心理学
验证性因素分析
差异(会计)
多级模型
背景(考古学)
因子分析
凝聚力(化学)
索引(排版)
透视图(图形)
因子(编程语言)
嵌套集模型
社会心理学
统计
结构方程建模
计算机科学
数据挖掘
数学
人工智能
地理
关系数据库
程序设计语言
化学
有机化学
考古
业务
万维网
会计
作者
Davide Margola,Valentina Fenaroli,Angela Sorgente,Margherita Lanz,Giulio Costa
出处
期刊:European Journal of Psychological Assessment
[Hogrefe Verlag]
日期:2017-08-01
卷期号:35 (3): 335-345
被引量:14
标识
DOI:10.1027/1015-5759/a000427
摘要
Abstract. Factor analysis of nested data is a challenge for researchers when they need to accurately identify the most appropriate latent configuration of self-report instruments. The present study used a multilevel framework to evaluate the factor structure underlying the 12-item three-factor Family Relationships Index (FRI), while adapting this instrument to the Italian context. By way of separating the two sources of variance (within and between families), results from 231 family members nested in 77 family triads supported a three-factor model (i.e., family cohesion, communication, and conflict resolution). Multilevel confirmatory factor analysis (MCFA) corroborated this model at the family level in particular. A one-factor model was also tested but resulted in being less suitable at both the individual (within) and family (between) level of analysis. Finally, we consider challenges in using such statistical techniques, while taking into account the FRI’s briefness and easiness to complete and score it in a practice-oriented assessment perspective.
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