DOI: 10.3724/SP.J.1042.2019.00181

Advances in Psychological Science (心理科学进展) 2019/27:1 PP.181-189

Alignment: A new method for multiple-group analysis

Comparing the latent factor means across groups need to test the comparability of the instrument. Researchers usually test the scalar invariance to achieve this goal but often get unsatisfactory results. The alignment is proposed under this background. It allows the comparison of the latent factor means by testing the approximate invariance of the configural model parameters and has become a significant complement to multiple-group CFA. This article gives a detailed description of the multiple-group CFA and alignment, summarizes the research procedures and points to which researchers need to pay attention when applying alignment, uses an undergraduates' work value data to illustrate how to use alignment to do a research with Mplus. In the end, this article summarizes the advantages and limitations of alignment and reviews its research developments and empirical applications.

Key words:multiple-group analysis,multiple-group CFA,measurement invariance,alignment,Monte Carlo simulation study

ReleaseDate:2019-01-28 10:22:55

蔡华俭, 林永佳, 伍秋萍, 严乐, 黄玄凤. (2008). 网络测验和纸笔测验的测量不变性研究——以生活满意度量表为例. 心理学报, 40(2), 228-239.

王孟成. (2014). 潜变量建模与Mplus应用·基础篇. 重庆大学出版社.

温聪聪, 伍伟平, 蒋玉塔. (2016). 厦门大学理工科本科生职业发展研究. 职大学报, (3), 94-99.

Asparouhov, T., & Muthén, B. (2014). Multiple-group factor analysis alignment. Structural Equation Modeling A Multidisciplinary Journal, 21(4), 495-508.

Billiet, J. (2013). Quantitative methods with survey data in comparative research. Urology, 76(76), S2-S3.

Davidov, E., Meuleman, B., Cieciuch, J., Schmidt, P., & Billiet, J. (2014). Measurement equivalence in cross-national research. Annual Review of Sociology, 40(40), 55-75.

Lomazzi, V. (2018). Using alignment optimization to test the measurement invariance of gender role attitudes in 59 countries. Methods, Data, Analyses:A Journal for Quantitative Methods and Survey Methodology (MDA), 12(1), 77-103.

Maltese, A. V., Ross, H., Wang, L., & Wang, Y. (2014). Assessing multinational interest in STEM:Implementing a comparative survey research study in China. International Journal of Chinese Education, 3(1), 109-131.

Marsh, H. W., Guo, J., Parker, P. D., Nagengast, B., Asparouhov, T., & Muthén, B., et al. (2017). What to do when scalar

invariance fails:The extended alignment method for multiple-group factor analysis comparison of latent means across many groups. Psychological Methods. Advance online publication.

Millsap, R. E. (2011). Statistical approaches to measurement invariance. New York, NY, US:Routledge/Taylor & Francis Group.

Muthén, B., & Asparouhov, T. (2014). IRT studies of many groups:the alignment method. Frontiers in Psychology, 5(5), 978.

Muthén, B., & Asparouhov, T. (2017). Recent methods for the study of measurement invariance with many groups:alignment and random effects. Sociological Methods & Research, DOI:10.1177/0049124117701488.

Munck, I., Barber, C., & Torney-Purta, J. (2017). Measurement invariance in comparing attitudes toward immigrants among youth across Europe in 1999 and 2009:The alignment method applied to IEA CIVED and ICCS. Sociological Methods & Research, DOI:10.1177/0049124117729691.

Piurko, Y., Schwartz, S. H., & Davidov, E. (2011). Basic personal values and the meaning of left-right political orientations in 20 countries. Political Psychology, 32(4), 537-561.

Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature:Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4-70.

Wang, J. C., & Wang, X. Q. (2012). Structural equation modeling:Applications using Mplus. John Wiley & Sons.

Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments:Applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention:Methodological advances from alcohol and substance abuse research (pp. 281-324). Washington, DC, US:American Psychological Association.