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本文引用的文献

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Building theories on top of, and not independent of, statistical models: The case of the -factor.基于统计模型而非独立于统计模型构建理论:以 - 因素为例。
Psychol Inq. 2020;31(4):310-320. doi: 10.1080/1047840x.2020.1853476. Epub 2021 Jan 7.
2
How to Compare Psychometric Factor and Network Models.如何比较心理测量因子模型和网络模型。
J Intell. 2020 Oct 2;8(4):35. doi: 10.3390/jintelligence8040035.
3
Mobile enhancement of motivation in schizophrenia: A pilot randomized controlled trial of a personalized text message intervention for motivation deficits.精神分裂症的动机增强移动干预:动机缺陷的个性化短信干预的试点随机对照试验。
J Consult Clin Psychol. 2020 Oct;88(10):923-936. doi: 10.1037/ccp0000599. Epub 2020 Aug 13.
4
Appropriate Use of Bifactor Analysis in Psychopathology Research: Appreciating Benefits and Limitations.双因素分析在精神病理学研究中的恰当运用:认识其优势与局限。
Biol Psychiatry. 2020 Jul 1;88(1):18-27. doi: 10.1016/j.biopsych.2020.01.013. Epub 2020 Jan 28.
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What Do People With Schizophrenia Do All Day? Ecological Momentary Assessment of Real-World Functioning in Schizophrenia.精神分裂症患者整天做什么?精神分裂症现实世界功能的生态瞬时评估。
Schizophr Bull. 2020 Feb 26;46(2):242-251. doi: 10.1093/schbul/sbz070.
6
Are fit indices used to test psychopathology structure biased? A simulation study.拟合指数是否用于检验偏向精神病理学结构?一项模拟研究。
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7
The Bifactor Model Fits Better Than the Higher-Order Model in More Than 90% of Comparisons for Mental Abilities Test Batteries.在超过90%的心理能力测试组合比较中,双因素模型比高阶模型拟合得更好。
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Bifactor and Hierarchical Models: Specification, Inference, and Interpretation.双因子和层次模型:规范、推断和解释。
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9
Prospective Relationships Between Motivation and Functioning in Recovery After a First Episode of Schizophrenia.首发精神分裂症后康复过程中的动机与功能的前瞻性关系。
Schizophr Bull. 2018 Feb 15;44(2):369-377. doi: 10.1093/schbul/sbx096.
10
Estimating psychological networks and their accuracy: A tutorial paper.估计心理网络及其准确性:教程论文。
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动机在心理社会功能中的核心地位:首发精神病患者生活质量量表的网络和双因素分析。

The centrality of motivation in psychosocial functioning: Network and bifactor analysis of the Quality of Life Scale in first-episode psychosis.

机构信息

Sargent College of Health and Rehabilitation Sciences.

Department of Psychological and Brain Sciences.

出版信息

Psychol Assess. 2022 Mar;34(3):205-216. doi: 10.1037/pas0001080. Epub 2021 Nov 29.

DOI:10.1037/pas0001080
PMID:34843281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10066933/
Abstract

Psychosocial functioning impairment is prevalent in first-episode psychosis and chronic schizophrenia. The Quality of Life Scale (QLS) is a widely used tool to measure psychosocial functioning; however, given the overlap between negative symptoms and functioning, along with the QLS being conceptualized initially as a measure of the deficit syndrome, it is unclear whether summing QLS items into a total score is an appropriate measure of overall psychosocial functioning. This study aimed to examine the centrality of QLS items and the appropriateness of using a QLS total score. Participants with first-episode psychosis ( = 404) completed the QLS. Item centrality was assessed using a network analysis approach, while reliability and dimensionality of the QLS total score and subscales were measured using bifactor modeling and related psychometric indices. Network analysis results showed that an item relating to motivation was the most central item within the scale. Moreover, bifactor modeling results found that motivation and other items relating to negative symptoms may reflect the QLS total score more strongly than other functioning (i.e., Interpersonal, Instrumental) domains. Based on these findings, we urge researchers to use caution when using a QLS total score, as it may unequally confound functional domains and motivation. Moreover, our results continue to underscore the importance of negative symptoms, particularly motivational impairment, in psychosocial functioning. Future studies should aim to examine the centrality of other functioning measures in psychosis and schizophrenia, as our results suggest that psychosocial functioning may be greatly influenced by motivation. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

心理社会功能障碍在首发精神病和慢性精神分裂症中较为普遍。生活质量量表(QLS)是一种广泛用于测量心理社会功能的工具;然而,鉴于负性症状和功能之间存在重叠,以及 QLS 最初被概念化为缺陷综合征的测量工具,因此,将 QLS 项目汇总为总分是否是心理社会功能的总体测量方法尚不清楚。本研究旨在检验 QLS 项目的中心性以及使用 QLS 总分的适当性。首发精神病患者(n=404)完成了 QLS。使用网络分析方法评估项目中心性,同时使用双因素模型和相关心理测量指标测量 QLS 总分和分量表的可靠性和维度。网络分析结果表明,与动机相关的项目是该量表中最中心的项目。此外,双因素模型结果发现,动机和其他与负性症状相关的项目可能比其他功能(即人际关系、工具性)领域更强烈地反映 QLS 总分。基于这些发现,我们敦促研究人员在使用 QLS 总分时要谨慎,因为它可能会以不平等的方式混淆功能领域和动机。此外,我们的研究结果继续强调了负性症状的重要性,特别是动机障碍,在心理社会功能中的重要性。未来的研究应该旨在检验其他精神病和精神分裂症中功能测量的中心性,因为我们的结果表明,心理社会功能可能会受到动机的极大影响。