On the identifiability of parameters in Thurstone's multiple factor analysis

DOI10.1007/BF02289197zbMath0037.36901OpenAlexW2081711809WikidataQ80734363 ScholiaQ80734363MaRDI QIDQ2648547

O. Reiersøl

Publication date: 1950

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02289197

zbMATH Keywords

Statistics

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items (16)

Linking item response model parameters ⋮ On the validity of the indeterminate latent variables in the lisrel model ⋮ Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification ⋮ A note on identifiability conditions in confirmatory factor analysis ⋮ Le rang d'une matrice carree se promene pas à pas avec la diagonale ⋮ Einige Grundprobleme der Faktorenanalyse ⋮ A definition for the common-factor analysis model and the elimination of problems of factor score indeterminacy ⋮ Simultaneous statistical inference in dynamic factor models: chi-square approximation and model-based bootstrap ⋮ Parameterization of Multivariate Random Effects Models for Categorical Data ⋮ Testing a simple structure hypothesis in factor analysis ⋮ Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters ⋮ Econometrics and psychometrics: A survey of communalities ⋮ Efficient estimation and local identification in latent class analysis ⋮ Identifiability of a class of theories with states not directly observed over trials ⋮ Identification of the linear factor model ⋮ Dimensions of Well-Being and Their Statistical Measurements

Cites Work

• Unnamed Item
• The Resolution of Tests into Two General Factors
• The Resolution of Six Tests into Three General Factors
• The Identification of Structural Characteristics
• The Matrices of Factor Analysis
• The Minimum Rank of a Correlation Matrix
• The Probability Approach in Econometrics
• Confluence Analysis by Means of Lag Moments and Other Methods of Confluence Analysis

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