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Hope and hopelessness as predictors of suicide ideation in Hungarian college students.希望与绝望作为匈牙利大学生自杀意念的预测因素
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Suicide Life Threat Behav. 2017 Dec;47(6):718-722. doi: 10.1111/sltb.12328. Epub 2017 Feb 2.
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Future-directed thinking in first-episode psychosis.首发精神病中的前瞻性思维。
Br J Clin Psychol. 2016 Jun;55(2):93-106. doi: 10.1111/bjc.12096. Epub 2015 Oct 29.
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The Mediating Role of Perceived Burdensomeness in Relations Between Domains of Cognitive Functioning and Indicators of Suicide Risk.感知负担在认知功能领域与自杀风险指标关系中的中介作用。
J Clin Psychol. 2015 Sep;71(9):908-19. doi: 10.1002/jclp.22190. Epub 2015 May 27.
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Beck Hopelessness Scale: Psychometric Properties Among Rural Chinese Suicide Attempters and Non-Attempters.贝克绝望量表:中国农村自杀未遂者和未自杀者的心理测量特性
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Meta-analysis of the association between suicidal ideation and later suicide among patients with either a schizophrenia spectrum psychosis or a mood disorder.精神分裂症谱系精神病或心境障碍患者自杀意念与后期自杀之间关联的荟萃分析。
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Future disposition and suicidal ideation: mediation by depressive symptom clusters.未来的处置方式与自杀意念:抑郁症状群的中介作用
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An examination of the relationship between anger and suicide risk through the lens of the interpersonal theory of suicide.通过自杀人际理论视角审视愤怒与自杀风险之间的关系。
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Relations between hopelessness, depressive symptoms and suicidality: mediation by reasons for living.无望感、抑郁症状与自杀意念之间的关系:生存理由的中介作用。
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未来处置问卷-24:在一大群中国大学生样本中的信度和效度估计。

The future disposition Inventory-24: reliability and validity estimates in a large sample of Chinese University students.

机构信息

Department of Epidemiology, School of Public Health, Shandong University & Shandong University Center for Suicide Prevention Research, Jinan, Shandong, China.

Department of Preventive Medicine, School of Basic Medical Sciences, Shandong University of Traditional Chinese Medicine, Changqing, Jinan, Shandong, China.

出版信息

BMC Psychiatry. 2018 Sep 17;18(1):299. doi: 10.1186/s12888-018-1875-8.

DOI:10.1186/s12888-018-1875-8
PMID:30236111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6149006/
Abstract

BACKGROUND

This study was designed to assess the factor structure, internal consistency reliability, and preliminary psychometric properties of the Chinese version of the Future Disposition Inventory-24 (FDI-24) in a large sample of Chinese university students.

METHODS

We translated the English version of the Future Disposition Inventory-24 (FDI-24) into Chinese and examined its factor structure, estimates of internal consistency reliability, and psychometric properties in a representative sample of university students. In particular, students (N = 2,074) from two universities in Shandong Province in China were identified using the multi-stage stratified sampling method. In addition to the FDI-24, we collected preliminary data using self-report instruments that included the Beck Hopelessness Scale (BHS) and a general sociodemographic information questionnaire.

RESULTS

The results of the internal consistency reliability estimates were adequate regarding the scores on the three FDI-24 subscales: Cronbach's alpha = .89-.97, Omega total = .85-.96, Revelle's Omega total = .88-.96, the greatest lower bound (GLB) = .89-.96 and Coefficient H = .86-.94. Bivariate correlation analyses showed evidence for criterion and discriminant validity. The 3-factor oblique-Geomin-rotation solution accounted for 62.92% of the total variance in the exploratory factor analysis (EFA). The exploratory structural equation modeling (ESEM) result showed that the 3-factor model provided adequate fit statistics for the sample data: the robust comparative fit index (R-CFI) was .959, robust Tucker Lewis index (R-TLI) was .946 and robust root mean square error of approximation (R-RMSEA) was .090.

CONCLUSION

The FDI-24 has a satisfactory factor structure, reliability estimates, and satisfactory evidence of concurrent validity estimates for students with different demographic and cultural backgrounds. The FDI-24 holds promise for use in future investigations with Chinese students.

摘要

背景

本研究旨在评估未来处置量表中文版(FDI-24)在中国大学生大样本中的结构因素、内部一致性信度和初步心理测量特性。

方法

我们将未来处置量表英文版(FDI-24)翻译成中文,并采用多阶段分层抽样方法,对两所山东高校的大学生代表样本进行了结构因素分析、内部一致性信度估计和心理测量特性评估。除了 FDI-24 之外,我们还使用贝克绝望量表(BHS)和一般社会人口学信息问卷等自评量表收集了初步数据。

结果

FDI-24 的三个分量表的内部一致性信度估计值都很理想:克朗巴赫 α系数为 0.89-0.97,Omega 总系数为 0.85-0.96,Revelle 的 Omega 总系数为 0.88-0.96,最大下限(GLB)为 0.89-0.96,Cohen H 系数为 0.86-0.94。双变量相关分析表明该量表具有效标关联和区分效度。探索性因素分析(EFA)中,三因素斜交-Geomin 旋转解可以解释 62.92%的总方差。探索性结构方程模型(ESEM)的结果表明,三因素模型为样本数据提供了适当的拟合统计量:稳健比较拟合指数(R-CFI)为 0.959,稳健 Tucker Lewis 指数(R-TLI)为 0.946,稳健平方根均方误差逼近值(R-RMSEA)为 0.090。

结论

FDI-24 具有满意的结构因素、信度估计值,以及与不同人口统计学和文化背景的学生的同时效度估计值的良好证据。FDI-24 有望在中国学生的未来研究中得到应用。