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The Missing Data Assumptions of the NEAT Design and their Implications for Test Equating

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  • Sandip Sinharay
  • Paul Holland

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Suggested Citation

  • Sandip Sinharay & Paul Holland, 2010. "The Missing Data Assumptions of the NEAT Design and their Implications for Test Equating," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 309-327, June.
  • Handle: RePEc:spr:psycho:v:75:y:2010:i:2:p:309-327
    DOI: 10.1007/s11336-010-9156-6
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    References listed on IDEAS

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    1. Kei Miyazaki & Takahiro Hoshino & Shin-ichi Mayekawa & Kazuo Shigemasu, 2009. "A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 1-19, March.
    2. Michelle Liou & Philip Cheng, 1995. "Equipercentile equating via data-imputation techniques," Psychometrika, Springer;The Psychometric Society, vol. 60(1), pages 119-136, March.
    3. Paul Holland, 1990. "On the sampling theory roundations of item response theory models," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 577-601, December.
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    Citations

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    Cited by:

    1. Alina Davier, 2013. "Observed-Score Equating: An Overview," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 605-623, October.
    2. Wallin, Gabriel & Wiberg, Marie, 2023. "Model misspecification and robustness of observed-score test equating using propensity scores," LSE Research Online Documents on Economics 118223, London School of Economics and Political Science, LSE Library.

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