Educational and Psychological Measurement

IF 0.6 Q3 SOCIAL SCIENCES, INTERDISCIPLINARY Measurement-Interdisciplinary Research and Perspectives Pub Date : 2022-07-03 DOI:10.1080/15366367.2021.2018216
L. Feuerstahler
{"title":"Educational and Psychological Measurement","authors":"L. Feuerstahler","doi":"10.1080/15366367.2021.2018216","DOIUrl":null,"url":null,"abstract":"Educational and Psychological Measurement, written by W. Holmes Finch and Brian French and first published in 2018 by Routledge is a 17-chapter textbook that provides an accessible introduction to classical and modern psychometrics. In this book, the authors provide a broad overview of a wide range of topics and regularly suggest more specialized texts for readers seeking deeper understanding. This book is intended “for students at the graduate school level, and for researchers working in the field of educational and psychological measurement who need a broad resource for understanding test theory” (Finch & French, p. ix). I imagine that this text could also be appropriate for an advanced undergraduate course on educational or psychological measurement. Several aspects of this book were designed particularly for an audience with minimal experience working with statistics or mathematics. Most chapters include “How It Works” sections in which equations are worked out for the reader with example input values. In addition, most chapters include “Psychometrics in the Real World” sections that provide extended worked examples and interpretations. Although the text is accessible to an audience new to statistics, audiences with this background will still learn much from the authors’ clear but nuanced explanations of topics throughout the book. The following review is based on my reading of the e-version of this textbook as accessed through the VitalSource platform. However, errors and typos that I found in the e-version were cross-checked with a print copy of the book, and the vast majority exist in the same way in both versions. Further comments on the e-version are included toward the end of this review. The remainder of this review includes an overview of the book’s 17 chapters and supplemental resources, followed by a discussion of the book’s overall strengths and limitations and some concluding thoughts.","PeriodicalId":46596,"journal":{"name":"Measurement-Interdisciplinary Research and Perspectives","volume":"105 1","pages":"175 - 180"},"PeriodicalIF":0.6000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement-Interdisciplinary Research and Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15366367.2021.2018216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Educational and Psychological Measurement, written by W. Holmes Finch and Brian French and first published in 2018 by Routledge is a 17-chapter textbook that provides an accessible introduction to classical and modern psychometrics. In this book, the authors provide a broad overview of a wide range of topics and regularly suggest more specialized texts for readers seeking deeper understanding. This book is intended “for students at the graduate school level, and for researchers working in the field of educational and psychological measurement who need a broad resource for understanding test theory” (Finch & French, p. ix). I imagine that this text could also be appropriate for an advanced undergraduate course on educational or psychological measurement. Several aspects of this book were designed particularly for an audience with minimal experience working with statistics or mathematics. Most chapters include “How It Works” sections in which equations are worked out for the reader with example input values. In addition, most chapters include “Psychometrics in the Real World” sections that provide extended worked examples and interpretations. Although the text is accessible to an audience new to statistics, audiences with this background will still learn much from the authors’ clear but nuanced explanations of topics throughout the book. The following review is based on my reading of the e-version of this textbook as accessed through the VitalSource platform. However, errors and typos that I found in the e-version were cross-checked with a print copy of the book, and the vast majority exist in the same way in both versions. Further comments on the e-version are included toward the end of this review. The remainder of this review includes an overview of the book’s 17 chapters and supplemental resources, followed by a discussion of the book’s overall strengths and limitations and some concluding thoughts.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
教育与心理测量
《教育与心理测量》由w·霍姆斯·芬奇和布莱恩·弗兰奇撰写,于2018年由劳特利奇出版社首次出版,是一本17章的教科书,提供了古典和现代心理测量学的通俗介绍。在这本书中,作者提供了一个广泛的主题的广泛概述,并定期建议更专业的文本为读者寻求更深入的理解。这本书的目的是“为研究生院的学生,以及在教育和心理测量领域工作的研究人员,他们需要广泛的资源来理解测试理论”(Finch & French,第ix页)。我想,这本书也可以适用于教育或心理测量的高级本科课程。这本书的几个方面是专门为与统计或数学工作经验最少的观众设计的。大多数章节包括“它是如何工作的”部分,其中方程为读者提供了示例输入值。此外,大多数章节包括“现实世界中的心理测量学”部分,提供扩展的工作示例和解释。虽然文本是可访问的观众新的统计,观众与这种背景仍然会学到很多从作者的清晰,但细致入微的解释主题贯穿全书。以下评论是基于我通过VitalSource平台访问的这本教科书的电子版阅读。然而,我在电子书中发现的错误和错字与印刷版书进行了交叉检查,绝大多数错误和错字在两个版本中都以同样的方式存在。对电子版本的进一步评论包括在本评论的末尾。这篇评论的其余部分包括对本书的17章和补充资源的概述,然后讨论本书的总体优势和局限性,以及一些结论性的想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Measurement-Interdisciplinary Research and Perspectives
Measurement-Interdisciplinary Research and Perspectives SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
1.80
自引率
0.00%
发文量
23
期刊最新文献
A Latent Trait Approach to the Measurement of Physical Fitness Application of Machine Learning Techniques for Fake News Classification The Use of Multidimensional Item Response Theory Estimations in Controlling Differential Item Functioning Opinion Instability and Measurement Errors: A G-Theory Analysis of College Students Predicting the Risk of Diabetes and Heart Disease with Machine Learning Classifiers: The Mediation Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1