1 edition of **Nonrecursive models** found in the catalog.

Nonrecursive models

Pamela Marie Paxton

- 284 Want to read
- 6 Currently reading

Published
**2011**
by SAGE in Thousand Oaks, Calif
.

Written in English

- Mathematical models,
- Social sciences

**Edition Notes**

Includes bibliographical references (p. 117-122) and index.

Statement | Pamela M. Paxton, John R. Hipp, Sandra Marquart-Pyatt |

Series | Quantitative applications in the social sciences -- 168 |

Contributions | Hipp, John R., Marquart-Pyatt, Sandra T. |

Classifications | |
---|---|

LC Classifications | H61.25 .P398 2011 |

The Physical Object | |

Pagination | xi, 128 p. : |

Number of Pages | 128 |

ID Numbers | |

Open Library | OL24914814M |

ISBN 10 | 9781412974448 |

LC Control Number | 2010048517 |

Read this book on Questia. The revised guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) features new sections on statistical concepts, nonrecursive models of multiple-sample SEM, and extensive explanations of latent growth models. Book Description. Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In addition to describing how the functional relation concept may be generalized to.

priori) causal model. Elazar J. Pedhazur (Multiple Regression in Behavioral Research, 2nd edition, Holt, Rinehard and Winston, ) has a nice introductory chapter on path analysis which is recommended reading for anyone who intends to use path analysis. This lecture draws heavily upon the material in Pedhazur's Size: KB. About this Item: SAGE Publications Inc, United States, Paperback. Condition: New. Language: English. Brand new Book. Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a .

The book examines image processing software and analysis and synthesis of image patterns by spatial interaction models. Topics include synopsis of discrete spatial interaction models, nonrecursive models over infinite lattices, finite lattice models, and the MSFC image processing package. A comprehensive introduction to the general structure equation systems--commonly known as the LISREL model--used for quantitative research in the social sciences. Unified approach presents path analysis, recursive and nonrecursive models, classical econometrics, and confirmatory factor analysis as special cases of a general model/5.

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She is also an author of Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops (). John R. Hipp is Assistant Professor in the departments of Criminology, Law and Society, and Sociology, at the University of California Irvine.5/5(1).

Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret by: Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models.

This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

Unfortunately, many nonrecursive models (unlike recursive models) are ′unidentified′, which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of by: Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models.

This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the Price: $ The current monograph on nonrecursive simultaneous equation models serves to refocus attention on fundamental issues in structural equation modeling, including the specification, identification, estimation, assessment, and interpretation of the models.

Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret : SAGE Publications.

Unfortunately, many nonrecursive models (unlike recursive models) are 'unidentified', which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of estimation.

A clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of.

A clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice. Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models.

--This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results. --Book. Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form.

It guides readers through the specification and identification of simultaneous equation models 4/5(1). Model Interpretation In this chapter, we discuss how to interpret model results. Understanding the effect of one variable on another is more complicated in simultaneous equations models than in linear regression models.

Publisher Summary. This chapter discusses the concept of nonrecursive model. In contrast to the case of a fully recursive model, in the nonrecursive model, the specification of zero covariances between disturbances and exogenous variables does not lead to either zero covariance between the two disturbances or zero covariance between the disturbance and each explanatory variable in an equation.

Synopsis Where an assumption of unidirectionality in causal effects is unrealistic, 'recursive' models cannot be used, and more complex 'nonrecursive' models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are 'unidentified', which makes meaningful parameter estimation impossible.

Estimation Techniques In this chapter, we will examine procedures through which parameters for the equations of nonrecursive models can be appropriately estimated.

We will, of course, assume throughout this chapter that we are working with an identified model, as nonidentification makes it so that reasonable parameter estimates. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross /5(17).

Nonrecursive Models. por Pamela M. Paxton,Sandra Marquart-Pyatt,John R. Hipp. Quantitative Applications in the Social Sciences (Book ) ¡Gracias por compartir. Has enviado la siguiente calificación y reseña. Lo publicaremos en nuestro sitio después de haberla : SAGE Publications.

Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

Request PDF | On Jan 1,Pamela Paxton and others published Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops |.

Summary: The author defines the concept of identification and explains what 'goes wrong' with some nonrecursive models to make them nonidentified. He provides various tests which can be used to determine whether a nonrecursive model is identified, and reviews common techniques for estimating the parameters of an identified model.Discovering Structural Equation Modeling Using Stata, Revised Edition, by Alan Acock, successfully introduces both the statistical principles involved in structural equation modeling (SEM) and the use of Stata to fit these models.

The book uses an application-based approach to teaching SEM.Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret published: 24 Apr,