Results 191 to 200 of about 50,878 (229)
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Use of Lisrel in Scale Validation
Psychological Reports, 1990A confirmatory factor analysis of items representing two dimensions of the locus of control construct was conducted with LISREL. In general, the analysis substantiated the hypothesized model by providing statistical tests of the loadings and the fit of the model to the data.
Cathy Kassab, Sandra S. Houts
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Review of Multivariate Analysis with LISREL [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2019 Multivariate Analysis with Lisrel by Joreskog, Olsson, and Wallentin (2016) contains 10 chapters and 7 appendices.
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LISREL-Beispiel I: Regressionsanalyse mit Interactive LISREL [PDF]
, 2004 Eines der prominentesten Verfahren zur Analyse von Beziehungen zwischen einer abhangigen Variablen und einer oder mehreren unabhangigen Variablen ist die Regressionsanalyse. Sie wird eingesetzt um1: Zusammenhange zu erkennen und zu erklaren Werte von abhangigen Variablen zu schatzen bzw. zu prognostizieren.
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Indeterminacy Problems in the Lisrel Model
Multivariate Behavioral Research, 1989The latent variables and errors of the Lisrel model are indeterminate even when the parameters of the model are perfectly identified. The reason for the indeterminacy is that the Lisrel model gives a solution in terms of estimation of latent variables by means of observed variables.
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1992
In this Chapter we develop the LISREL model formally, and assume some knowledge of elementary statistics. While understanding the model will prove useful in the long run, it is not strictly prerequisite for the LISREL applications in this book. It provides a valuable reference section and guide to the statistical theory behind applied model-fitting ...
Lon R. Cardon, Michael C. Neale
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In this Chapter we develop the LISREL model formally, and assume some knowledge of elementary statistics. While understanding the model will prove useful in the long run, it is not strictly prerequisite for the LISREL applications in this book. It provides a valuable reference section and guide to the statistical theory behind applied model-fitting ...
Lon R. Cardon, Michael C. Neale
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Using LISREL Analysis for Drug Research
Journal of School Health, 1983ABSTRACTLISREL Analysis is suggested as a method of modeling relationships among variables to determine causality. LISREL is a computer program that uses a maximum‐likelihood procedure to analyze structural equations. The variables in the tested hypotheses can be both directly observed variables and latent variables.
Patricia H. Kennedy +2 more
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Learning art with computers - a LISREL model
Journal of Computer Assisted Learning, 2001Abstract This paper surveys the attitudes on the use of computers for aesthetic communication. In spite of the proliferation of computer art software and the popularity of art galleries on the world‐wide web, many artists still find it difficult to accept computer art as a form of art. Many of them find only commercial values in computer art.
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The use of lisrel in validating marketing constructs
International Journal of Research in Marketing, 1991Abstract An expository overview of the use of Lisrel in validating marketing constructs is presented and its advantages over the “traditional approaches” are demonstrated. Lisrel's contribution in all phases of construct validation is discussed. It is shown that lisrel has much to offer in purifying the measure by testing the unidimensionality of
Steenkamp, J.E.B.M., van Trijp, J.C.M.
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1984
The model to be described in this chapter involves a combination of the concept of latent variables, with the techniques of path analysis and simultaneous equation models, and represents the convergence of relatively independent research traditions in psychometrics, econometrics and biometrics.
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The model to be described in this chapter involves a combination of the concept of latent variables, with the techniques of path analysis and simultaneous equation models, and represents the convergence of relatively independent research traditions in psychometrics, econometrics and biometrics.
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Modelling with LISREL: A guide for the uninitiated
Journal of Marketing Management, 1994During the last decade, structural equation models with unobservable variables and measurement error have been increasingly applied in the marketing discipline. By far, the most widely used approach has been the covariance structure modelling framework implemented through the LISREL computer programme.
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