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首页> 外文期刊>Psycho-Oncology: Journal of the Psychological Social and Behavioral Dimensions of Cancer >Rasch analysis of positive changes following adversity in cancer patients attending community support groups.
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Rasch analysis of positive changes following adversity in cancer patients attending community support groups.

机译:Rasch分析了参加社区支持小组的癌症患者患病后的积极变化。

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摘要

OBJECTIVE: This study assessed the 38-item Perceived Benefits Scale (PBS) by examining whether the items constructed a single latent trait and formed an interval scale. This would justify its use to measure the advantages of benefit-finding brought to patients with different cancers from participation in community-based cancer support groups. METHODS: A total of 300 patients were randomly recruited from a 1300-bed medical centre in Taiwan. The Rasch rating scale model was used to examine the model-data fit. Differential item functioning (DIF) analysis was conducted to verify construct equivalence across groups. Comparisons were made among demographic characteristics for various types of patient support groups. RESULTS: Of the 38 items on the PBS, 28 were applicable to cancer patients and were divided into two distinct unidimensional domains; both met the Rasch model's expectation to constitute a single construct. DIF was found between types of cancer patients, but not between genders. Positive changes following adversity were statistically significantly associated with and ascribed to the duration of patient attendance in community-based cancer support groups. CONCLUSION: The two domains verified by Rasch analysis can be used through Rasch-transformed measures to make further statistical inference when comparing positive changes following adversity within and between cancer groups. The psychometric properties of the PBS verified by Rasch modeling fit to the unidimensionality, but need a huge sample size to support its validity and reliability in future studies. Nonetheless, we should be cautious to make comparisons among types of cancer patients due to DIF exhibited in scale.
机译:目的:本研究通过检查38个项目的感知利益量表(PBS)是否构成了单个潜在特征并形成了间隔量表,从而对其进行了评估。这将证明其可用于衡量通过参加基于社区的癌症支持团体而为患有不同癌症的患者带来的利益发现优势。方法:从台湾一家拥有1300张床位的医疗中心随机招募了300名患者。 Rasch评定量表模型用于检查模型数据拟合。进行了差异项功能(DIF)分析,以验证各组之间的构建体等效性。比较了各种类型的患者支持组的人口统计学特征。结果:PBS上的38项内容中,有28项适用于癌症患者,并分为两个不同的一维区域。两者都满足了Rasch模型的期望,可以构成一个单一的结构。在癌症患者类型之间发现了DIF,但在性别之间没有发现。逆境后的积极变化在统计学上与基于社区的癌症支持组患者就诊的持续时间显着相关,并归因于此。结论:当比较癌症组内和组之间逆境后的积极变化时,可以通过Rasch转换的方法使用经Rasch分析验证的两个域进行进一步的统计推断。通过Rasch建模验证的PBS的心理测量特性适合一维性,但需要巨大的样本量才能支持其有效性和可靠性,以备将来研究之用。尽管如此,由于按比例显示的DIF,我们应该谨慎比较癌症患者的类型。

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