Dimensionalidad de un Test de Conducta Prosocial

S. Auné, H. Attorresi
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引用次数: 8

Abstract

Prosocial behavior is regarded as positive social conduct with or without altruistic motivation. The realization of this type of behavior boosts self-esteem and contributes to the construction of support networks. The aim of this study was to analyze the dimensionality of the Prosocial Behavior Scale (ECP) by Aune, Abal, and Attorresi, comprising 28 items. An accidental sample of 692 individuals who responded to the ECP was selected from Gran Buenos Aires and Argentine provinces. Twenty-five cases were disregarded, as they were considered anomalous according to Mahalanobis distance. The study was carried out using Exploratory Factor Analysis based on a polychoric correlation matrix with promax rotation. Parallel Analysis procedure was chosen to determine the number of factors, which was estimated by the method of non-weighted least squares. A model of 15 items and two factors achieved adequate fit indices (GFI = .99, RMSR = .0384), accounting for 50.61% of the variance. These results are consistent with the literature, since items related to comfort were grouped by one of the factors, while items involving aid were grouped by the second factor analyzed.
亲社会行为测试的维度
亲社会行为被认为是具有或不具有利他动机的积极社会行为。这种行为的实现增强了自尊,有助于建立支持网络。本研究的目的是分析Aune、Abal和Attorresi编制的亲社会行为量表(ECP)的维度,该量表包含28个项目。从大布宜诺斯艾利斯和阿根廷各省随机抽取692名对ECP有反应的个体作为样本。25例被忽略,因为它们被认为是根据马氏距离异常。本研究采用探索性因子分析方法,基于带最大旋转的多时变相关矩阵。采用平行分析法确定因子数量,采用非加权最小二乘法估计因子数量。15项2因子模型的拟合指标较好(GFI = 0.99, RMSR = 0.0384),占方差的50.61%。这些结果与文献一致,因为与舒适相关的项目按其中一个因素分组,而涉及援助的项目按第二个分析因素分组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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