Latent-variable models in criminological research: Applications and a generalization of Joreskog's LISREL model

@article{Smith1985LatentvariableMI,
  title={Latent-variable models in criminological research: Applications and a generalization of Joreskog's LISREL model},
  author={Douglas A. Smith and E. Britt Patterson},
  journal={Journal of Quantitative Criminology},
  year={1985},
  volume={1},
  pages={127-158}
}
This paper examines issues in LISREL models involving latent, or unobserved, variables. We discuss estimating parameters in multiple-indicator models, various approaches to assessing goodness of fit, different types of linear measurement models, using LISREL to correct for attenuation in models involving single indicators with known reliabilities, and estimating parameters in structural equation models involving latent exogenous and endogenous variables. Finally, we present a generalization of… 
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References

SHOWING 1-10 OF 44 REFERENCES
Estimation and Hypothesis Testing in Linear Models Containing Measurement Error
This paper reviews Joreskog's model for the analysis of covariance structures by first introducing the simpler case of confirmatory factor analysis. The mathematical results necessary for estimation
Analyzing Political Participation Data with a Mimic Model
This chapter illustrates the use of multiple-indicator multiple-cause (MIMIC) models by an application to political participation. In such models, observed indicators (that is, imperfect measures) of
Significance Tests and Goodness of Fit in the Analysis of Covariance Structures
Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimation developed for
Identification and Estimation in Path Analysis with Unmeasured Variables
The application of Joreskog's (1970a) general model for the analysis of covariance structures to several path models involving unmeasured variables is discussed. When these path models have a
Structural analysis of covariance and correlation matrices
A general approach to the analysis of covariance structures is considered, in which the variances and covariances or correlations of the observed variables are directly expressed in terms of the
The Analysis of Covariance Structures
A major problem encountered in covariance structure analyses involves decisions concerning whether or not a given theoretical model adequately represents the data used for its assessment. Given that
A general method for analysis of covariance structures
SUMMARY It is assumed that observations on a set of variables have a multivariate normal distribution with a general parametric form of the mean vector and the variance-covariance matrix. Any
Theory, Deduction, and Rules of Correspondence
  • H. Costner
  • Economics
    American Journal of Sociology
  • 1969
Causal models are strictly untestable with a single indicator for each variable, unless one assumes very slight measurement error. With multiple indicators for each variable, incorporated as an
Multiple Indicators and the Causal Approach to Measurement Error
Since the practical utility of the kind of multiple indicators approach discussed in Costner's paper depends on the ways it can be broadened to include a diversity of causal situations, the purpose
Forming Composite Scales and Estimating Their Validity Through Factor Analysis
For forming a scale through factor analysis and evaluating it with Heise and Bohrnstedt's validity index rho, the factor analysis should include the indicators of only one construct. If these
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