• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

A statistical method to detect improper examinees in a questionnaire to improve its quality

Research Project

Project/Area Number 16K16013
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Statistical science
Research InstitutionUniversity of Tsukuba

Principal Investigator

Ozaki Koken  筑波大学, ビジネスサイエンス系, 准教授 (50574612)

Project Period (FY) 2016-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords社会調査 / 統計科学 / 社会調査法 / 矛盾回答 / 心理学調査 / 指示項目 / 統計モデル / 質問紙調査法
Outline of Final Research Achievements

The purpose of this research was to develope a new method to detect improper examinees in a questionnaire to improve its quality by using neither inconsistent answers nor instruction items. Two outcomes of this research were as follows. 1. Data collection to develope a method has been accomplished. 2. A paper that compared a new method to decrease questionnaire items to decrease improper responses with a old method has been published.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • Research Products

    (2 results)

All 2018 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Remarks (1 results)

  • [Journal Article] 分冊版調査と短縮版調査の統計学的比較2018

    • Author(s)
      尾崎幸謙
    • Journal Title

      心理学研究

      Volume: 印刷中

    • NAID

      130006725991

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Remarks] 尾崎幸謙のホームページ

    • URL

      http://www010.upp.so-net.ne.jp/koken/

    • Related Report
      2017 Annual Research Report 2016 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2019-03-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi