Suppr超能文献

《康纳斯成人注意力缺陷多动障碍评定量表(筛查版)》中漏答估计的评估

Evaluation of estimating missed answers in conners adult ADHD rating scale (screening version).

作者信息

Ghassemi Farnaz, Moradi Mohammad Hassan, Tehrani-Doost Mehdi, Abootalebi Vahid

机构信息

Biomedical Department, Amirkabir University of Technology, Tehran, Iran.

出版信息

Iran J Psychiatry. 2010 Summer;5(3):108-12.

Abstract

OBJECTIVE

Conners Adult ADHD Rating Scale (CAARS) is among the valid questionnaires for evaluating Attention-Deficit/Hyperactivity Disorder in adults. The aim of this paper is to evaluate the validity of the estimation of missed answers in scoring the screening version of the Conners questionnaire, and to extract its principal components.

METHOD

This study was performed on 400 participants. Answer estimation was calculated for each question (assuming the answer was missed), and then a Kruskal-Wallis test was performed to evaluate the difference between the original answer and its estimation. In the next step, principal components of the questionnaire were extracted by means of Principal Component Analysis (PCA). Finally the evaluation of differences in the whole groups was provided using the Multiple Comparison Procedure (MCP).

RESULTS

Findings indicated that a significant difference existed between the original and estimated answers for some particular questions. However, the results of MCP showed that this estimation, when evaluated in the whole group, did not show a significant difference with the original value in neither of the questionnaire subscales. The results of PCA revealed that there are eight principal components in the CAARS questionnaire.

CONCLUSION

The obtained results can emphasize the fact that this questionnaire is mainly designed for screening purposes, and this estimation does not change the results of groups when a question is missed randomly. Notwithstanding this finding, more considerations should be paid when the missed question is a critical one.

摘要

目的

康纳斯成人注意力缺陷多动障碍评定量表(CAARS)是评估成人注意力缺陷/多动障碍的有效问卷之一。本文旨在评估在对康纳斯问卷筛查版评分时对漏答答案估计的有效性,并提取其主成分。

方法

本研究对400名参与者进行。计算每个问题的答案估计值(假设答案漏答),然后进行Kruskal-Wallis检验以评估原始答案与其估计值之间的差异。下一步,通过主成分分析(PCA)提取问卷的主成分。最后使用多重比较程序(MCP)对整个组的差异进行评估。

结果

研究结果表明,某些特定问题的原始答案与估计答案之间存在显著差异。然而,MCP的结果表明,在整个组中进行评估时,这种估计在问卷的任何一个子量表中与原始值均未显示出显著差异。PCA的结果显示,CAARS问卷中有八个主成分。

结论

所得结果可以强调这样一个事实,即该问卷主要用于筛查目的,当一个问题被随机漏答时,这种估计不会改变组的结果。尽管有这一发现,但当漏答的问题很关键时,仍应多加考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16f6/3430501/cb5c4afa3f1c/IJPS-5-108-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验