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Open AccessJournal ArticleDOI

Acovsm: a general computer program for analysis of covariance structures including generalized manova1

Karl G. Jöreskog, +2 more
- 01 Jun 1971 - 
- Vol. 1971, Iss: 1
TLDR
Joreskog's ACOVSM as mentioned in this paper is a general computer program for analysis of covariance structures including Generalized MANOVA, which is capable of handling most standard statistical models as well as many nonstandard and complicated ones.
Abstract
Joreskog, Karl G.; And Others ACOVSM: A General Computer Program for Analysis of Covariance Structures Including Generalized MANOVA. Educational Testing Service, Princeton, N.J. RB-71-1 Jan 71 69p. EDRS Price ME-$0.65 HC-$3.29 *Analysis of Covariance, *Analysis of Variance, *Computer Programs, Mathematics, *Models, Multiple Regression Analysis, Statistical Analysis, *Statistics Joreskog's general method for analysis of covariance structures was developed for estimating a model involving structures of a very general form on means, variances, and covariances of multivariate observations. This method achieves a great deal of generality and flexibility, in that it is capable of handling most standard statistical models as well as many nonstandard and complicated ones. This paper describes a computer program for the method. When the variance-covariance matrix of the observed variables is unconstrained, the method may be used to estimate location parameters and to test linear hypotheses about them. For example, the program may be used to handle such standard problems as multivariate regression, ANOVA, and MANOVA. A unique feature of the method is that it can also be used when the variance-covariance matrix is constrained tc be of a certain form. Various other models involving correlated errors or errors of measurement can also be handled. An illustration of how input data is set up, and what the printout looks like for two small sets of data, are included. (Author/CK)

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Citations
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Journal ArticleDOI

Intraclass Reliability Estimates: Testing Structural Assumptions

TL;DR: In this paper, Joreskog's general model for the analysis of covariance structures is used to test the validity of the assumption that correlation reliablity estimates are equivalent.
Journal ArticleDOI

Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable

TL;DR: In this paper, the authors consider a model in which one observes multiple indicators and multiple causes of a single latent variable and derive the maximum-likelihood estimators and their asymptotic variance-covariance matrix.
Book ChapterDOI

2 Multivariate analysis of variance of repeated measurements

TL;DR: In this article, a multivariate analysis of variance (MANOVA) approach is employed to analyze repeated measurement designs utilizing the multivariate general linear model and the testing of linear hypotheses using p-dimensional vector observations.
Journal ArticleDOI

Estimation and Hypothesis Testing in Linear Models Containing Measurement Error A Review of Joreskog's Model for the Analysis of Covariance Structures

TL;DR: A review of Joreskog's model for the analysis of covariance structures by first introducing the simpler case of confirmatory factor analysis is presented in this article. The mathematical results necessary for estimation and hypothesis testing are presented in a way which should be more accessible to sociologists than the original sources.
Journal ArticleDOI

Consumer perceptions on product carbon footprints and carbon labels of beverage merchandise in Hong Kong

TL;DR: In this paper, the authors derived the carbon footprint of beverage products and analyzed consumer behavior towards carbon labels and found that green advocates in the male group have comparatively more significant influences on the acceptance of low carbon emission products than the consumers in the female group.
References
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Journal ArticleDOI

A Rapidly Convergent Descent Method for Minimization

TL;DR: A number of theorems are proved to show that it always converges and that it converges rapidly, and this method has been used to solve a system of one hundred non-linear simultaneous equations.
Journal ArticleDOI

Statistical analysis of sets of congeneric tests

Karl G. Jöreskog
- 01 Jun 1971 - 
TL;DR: In this article, various models for sets of congeneric tests are considered, including models appropriate for the analysis of multitrait-multimethod data, and the special cases when two or more tests within a set are tau-equivalent or parallel are also considered.
Journal ArticleDOI

A general method for analysis of covariance structures

Karl G. Jöreskog
- 01 Aug 1970 - 
TL;DR: In this article, a general multivariate normal distribution with a general parametric form of the mean vector and the variance-covariance matrix is proposed, where any parameter of the model may be fixed, free or constrained to be equal to other parameters.
Journal ArticleDOI

A generalized multivariate analysis of variance model useful especially for growth curve problems

TL;DR: In this paper, the usual MANOVA (multivariate analysis of variance) model (see equation (1)) may be generalized by allowing for the appending of a post-matrix in the expectation equation.
Journal ArticleDOI

Certain generalizations in the analysis of variance

S. S. Wilks
- 01 Nov 1932 - 
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