Models for Uncertainty in Educational Testing

Models for Uncertainty in Educational Testing

by Nicholas T. Longford

About
A theme running through this book is that of making inference about sources of variation or uncertainty, and the author shows how information about these sources can be used for improved estimation of certain elementary quantities. Amongst the topics covered are: essay rating, summarizing item-level properties, equating of tests, small-area estimation, and incomplete longitudinal studies. Throughout, examples are given using real data sets which exemplify these applications.

Discuss Models for Uncertainty in Educational Testing with other readers

Join or start a book club for Models for Uncertainty in Educational Testing on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for Models for Uncertainty in Educational Testing?

Sign up free on Readfeed, then browse public clubs or start your own club with Models for Uncertainty in Educational Testing as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Models for Uncertainty in Educational Testing with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Models for Uncertainty in Educational Testing with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.