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人际支持评估量表的验证性因素分析。

Confirmatory factor analysis of the Interpersonal Support Evaluation List.

作者信息

Brookings J B, Bolton B

机构信息

Psychology Department, Wittenberg University, Springfield, Ohio 45501.

出版信息

Am J Community Psychol. 1988 Feb;16(1):137-47. doi: 10.1007/BF00906076.

DOI:10.1007/BF00906076
PMID:3369379
Abstract

Cohen and Hoberman (1983) designed the Interpersonal Support Evaluation List (ISEL) to measure the perceived availability of four relatively independent social support resources and thus to provide tests of stress-buffering hypotheses. The utility of the ISEL for such tests requires evidence that it actually measures distinct functional support dimensions. A confirmatory factor analysis of the ISEL for 133 college students showed that a four-factor model provided a reasonable fit to the data, but the large correlations among the four factors were strongly suggestive of a general, second-order social support factor. However, scoring the ISEL as a unidimensional measure only would result in the loss of unique information contained in the four subscales. Researchers should therefore follow Cohen and Hoberman's procedure of analyzing ISEL subscale scores and the total score.

摘要

科恩和霍伯曼(1983年)设计了人际支持评估量表(ISEL),以衡量四种相对独立的社会支持资源的可感知可用性,从而对压力缓冲假设进行检验。ISEL在此类检验中的效用需要有证据表明它确实能衡量不同的功能性支持维度。对133名大学生的ISEL进行的验证性因素分析表明,四因素模型与数据拟合度较好,但四个因素之间的高相关性强烈暗示存在一个一般的二阶社会支持因素。然而,仅将ISEL作为单维测量进行计分,会导致四个子量表中包含的独特信息丢失。因此,研究人员应遵循科恩和霍伯曼分析ISEL子量表分数和总分的程序。

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