Hula William D, Kellough Stacey, Fergadiotis Gerasimos
J Speech Lang Hear Res. 2015 Jun 1;58(3):878-890. doi: 10.1044/2015_JSLHR-L-14-0297.
The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015), in which we fitted the PNT to a 1-parameter logistic item-response-theory model and examined the validity and precision of the resulting item parameter and ability score estimates.
Using archival data collected from participants with aphasia, we simulated two PNT-CAT versions and two previously published static PNT short forms, and compared the resulting ability score estimates to estimates obtained from the full 175-item PNT. We used a jackknife procedure to maintain independence of the samples used for item estimation and CAT simulation.
The PNT-CAT recovered full PNT scores with equal or better accuracy than the static short forms. Measurement precision was also greater for the PNT-CAT than the static short forms, though comparison of adaptive and static nonoverlapping alternate forms showed minimal differences between the two approaches.
These results suggest that CAT assessment of naming in aphasia has the potential to reduce test burden while maximizing the accuracy and precision of score estimates.
本研究旨在开发费城命名测试(PNT;Roach、Schwartz、Martin、Grewal和Brecher,1996)的计算机自适应测试(CAT)版本,以缩短测试长度同时最大限度地提高测量精度。本文是一篇配套文章(Fergadiotis、Kellough和Hula,2015)的直接延伸,在那篇文章中,我们将PNT拟合到单参数逻辑斯蒂项目反应理论模型,并检验了所得项目参数和能力得分估计值的有效性和精度。
利用从失语症患者收集的档案数据,我们模拟了两个PNT-CAT版本和两个先前发表的静态PNT简版,并将所得的能力得分估计值与从完整的175项PNT获得的估计值进行比较。我们使用刀切法来保持用于项目估计和CAT模拟的样本的独立性。
PNT-CAT恢复完整PNT分数的准确性与静态简版相当或更高。PNT-CAT的测量精度也高于静态简版,不过自适应和静态非重叠备用形式的比较显示两种方法之间差异极小。
这些结果表明,失语症命名的CAT评估有可能减轻测试负担,同时最大限度地提高得分估计的准确性和精度。