验证性因素分析
探索性因素分析
医学
长期护理
可靠性(半导体)
度量(数据仓库)
心理测量学
结构方程建模
慢性病
物理疗法
临床心理学
心理学
家庭医学
数据挖掘
计算机科学
机器学习
功率(物理)
物理
量子力学
作者
Cristian Gugiu,Chris L. S. Coryn,Brooks Applegate
标识
DOI:10.1111/j.1365-2753.2009.01151.x
摘要
Abstract Objective In this study, the authors investigated the psychometric properties of a modified version of the Patient Assessment of Chronic Illness Care (PACIC) – a self‐report instrument designed to measure the extent to which patients with chronic illness receive care congruent with the chronic care model. Research design and method Five hundred and twenty‐nine (529) type 2 diabetics were surveyed with a modified‐PACIC. Results An exploratory and confirmatory factor analysis was conducted that accounted for the ordinal nature of the PACIC items. Ordinal alpha (0.972) and omega (0.973) reliability coefficients were calculated on the latent factor underlying the modified‐PACIC. Correlation analyses were used to investigate the relationship between the modified‐PACIC and numerous clinical labs related to diabetes. Validity for the original five‐factor structure proposed by developers of the PACIC could not be confirmed. Conclusions More research focusing on the instrument's psychometric properties is necessary before researchers use it to investigate the chronic care model and patient health. Researchers will need to ensure that the composite scores underlying the instrument are normally distributed and correlated with behavioural and health indexes.
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