{"title":"具有渐近正确的标准化人拟合统计量的能力估计的选择","authors":"Sandip Sinharay","doi":"10.1111/bmsp.12067","DOIUrl":null,"url":null,"abstract":"<p>Snijders (2001, <i>Psychometrika</i>,<b> 66</b>, 331) suggested a statistical adjustment to obtain the asymptotically correct standardized versions of a specific class of person-fit statistics. His adjustment has been used to obtain the asymptotically correct standardized versions of several person-fit statistics including the statistic (Drasgow <i>et al</i>., 1985, <i>Br. J. Math. Stat. Psychol</i>., <b>38</b>, 67), the infit and outfit statistics (e.g., Wright & Masters, 1982, <i>Rating scale analysis</i>, Chicago, IL: Mesa Press), and the standardized extended caution indices (Tatsuoka, 1984, <i>Psychometrika</i>,<b> 49</b>, 95). Snijders (2001), van Krimpen-Stoop and Meijer (1999, <i>Appl. Psychol. Meas</i>., <b>23</b>, 327), Magis <i>et al</i>. (2012, <i>J. Educ. Behav. Stat</i>., <b>37</b>, 57), Magis <i>et al</i>. (2014, <i>J. Appl. Meas</i>., <b>15</b>, 82), and Sinharay (2015b, <i>Psychometrika</i>, doi:10.1007/s11336-015-9465-x, 2016b, <i>Corrections of standardized extended caution indices</i>, Unpublished manuscript) have used the maximum likelihood estimate, the weighted likelihood estimate, and the posterior mode of the examinee ability with the adjustment of Snijders (2001). This paper broadens the applicability of the adjustment of Snijders (2001) by showing how other ability estimates such as the expected a posteriori estimate, the biweight estimate (Mislevy & Bock, 1982, <i>Educ. Psychol. Meas</i>., <b>42</b>, 725), and the Huber estimate (Schuster & Yuan, 2011, <i>J. Educ. Behav. Stat</i>., <b>36</b>, 720) can be used with the adjustment. A simulation study is performed to examine the Type I error rate and power of two asymptotically correct standardized person-fit statistics with several ability estimates. A real data illustration follows.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/bmsp.12067","citationCount":"16","resultStr":"{\"title\":\"The choice of the ability estimate with asymptotically correct standardized person-fit statistics\",\"authors\":\"Sandip Sinharay\",\"doi\":\"10.1111/bmsp.12067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Snijders (2001, <i>Psychometrika</i>,<b> 66</b>, 331) suggested a statistical adjustment to obtain the asymptotically correct standardized versions of a specific class of person-fit statistics. His adjustment has been used to obtain the asymptotically correct standardized versions of several person-fit statistics including the statistic (Drasgow <i>et al</i>., 1985, <i>Br. J. Math. Stat. Psychol</i>., <b>38</b>, 67), the infit and outfit statistics (e.g., Wright & Masters, 1982, <i>Rating scale analysis</i>, Chicago, IL: Mesa Press), and the standardized extended caution indices (Tatsuoka, 1984, <i>Psychometrika</i>,<b> 49</b>, 95). Snijders (2001), van Krimpen-Stoop and Meijer (1999, <i>Appl. Psychol. Meas</i>., <b>23</b>, 327), Magis <i>et al</i>. (2012, <i>J. Educ. Behav. Stat</i>., <b>37</b>, 57), Magis <i>et al</i>. (2014, <i>J. Appl. Meas</i>., <b>15</b>, 82), and Sinharay (2015b, <i>Psychometrika</i>, doi:10.1007/s11336-015-9465-x, 2016b, <i>Corrections of standardized extended caution indices</i>, Unpublished manuscript) have used the maximum likelihood estimate, the weighted likelihood estimate, and the posterior mode of the examinee ability with the adjustment of Snijders (2001). 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引用次数: 16
摘要
Snijders (2001, Psychometrika, 66,331)建议进行统计调整,以获得特定类别的人拟合统计的渐近正确的标准化版本。他的调整已被用于获得几种人拟合统计量的渐近正确的标准化版本,包括统计量(draggow等人,1985,Br。j .数学。统计,Psychol。, 38,67),内部和装备统计(例如,Wright &Masters, 1982,评定量表分析,芝加哥,IL: Mesa出版社)和标准化扩展谨慎指数(Tatsuoka, 1984, Psychometrika, 49,95)。Snijders (2001), van Krimpen-Stoop and Meijer(1999,苹果)。Psychol。量。Magis et al. (2012, J. Educ.)。Behav。统计,37,57),Magis et al. (2014, J. appll .)。量。Sinharay (2015b, Psychometrika, doi:10.1007/s11336-015-9465-x, 2016b,标准化扩展谨慎指数的修正,未发表的手稿)在Snijders(2001)的调整下,使用了考生能力的最大似然估计、加权似然估计和后验模型。本文扩大了Snijders(2001)调整的适用性,展示了其他能力估计,如预期后验估计、双权重估计(Mislevy &博克,1982年,教育。Psychol。量。, 42,725)和Huber估计(Schuster &袁,2011,[j]。Behav。Stat., 36,720)可以与调整一起使用。一个模拟研究进行了检验的第一类错误率和功率的两个渐近正确的标准化人拟合统计与几个能力估计。下面是一个真实的数据说明。
The choice of the ability estimate with asymptotically correct standardized person-fit statistics
Snijders (2001, Psychometrika, 66, 331) suggested a statistical adjustment to obtain the asymptotically correct standardized versions of a specific class of person-fit statistics. His adjustment has been used to obtain the asymptotically correct standardized versions of several person-fit statistics including the statistic (Drasgow et al., 1985, Br. J. Math. Stat. Psychol., 38, 67), the infit and outfit statistics (e.g., Wright & Masters, 1982, Rating scale analysis, Chicago, IL: Mesa Press), and the standardized extended caution indices (Tatsuoka, 1984, Psychometrika, 49, 95). Snijders (2001), van Krimpen-Stoop and Meijer (1999, Appl. Psychol. Meas., 23, 327), Magis et al. (2012, J. Educ. Behav. Stat., 37, 57), Magis et al. (2014, J. Appl. Meas., 15, 82), and Sinharay (2015b, Psychometrika, doi:10.1007/s11336-015-9465-x, 2016b, Corrections of standardized extended caution indices, Unpublished manuscript) have used the maximum likelihood estimate, the weighted likelihood estimate, and the posterior mode of the examinee ability with the adjustment of Snijders (2001). This paper broadens the applicability of the adjustment of Snijders (2001) by showing how other ability estimates such as the expected a posteriori estimate, the biweight estimate (Mislevy & Bock, 1982, Educ. Psychol. Meas., 42, 725), and the Huber estimate (Schuster & Yuan, 2011, J. Educ. Behav. Stat., 36, 720) can be used with the adjustment. A simulation study is performed to examine the Type I error rate and power of two asymptotically correct standardized person-fit statistics with several ability estimates. A real data illustration follows.
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