Reporting structural equation modeling and confirmatory factor analysis...

The Journal of Educational Research;  July 1, 2006 ;   Schreiber, James B. Nora, Amaury Stage, Frances K. Barlow, Elizabeth A. King, Jamie;   787 words ......number of observed variables into a smaller number of latent variables by examining...among the observed variables. In this article...one or more observed variables. In Figure...unobserved or latent variables; the circles...variable on the observed ...

latent class model

A Dictionary of Statistics;    GRAHAM UPTON and IAN COOK;   39 words ...latent class model A model for cross-tabulated data . The idea is that the apparently complex relationship between the observed variables can be explained by a simple relationship that holds for unobserved latent variables . See also contingency table.

(book reviews)

Journal of the American Statistical Association;  September 1, 1994 ;   Clogg, Clifford C.;   787 words ......by their dependence on latent variables such as ability or attitude. In these models, the latent variable is defined in...independence, the assumption that observed variables are conditionally independent given the level of the latent variable that the items...form of the dependence ...

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and...

Technometrics;  May 1, 2005 ;   Lipovetsky, Stan;   771 words ......are not observed or measured, or the latent variables. Elaborated in various fields for...multivariate statistical analysis with latent variables. Written by well-known experts in...enriching both theoretical and applied latent variables modeling that also can be used in...

Dynamic latent trait models for multidimensional longitudinal data.

Journal of the American Statistical Association;  September 1, 2003 ;   Dunson, David B.;   787 words ......the presence of one or more latent variables. Such latent variable models...time-specific covariates, latent variables, and measurement errors through...generalized linear models. The latent variables are in turn related to covariates...

latent variable

A Dictionary of Statistics;    GRAHAM UPTON and IAN COOK;   21 words ...latent variable An unobserved variable that may account for variation in the data and/or for apparent relations between observed variables.

THE ROLE OF FARMERS' BEHAVIORAL ATTITUDES AND HETEROGENEITY IN FUTURES...

American Journal of Agricultural Economics;  November 1, 2000 ;   PENNINGS, JOOST M.E. LEUTHOLD, RAYMOND M.;   787 words ......always directly observable (so-called latent variables). [4] We show that farmers make decisions...use of futures based on, among others, latent variables. We refer to these latent variables as attributes as well to indicate that...

Editors' introduction to twentieth anniversary commemorative issue of the...

Journal of Business & Economic Statistics;  January 1, 2002 ;   Ghysels, Eric Hall, Alastair;   787 words ......modeling volatility, issues related to latent variables, and last but not least, forecasting...example of latent variable models. Latent variables are pervasive in econometrics and...valid inferences in the presence of latent variables. We have chosen to reprint two papers...

Patterns of psychological problems in university undergraduates: Factor...

Social Behavior and Personality;  January 1, 1998 ;   Oliver, J M; Reed, Cynthia K S; Smith, Bruce W;   787 words ......construed as "general maladjustment"; two latent variables, which could be characterized as...externalizing" problems; and four different latent variables, corresponding roughly to the grouping...and his colleagues found that two latent variables comprising internalizing and ...

A Strategic Analysis of Korean Engineering Education Based on Two...

Journal of Engineering Education;  April 1, 2007 ;   Lee, Seung Yong; Yoon, Jae Yong; Kim, Tae Hyun; Sohn, So Young;   787 words ......developing measurements to define latent variables and then establishing relationships...structural equations, among the latent variables. Such models have been used...first specified the various latent variables related to the two satisfaction...

Building a Better Model: An Introduction to Structural Equation Modelling

Canadian Journal of Psychiatry;  April 1, 2006 ;   Streiner, David L;   787 words ......allowing paths to be drawn between latent variables (which, in other techniques, are called...path analysis in that relations among latent variables can be examined. Key Words: structural...considering here, they are known as latent variables. So much for the use of consistent...

A latent variable model of segregation analysis for ordinal traits.

Journal of the American Statistical Association;  December 1, 2003 ;   Zhang, Heping Feng, Rui Zhu, Hongtu;   787 words ......j. [FIGURE 1 OMITTED] * The latent variables are independent random variables. Conditional on all of the latent variables, denoted by [U.sup.i], within...sup.i])[.sup.T] harbors the latent variables and [beta] and [gamma] are...

(book review)

Technometrics;  February 1, 2001 ;   LIPOVETSKY, STAN;   649 words ......of multivariate statistical analysis with latent variables. Written by the recognized specialists in...metrical or categorical nature of manifest and latent variables, the authors classify methods of factor...and forties, and works by Lazarsfeld on latent-structure analysis for categorical ...

Estimation for Polynomial Structural Equation Models.

Journal of the American Statistical Association;  September 1, 2000 ;   WALL, Melanie M. AMEMIYA, Yasuo;   787 words ......of the unobservable or latent variables of interest. Thus the overall model for the observed variables consists of two parts...observed indicators to the latent variables or factors, and the underlying...relationships among the latent variables (see, e.g., ...

Selection of related multivariate means: monitoring psychiatric care in...

Journal of the American Statistical Association;  March 1, 2003 ;   Landrum, Mary Beth Normand, Sharon-Lise T. Rosenheck, Robert A.;   787 words ......performance of the networks. A set of latent variables, assumed to be representing underlying...to be linearly related to a set of latent variables assumed to arise from a multivariate...both multilevel data and nonnormal latent variables, by proposing a mixture of generalized...