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本文引用的文献

1
Connections and selections: Comparing multivariate predictions and parameter associations from latent variable models of picture naming.关联与选择:比较图片命名潜在变量模型中的多变量预测与参数关联
Cogn Neuropsychol. 2021 Feb;38(1):50-71. doi: 10.1080/02643294.2020.1837092. Epub 2020 Nov 5.
2
Effects of Semantic Feature Type, Diversity, and Quantity on Semantic Feature Analysis Treatment Outcomes in Aphasia.语义特征类型、多样性和数量对失语症语义特征分析治疗结果的影响。
Am J Speech Lang Pathol. 2021 Feb 11;30(1S):344-358. doi: 10.1044/2020_AJSLP-19-00112. Epub 2020 Jun 23.
3
How Much Time Do People With Aphasia Need to Respond During Picture Naming? Estimating Optimal Response Time Cutoffs Using a Multinomial Ex-Gaussian Approach.失语症患者在图片命名时需要多少时间来做出反应?使用多项 Ex-Gaussian 方法估计最佳反应时间截止值。
J Speech Lang Hear Res. 2020 Feb 26;63(2):599-614. doi: 10.1044/2019_JSLHR-19-00255. Epub 2020 Feb 5.
4
Developing, Implementing, and Improving Assessment and Treatment Fidelity in Clinical Aphasia Research.发展、实施和提高临床失语症研究中的评估和治疗的忠实度。
Am J Speech Lang Pathol. 2020 Feb 7;29(1):286-298. doi: 10.1044/2019_AJSLP-19-00126. Epub 2020 Jan 28.
5
Empirical Evaluation of Computer-Adaptive Alternate Short Forms for the Assessment of Anomia Severity.基于计算机自适应的命名障碍严重程度评估的替代简短形式的实证评估。
J Speech Lang Hear Res. 2019 Dec 18;63(1):163-172. doi: 10.1044/2019_JSLHR-L-19-0213. Print 2020 Jan 22.
6
Dynamic Brain Interactions during Picture Naming.动态大脑互动在图片命名中。
eNeuro. 2019 Jul 11;6(4). doi: 10.1523/ENEURO.0472-18.2019. Print 2019 Jul/Aug.
7
Semantic interference in speech error production in a randomized continuous naming task: Evidence from aphasia.随机连续命名任务中言语错误产生的语义干扰:来自失语症的证据。
Lang Cogn Neurosci. 2019;34(1):69-86. doi: 10.1080/23273798.2018.1501500. Epub 2018 Jul 26.
8
To select or to wait? The importance of criterion setting in debates of competitive lexical selection.选择还是等待?竞争词汇选择辩论中标准设定的重要性。
Cogn Neuropsychol. 2019 Jul-Sep;36(5-6):193-207. doi: 10.1080/02643294.2018.1476335. Epub 2018 Jun 5.
9
A cognitive psychometric model for assessment of picture naming abilities in aphasia.一种用于评估失语症患者图片命名能力的认知心理计量学模型。
Psychol Assess. 2018 Jun;30(6):809-826. doi: 10.1037/pas0000529. Epub 2018 Mar 19.
10
Common pitfalls in statistical analysis: Measures of agreement.统计分析中的常见陷阱:一致性度量
Perspect Clin Res. 2017 Oct-Dec;8(4):187-191. doi: 10.4103/picr.PICR_123_17.

超越百分正确:衡量个体图片命名能力的变化。

Beyond Percent Correct: Measuring Change in Individual Picture Naming Ability.

机构信息

Department of Cognitive Sciences, University of California, Irvine.

Department of Language Science, University of California, Irvine.

出版信息

J Speech Lang Hear Res. 2022 Jan 12;65(1):215-237. doi: 10.1044/2021_JSLHR-20-00205. Epub 2021 Nov 24.

DOI:10.1044/2021_JSLHR-20-00205
PMID:34818508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9154021/
Abstract

PURPOSE

Meaningful changes in picture naming responses may be obscured when measuring accuracy instead of quality. A statistic that incorporates information about the severity and nature of impairments may be more sensitive to the effects of treatment.

METHOD

We analyzed data from repeated administrations of a naming test to 72 participants with stroke aphasia in a clinical trial for anomia therapy. Participants were divided into two groups for analysis to demonstrate replicability. We assessed reliability among response type scores from five raters. We then derived four summary statistics of naming ability and their changes over time for each participant: (a) the standard accuracy measure, (b) an accuracy measure adjusted for item difficulty, (c) an accuracy measure adjusted for item difficulty for specific response types, and (d) a distance measure adjusted for item difficulty for specific response types. While accuracy measures address the likelihood of a correct response, the distance measure reflects that different response types range in their similarity to the target. Model fit was assessed. The frequency of significant improvements and the average magnitude of improvements for each summary statistic were compared between treatment groups and a control group. Effect sizes for each model-based statistic were compared with the effect size for the standard accuracy measure.

RESULTS

Interrater and intrarater reliability were near perfect, on average, though compromised somewhat by phonological-level errors. The effects of treatment were more evident, in terms of both frequency and magnitude, when using the distance measure versus the other accuracy statistics.

CONCLUSIONS

Consideration of item difficulty and response types revealed additional effects of treatment on naming scores beyond those observed for the standard accuracy measure. The results support theories that assume naming ability is decomposable into subabilities rather than being monolithic, suggesting new opportunities for measuring treatment outcomes.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.17019515.

摘要

目的

在衡量准确性而不是质量时,图片命名反应中的有意义变化可能会被掩盖。纳入关于损伤严重程度和性质信息的统计数据可能更能敏感地反映治疗效果。

方法

我们分析了一项命名治疗临床试验中 72 名中风失语症患者重复进行命名测试的数据。参与者被分为两组进行分析,以证明可重复性。我们评估了五位评分者对反应类型得分的可靠性。然后,我们为每个参与者得出了命名能力的四个综合统计数据及其随时间的变化:(a)标准准确性衡量标准,(b)针对项目难度调整的准确性衡量标准,(c)针对特定反应类型的项目难度调整的准确性衡量标准,以及(d)针对特定反应类型的项目难度调整的距离衡量标准。虽然准确性衡量标准涉及正确反应的可能性,但距离衡量标准反映了不同反应类型与目标的相似程度。评估了模型拟合情况。比较了治疗组和对照组之间每个综合统计数据的显著改善频率和平均改善幅度。将每个基于模型的统计数据的效应量与标准准确性衡量标准的效应量进行了比较。

结果

平均而言,评分者间和评分者内的可靠性接近完美,但在一定程度上受到了语音水平错误的影响。与其他准确性统计数据相比,使用距离衡量标准时,治疗效果在频率和幅度方面更为明显。

结论

考虑项目难度和反应类型揭示了命名分数的治疗效果,这些效果超出了标准准确性衡量标准所观察到的效果。结果支持了假设命名能力可分解为子能力而不是单一能力的理论,为衡量治疗结果提供了新的机会。

补充材料

https://doi.org/10.23641/asha.17019515.