The Application of the Item Response Theory in China’s Public Opinion Survey Design

Quan LIU, Ting LIU

Abstract


In this paper, we use the item response theory (IRT), take the public opinion poll questionnaire survey design as main lines, combine college campus life satisfaction survey, discuss the basic principle of IRT public opinion poll questionnaire survey design systematically and research key technology and method of the process specifications, survey topic choice, scheme configuration, error control and satisfaction standards definition of the public opinion poll questionnaire survey design. Studies show that this theory and method overcomes the problem, which the public opinion poll questionnaire survey design under classical test theory (CTT) can not solve it and IRT may improve the quality of the public opinion poll questionnaire survey design.
Key words: The public opinion poll survey; Questionnaire design; IRT; Survey technology research

Keywords


The public opinion poll survey; Questionnaire design; IRT; Survey technology research

Full Text:

PDF


DOI: http://dx.doi.org/10.3968/j.mse.1913035X20110503.1z242

Refbacks

  • There are currently no refbacks.


Copyright (c)




Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures