best part of this book.

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語言挺曉暢的。望快齣新版。

评分

Indeed a nice book, although quite abstract. The chapter regarding maximum likelihood estimation is perhaps the best part of this book.

评分

Indeed a nice book, although quite abstract. The chapter regarding maximum likelihood estimation is perhaps the best part of this book.

评分

Indeed a nice book, although quite abstract. The chapter regarding maximum likelihood estimation is perhaps the best part of this book.

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