Skip to main content

Learn to Test for Metric Invariance Using Multi-Group Confirmatory Factor Analysis (MGCFA) in SPSS AMOS With Data From the International Sponsorship Study (2016)

By: Published: 2019 | Product: SAGE Research Methods Datasets Part 2

This dataset is designed for learning about Multi-Group Confirmatory Factor Analysis (MGCFA) using the AMOS software package. The dataset is a subset derived from the 2016 International Sponsorship Study (ISS 2016) conducted by researchers at Cardiff University. The example builds upon the confirmatory factor analysis (CFA) dataset in which a baseline CFA model for animosity and ethnocentrism was specified, tested, and validated. Here, we continue to establish whether any observed heterogeneity exists in the factorial structure of both latent variables attributable to gender (male vs. female). An invariance testing protocol is followed in testing for this. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for AMOS.

Data Type:
Software Guide:
+- LessMore information

You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

Looks like you do not have access to this content.

Methods Map

Confirmatory factor analysis

Please log in from an authenticated institution or log into your member profile to access the email feature.

Embed code:
Link to this page directly with a permalink:
Preview example:

Copy and paste the following HTML into your website