複数の分野から構成されるテストにおけるIRTを用いた項目評価法:——臨地実習適正化のための看護系大学共用試験の項目バンク構築——  [in Japanese] An Attempt to Evaluate the Method to Construct Multiple Domains of IRT-based Scales:—— For the Purpose of Building Item Bank for a Common Achievement Test for Nursing Colleges——  [in Japanese]

Access this Article

Search this Article

Author(s)

Abstract

Background: As Japanese nursing colleges increasingly require common criteria for assessing practical nursing ability prior to entering clinical hospital practice, it is important to construct a test item bank that can facilitate the evaluation of multiple domains. However, ordinal IRT models, such as the 2 parameter logistic model (2PL), operate under the assumption of unidimensionality, preventing application to comprehensive testing of multiple domains. Method: We conducted a computer-based test with items from 20 domains, classified into three areas: (1) basic medicine, (2) basic nursing, and (3) clinical nursing. About 780 students answered items, which were applied to common-item design and calibrated item parameters using two strategies; the first strategy assumed one-factor model for each area, the second strategy assumed unidimensionality by domain. Conclusion: For constructing an item bank, estimating item parameters by domain results in larger test information and more appropriate parameter estimates than estimating parameters by area.

Background: As Japanese nursing colleges increasingly require common criteria for assessing practical nursing ability prior to entering clinical hospital practice, it is important to construct a test item bank that can facilitate the evaluation of multiple domains. However, ordinal IRT models, such as the 2 parameter logistic model (2PL), operate under the assumption of unidimensionality, preventing application to comprehensive testing of multiple domains. Method: We conducted a computer-based test with items from 20 domains, classified into three areas: (1) basic medicine, (2) basic nursing, and (3) clinical nursing. About 780 students answered items, which were applied to common-item design and calibrated item parameters using two strategies; the first strategy assumed one-factor model for each area, the second strategy assumed unidimensionality by domain. Conclusion: For constructing an item bank, estimating item parameters by domain results in larger test information and more appropriate parameter estimates than estimating parameters by area.

Journal

  • Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)

    Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 41(1), 17-34, 2014

    The Behaviormetric Society

Codes

  • NII Article ID (NAID)
    130004933268
  • NII NACSIS-CAT ID (NCID)
    AN0008437X
  • Text Lang
    JPN
  • ISSN
    0385-5481
  • NDL Article ID
    025390581
  • NDL Call No.
    Z6-1106
  • Data Source
    NDL  J-STAGE 
Page Top