This study aims to examine one of the key contextual constructs measured in ILSAs, socioeconomic status, within a single national context. Using PISA data from Sweden, this study investigates whether the items used to indicate socioeconomic status can be used to create a construct of socioeconomic status that is applicable to multiple cycles of PISA data in Sweden. MI testing of the 2000 CFA solution across all PISA cycles demonstrates invariance at the metric level. Once the alignment optimization method was applied to the measurement model, the solution fell within the thresholds for acceptable measurement non-invariance. Therefore, this study posits that items retained in the PISA questionnaire since 2000 can be used to tailor a model of SES for Sweden.

这项研究的目的是在一个国家范围内研究以ILSA为衡量标准的关键语境结构之一，即社会经济地位。使用瑞典的PISA数据，本研究调查了用于指示社会经济地位的项目是否可用于创建适用于瑞典多个PISA数据周期的社会经济地位构造。在所有PISA周期中对2000 CFA解决方案的MI测试表明，公制级别具有不变性。将比对优化方法应用于测量模型后，解决方案将落入可接受的测量不变性的阈值之内。因此，本研究假设自2000年以来保留在PISA问卷中的项目可用于为瑞典定制SES模型。