同余(几何)
相似性(几何)
心理学
测量不变性
结构方程建模
感知
社会心理学
认知心理学
统计
人工智能
计算机科学
验证性因素分析
数学
图像(数学)
神经科学
作者
Semira Tagliabue,Michela Zambelli,Angela Sorgente,Sabrina Sommer,Christian Hoellger,Heike M. Buhl,Margherita Lanz
标识
DOI:10.3389/fpsyg.2021.672383
摘要
Several methods are available to answer questions regarding similarity and accuracy, each of which has specific properties and limitations. This study focuses on the Latent Congruence Model (LCM; Cheung, 2009 ), because of its capacity to deal with cross-informant measurement invariance issues. Until now, no cross-national applications of LCM are present in the literature, perhaps because of the difficulty to deal with both cross-national and cross-informant measurement issues implied by those models. This study presents a step-by-step procedure to apply LCM to dyadic cross-national research designs controlling for both cross-national and cross-informant measurement invariance. An illustrative example on parent–child support exchanges in Italy and Germany is provided. Findings help to show the different possible scenarios of partial invariance, and a discussion related to how to deal with those scenarios is provided. Future perspectives in the study of parent–child similarity and accuracy in cross-national research will be discussed.
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