Explanatory Item Response Models A Generalized Linear and Nonlinear Approach

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

The book starts with a four-chapter section containing an introduction to the framework. The remaining chapters describe models for ordered-category data, multilevel models, models for differential item functioning, multidimensional models, models for local item dependency, and mixture models. It also includes a chapter on the statistical background and one on useful software. In order to make the task easier for the reader, a unified approach to notation and model description is followed throughout the chapters, and a single data set is used in most examples to make it easier to see how the many models are related. For all major examples, computer commands from the SAS package are provided that can be used to estimate the results for each model. In addition, sample commands are provided for other major computer packages.

Title:Explanatory Item Response Models  A Generalized Linear and Nonlinear Approach
Author:Paul De Boeck;Mark Wilson
Hardcover: 393pages
Publisher: Springer
Language: English
ISBN: 9781475739909

1 A framework for item response models.
2 Descriptive and explanatory item response models.
3 Models for polytomous data.-
4 An Introduction to (Generalized (Non)Linear Mixed Models.
5 Person regression models.-
6 Models with item and item group predictors.
7 Person-by-item predictors.
8 Multiple person dimensions and latent item predictors.
9 Latent item predictors with fixed effects.
10 Models for residual dependencies.
11 Mixture Models.
12 Estimation and software.

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

关键词：Generalized explanatory Generalize Nonlinear nonlinea background framework software describe includes

多谢分享！

It's good for me. Thanks~

It's good for me. Thanks~