Component analysis in cross-sectional and longitudinal data

DOI10.1007/BF02294198zbMath0718.62133OpenAlexW2030226961MaRDI QIDQ2639522

William Meredith, Roger E. Millsap

Publication date: 1988

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294198

zbMATH Keywords

invariancestationaritycross-sectional datathree-mode factor analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Linear regression; mixed models (62J05)

Related Items (7)

A user-oriented overview of multiway methods and software ⋮ The Harris-Kaiser independent cluster rotation as a method for rotation to simple component weights ⋮ Maximization of sums of quotients of quadratic forms and some generalizations ⋮ Representation, synthesis, variability and data preprocessing of a three-way data set ⋮ An extended redundancy analysis and its applications to two practical examples ⋮ The SIMCLAS model: simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks ⋮ Generalized joint Procrustes analysis

Uses Software

• IMSL Numerical Libraries

Cites Work

• Unnamed Item
• On component analyses
• Image theory for the structure of quantitative variates
• Quadratic Forms and Idempotent Matrices with Random Elements
• Linear Statistical Inference and its Applications

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