Sayans-Jiménez Pablo, Cuadrado Isabel, Rojas Antonio J, Barrada Juan R
Department of Psychology, Faculty of Psychology, University of Almería, Almería, Spain.
Center for the Study of Migration and Intercultural Relations, University of Almería, Almería, Spain.
Front Psychol. 2017 Oct 4;8:1692. doi: 10.3389/fpsyg.2017.01692. eCollection 2017.
Stereotype dimensions-competence, morality and sociability-are fundamental to studying the perception of other groups. These dimensions have shown moderate/high positive correlations with each other that do not reflect the theoretical expectations. The explanation for this (e.g., halo effect) undervalues the utility of the shared variance identified. In contrast, in this work we propose that this common variance could represent the global evaluation of the perceived group. Bi-factor models are proposed to improve the internal structure and to take advantage of the information representing the shared variance among dimensions. Bi-factor models were compared with first order models and other alternative models in three large samples (300-309 participants). The relationships among the global and specific bi-factor dimensions with a global evaluation dimension (measured through a semantic differential) were estimated. The results support the use of bi-factor models rather than first order models (and other alternative models). Bi-factor models also show a greater utility to directly and more easily explore the stereotype content including its evaluative content.
刻板印象维度——能力、道德和社交性——是研究对其他群体认知的基础。这些维度之间呈现出中度/高度的正相关，这与理论预期不符。对此的解释（如光环效应）低估了所识别出的共同方差的效用。相比之下，在本研究中我们提出，这种共同方差可能代表了对被感知群体的整体评价。我们提出了双因素模型来改善内部结构，并利用代表维度间共同方差的信息。在三个大样本（300 - 309名参与者）中，将双因素模型与一阶模型及其他替代模型进行了比较。估计了全局和特定双因素维度与一个全局评价维度（通过语义差异测量）之间的关系。结果支持使用双因素模型而非一阶模型（及其他替代模型）。双因素模型在直接且更轻松地探索刻板印象内容（包括其评价性内容）方面也显示出更大的效用。
