Estimation for the multiple factor model when data are missing
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Summary
The present method shows some advantage in accuracy of estimation over the heuristic methods but is considerably more costly computationally.
- Type
- article
- Published
- 1979-12-01
- Cited by
- 169
- References
- 21
- OpenAlex
- https://openalex.org/W1979967650
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120800326
Keywords
Heuristic, Monte Carlo method, Missing data, Maximum likelihood, Computer science
References
- A comparison of factor analytic techniques
- Analyzing psychological data by structural analysis of covariance matrices
- Statistical Inference in Factor Analysis
- A Note on the Generation of Random Normal Deviates
- A proposal for handling missing data
- Factor analysis by generalized least squares
- INFERENCE AND MISSING DATA
- The distribution of chance congruence coefficients from simulated data
- Missing Observations in Multivariate Statistics I. Review of the Literature
- Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples
- Alternative weighting schemes for linear prediction
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Asymptotic Properties of Maximum Likelihood Estimators for the Independent Not Identically Distributed Case
- A COMPUTER PROGRAM FOR MINIMIZING A FUNCTION OF SEVERAL VARIABLES1
- Evaluation of factor analytic research procedures by means of simulated correlation matrices
- Factor Analysis as a Statistical Method.
- A Pseudo-Random Number Generator for the System/360
- Estimation for the Multiple Common Factor Model When Data Are Missing
- A Biometrics Invited Paper. Factor Analysis: An Introduction to Essentials I. The Purpose and Underlying Models
- Multiple-Factor Analysis
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- Bibliography of Multivariate Procedures for Unbalanced Data
- Usable Web 2.0 privacy management and medical imaging search: an ontology-based approach
- Principal Ownership of an Instructional Initiative: Advancing a Conceptual Framework for the Study of Leadership
- Prognostic factors for epilepsy
- Inference in structural equation models with missing data
- Estimation of Missing Values by Predicted Scores.
- Identifying attitudinal factors related to ideation in creative problem solving
- A Mixed-Methods Examination of Racial Differences in Females' Perceptions and Experiences of Sexual Objectification
- Microstructural White Matter Properties Mediate the Association between APOE and Perceptual Speed in Very Old Persons without Dementia
- A Limited Dependent Variable Model for Heritability Estimation with Non-Random Ascertained Samples
- Essays on the role of internationalization on the R and D activities
- Development of weighted model fit indexes for structural equation models using multiple imputation
- A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Nonnormal Data
- Stepped care versus face-to-face cognitive behavior therapy for panic disorder and social anxiety disorder: Predictors and moderators of outcome.
- Asymptotic comparison of missing data procedures for estimating factor loadings
- Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data
- Factor analysis of multidimensional polytomous item response data suffering from ignorable item nonresponse.
- Development of achievement goals across the transition out of secondary school
- The Val/Met polymorphism of the brain-derived neurotrophic factor (BDNF) gene predicts decline in perceptual speed in older adults.
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