EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"multidimensional item response theory"
Narrow search

Narrow search

Year of publication
Subject
All
Dutch identity 1 Item response theory 1 Latent class models 1 Rasch model 1 corruption 1 item covariates 1 log linear-by-linear association model 1 loglinear models 1 multidimensional item response theory 1 multidimensional item response theory (IRT) models 1 person covariates 1 polytomous item response theory (IRT) models 1 pseudolikelihood 1 transition economies 1
more ... less ...
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 1 Other 1
Language
All
English 1 Undetermined 1
Author
All
Anderson, Carolyn J. 1 Bartolucci, Francesco 1 Chang, Hua-Hua 1 Douglas, Jeffrey A. 1 Li, Zhushan 1 Pieroni, Luca 1 Roussos, Louis A. 1 Zhang, Jinming 1 d'Agostino, Giorgio 1
more ... less ...
Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
MPRA Paper 1
Source
All
BASE 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Identifying corruption through latent class models: evidence from transition economies
Pieroni, Luca; d'Agostino, Giorgio; Bartolucci, Francesco - Volkswirtschaftliche Fakultät, … - 2013
Evaluation of corrupt activities is incrementally based on administration of questionnaires to firms in business, and generally involves a large number of items. Data collected by questionnaires of this type can be analyzed by Latent Class (LC) models in order to classify firms into homogeneous...
Persistent link: https://www.econbiz.de/10011108158
Saved in:
Cover Image
Loglinear Models as Item Response Models
Li, Zhushan - 2010
For analyzing item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear...
Persistent link: https://www.econbiz.de/10009477625
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...