A Comparison of Calibration Methods and Proficiency Estimators Based on Item Response Theory in Vertical Scaling

被引:1
|
作者
Altun, Aysegul [1 ]
Kelecioglu, Hulya [2 ]
机构
[1] Ondokuz Mayis Univ, Egitim Fak, Samsun, Turkey
[2] Hacettepe Univ, Egitim Fak, Ankara, Turkey
关键词
Vertical scaling; Item response theory (IRT); Mathematic achievements;
D O I
10.16986/HUJE.2016015183
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this study the comparison of the vertical scales, which are obtained through the combination of separate and concurrent calibration based on item response theory and Expected A Posteriori,, Maximum A Posteriori and Maximum Likelihood proficiency estimation methods, take place. For this comparison firstly, math tests for the 6th, 7th and 8th grades were composed from the questions asked in SBS (high school entrance exam) between 20082010 years. Then, the vertical scales were developed by using the scores obtained from the answers of 503 6th grade, 502 7th grade and 500 8th grade students to the math tests in different difficulty levels. By using the scale scores which were obtained from these scores placed in the same scale with the vertical scaling process, means and the difference between the means, effect sizes and horizontal distances were calculated so it was tried to be determined how the choices in scaling process affected the vertical scaling
引用
收藏
页码:447 / 460
页数:14
相关论文
共 50 条
  • [21] Proficiency testing of fingerprint examiners with Bayesian Item Response Theory
    Luby, Amanda S.
    Kadane, Joseph B.
    LAW PROBABILITY & RISK, 2018, 17 (02): : 111 - 121
  • [22] Comparison of structural equation modelling, item response theory and Rasch measurement theory-based methods for response shift detection at item level: A simulation study
    Blanchin, Myriam
    Guilleux, Alice
    Hardouin, Jean-Benoit
    Sebille, Veronique
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2020, 29 (04) : 1015 - 1029
  • [23] A Comparison of Equating Methods and Linking Designs for Developing an Item Pool under Item Response Theory
    Sayaka Arai
    Shin-ichi Mayekawa
    Behaviormetrika, 2011, 38 (1) : 1 - 16
  • [24] Comparison of item response theory ability and item parameters according to classical and Bayesian estimation methods
    Selcuk, Eray
    Demir, Ergul
    INTERNATIONAL JOURNAL OF ASSESSMENT TOOLS IN EDUCATION, 2024, 11 (02): : 213 - 248
  • [25] A Comparison of Different Item Response Theory Models for Scaling Speeded C-Tests
    Forthmann, Boris
    Grotjahn, Ruediger
    Doebler, Philipp
    Baghaei, Purya
    JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT, 2020, 38 (06) : 692 - 705
  • [26] THEORY AND METHODS WEIGHTING OF HOUSEHOLD SURVEY DATA: A COMPARISON OF VARIOUS CALIBRATION, INTEGRATED AND COSMETIC ESTIMATORS
    Neethling, A.
    Galpin, J. S.
    SOUTH AFRICAN STATISTICAL JOURNAL, 2006, 40 (02) : 123 - 150
  • [27] Comparison of Trust Assessment Scales Based on Item Response Theory
    Dai, Buyun
    Zhang, Wenqing
    Wang, Yang
    Jian, Xiaozhu
    FRONTIERS IN PSYCHOLOGY, 2020, 11
  • [28] Comparison of test equating methods based on item response theory according to the sample size and ability distribution
    Kilmen, Sevilay
    Demirtasli, Nukhet
    4TH WORLD CONFERENCE ON EDUCATIONAL SCIENCES (WCES-2012), 2012, 46 : 130 - 134
  • [29] Comparison of Different Ability Estimation Methods Based on 3 and 4PL Item Response Theory
    Dogruoz, Ebru
    Akin Arikan, Cigdem
    PAMUKKALE UNIVERSITESI EGITIM FAKULTESI DERGISI-PAMUKKALE UNIVERSITY JOURNAL OF EDUCATION, 2020, (50): : 50 - 69
  • [30] Xcalibre Item Parameter Calibration Software for Item Response Theory and Rasch Models
    Hurtz, Gregory M.
    MEASUREMENT-INTERDISCIPLINARY RESEARCH AND PERSPECTIVES, 2022, 20 (04) : 257 - 279