Applying Generalizability Theory using EduG

作者
Jean Cardinet,Sandra Johnson,Gianreto Pini
标识
DOI:10.4324/9780203866948
摘要

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline.Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding. Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG. Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男的应助被mwx采纳,获得10
刚刚
忽忽完成签到,获得积分10
刚刚
wangyucode发布了新的文献求助10
1秒前
1秒前
1秒前
勤恳的妙菱完成签到,获得积分10
1秒前
qihri完成签到,获得积分10
1秒前
华风发布了新的文献求助10
2秒前
pm发布了新的文献求助10
2秒前
oner完成签到,获得积分10
2秒前
噢噢噢发布了新的文献求助10
3秒前
康康发布了新的文献求助20
3秒前
3秒前
3秒前
3秒前
3秒前
科研通AI6.4的应助被阿喵采纳,获得10
4秒前
ZERO110发布了新的文献求助10
4秒前
华仔的应助被che采纳,获得10
5秒前
5秒前
Nole的应助被搞怪烨伟采纳,获得30
5秒前
虚心无颜发布了新的文献求助10
5秒前
5秒前
KaMiii完成签到,获得积分10
6秒前
bkagyin的应助被淡然靖柔采纳,获得10
6秒前
不靠谱发布了新的文献求助10
6秒前
6秒前
领导范儿的应助被byu采纳,获得10
6秒前
6秒前
6秒前
火星上的海亦完成签到,获得积分10
7秒前
yolo完成签到,获得积分10
7秒前
8秒前
8秒前
廉泽完成签到,获得积分10
8秒前
輓楓完成签到,获得积分10
8秒前
oner发布了新的文献求助10
8秒前
wangyucode发布了新的文献求助10
8秒前
Steven完成签到,获得积分10
8秒前
Beansprout完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Management and the Arts 510
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
Die Religion in Geschichte und Gegenwart (RGG), 4. Auflage, Band 7: R–S 300
Die Religion in Geschichte und Gegenwart (RGG), 4. Auflage, Band 1: A–B 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7793254
求助须知:如何正确求助?哪些是违规求助? 9329910
关于积分的说明 20433786
捐赠科研通 7383049
什么是DOI,文献DOI怎么找? 3323933
关于科研通互助平台的介绍 2471805
邀请新用户注册赠送积分活动 2341024