The mixed model for multivariate repeated measures: Validity conditions and an approximate test

DOI10.1007/BF02294401zbMath0718.62110OpenAlexW2044567494MaRDI QIDQ2639505

Robert J. Boik

Publication date: 1988

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294401

zbMATH Keywords

likelihood ratio testWishart distributionmatrix quadratic formmultivariate sphericity

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Applications of statistics to psychology (62P15)

Related Items (11)

Scheffés mixed model for multivariate repeated measures:a relative efficiency evaluation ⋮ Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix ⋮ LR test for random-effects covariance structure in a parallel profile model ⋮ Wishart and chi-square distributions associated with matrix quadratic forms ⋮ Tests for a family of random-effects covariance structures in a multivariate growth curve model ⋮ Methods for high-dimensional multivariate and multi-group repeated measures data under non-normality ⋮ Basis expansion approaches for functional analysis of variance with repeated measures ⋮ A brief derivation of necessary and sufficient conditions for a family of matrix quadratic forms to have mutually independent non-central Wishart distributions ⋮ Distance-based approach in univariate longitudinal data analysis ⋮ A decomposition for a stochastic matrix with an application to MANOVA ⋮ The mle algorithm for the matrix normal distribution

Uses Software

• SPSS

Cites Work

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