Comparing latent means without mean structure models: a projection-based approach

DOI10.1007/s11336-015-9491-8zbMath1345.62145OpenAlexW2211928898WikidataQ40217384 ScholiaQ40217384MaRDI QIDQ316731

Lifang Deng, Ke-Hai Yuan

Publication date: 27 September 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9491-8

zbMATH Keywords

bootstrapWald statisticmeasurement invariancechi-square-difference statisticcommon scorespecific factor

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Uses Software

• EQS

Cites Work

• Projection matrices, generalized inverse matrices, and singular value decomposition.
• Bootstrap tests and confidence regions for functions of a covariance matrix
• Measurement invariance, factor analysis and factorial invariance
• Structural equation modeling with heavy tailed distributions
• Comment on the asymptotics of a distribution-free goodness of fit test statistic
• Continuous orthogonal complement functions and distribution-free goodness of fit tests in moment structure analysis
• Simultaneous factor analysis in several populations
• Multiple population covariance structure analysis under arbitrary distribution theory
• Testing hypotheses about covariance matrices using bootstrap methods
• A GENERAL METHOD FOR STUDYING DIFFERENCES IN FACTOR MEANS AND FACTOR STRUCTURE BETWEEN GROUPS
• Asymptotically distribution‐free methods for the analysis of covariance structures
• Measures of multivariate skewness and kurtosis with applications
• Three Approximate Solutions to the Multivariate Behrens–Fisher Problem
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
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