Learn to test for metric invariance using multi-group confirmatory factor analysis (MGCFA) in SPSS AMOS with data from the International sponsorship study (2016) /

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 confirmat...

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Bibliographic Details
Main Author:	Angell, Rob (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	SPSS (Computer file) AMOS. AMOS Factor analysis. Social service > Research. Evaluation research (Social action programs) Evidence-based social work. Factor Analysis, Statistical Analyse factorielle. Service social > Recherche. Service social factuel. Evidence-based social work Factor analysis Social service > Research
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource : illustrations
ISBN:	9781526469625 1526469626