使用结构方程模型的癌症关注单项目维度

IF 0.5 Q4 PSYCHOLOGY, MULTIDISCIPLINARY
T. Caycho-Rodríguez, S. Dominguez-Lara, Martín Noé-Grijalva, M. Reyes-Bossio
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引用次数: 2

摘要

本研究旨在通过结构方程(SEM)的方法,分析潜在变量癌症担忧(PPC)对单项癌症担忧图(CWC)测量的影响。165名有癌症家族史的健康成人参与了这项研究(年龄= 40.25岁;SD = 12.99),在秘鲁卫生机构的门诊就诊。CWC在表达对癌症不太关注的应答中占主导地位(M = 2.27;Sd = .98)。SEM的使用报告了模型非常好的调整率(SB-χ2 = .0051;Gl = 1;P = .943;Cfi = 1.00;Rmsea [ic90%] = .00[。]00, .04点);SRMR = .007),因子负荷为。949,共同性为。90。PPC结构解释了CWC分数90%的可变性。这一发现为CWC构念效度提供了补充证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dimensionalidad de un ítem único de preocupación por el cáncer mediante modelos de ecuaciones estructurales
The study aims to analyze the influence of the latent variable cancer concern (PPC) on the measurement of the single item Cancer Worry Chart (CWC) through the method of structural equations (SEM). 165 healthy adults with a family history of cancer participated (Mage = 40.25 years; SD = 12.99), who attended the outpatient clinic of health institutions in Peru. The CWC has a predominance of responses that express less concern about cancer (M = 2.27; SD = .98). The use of SEM reports very good adjustment rates for the model (SB-χ2 = .0051; gl = 1; p = .943; CFI = 1.00; RMSEA [IC90%] = .00 [.00, .04]; SRMR = .007), with a factor load of .949 and communality of .90. The PPC construct explains 90% of the variability of the CWC scores. This finding provides complementary evidence of CWC construct validity.
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来源期刊
Revista Argentina de Ciencias del Comportamiento
Revista Argentina de Ciencias del Comportamiento PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
32 weeks
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