objective: the main objective of this research was estimation of genetic parameters for five consecutive measurements of egg weights in isfahan fowl using multi trait model and random regression models. methods: the statistical models included generation-hatch as a fixed effect, weeks of age as a covariate and additive genetic and individual permanent environmental effects as random effects. th...

In this article, we demonstrate how Gaussian Markov random field properties give large computational benefits and new opportunities for the Bayesian animal model. We make inference by computing the posteriors for important quantitative genetic variables. For the single-trait animal model, a nonsampling-based approximation is presented. For the multitrait model, we set up a robust and fast Marko...

Discriminant validity is a valuable property of psychological scales that is usually investigated in the framework of the multitrait-multimethod approach. The establishment of discriminant validity demands the demonstration that the scale of interest representing a specific construct is unrelated to scales representing other constructs. The original implementation of the multitrait-multimethod ...

Background and aims The aim for this study was to assess the construct validity and reliability of the Health Dialogue Questionnaire (HDQ©) for eleventh grade in school through comparison of the HDQ© with Paediatric Quality Of Life Inventory (PedsQL™), Local monitoring of youth policy questionnaire (LUPP®), Health behaviour in Swedish school-aged children (HBSC©), Equal health (EH©) and The Swe...

A taxonomy of covariance structure models for representing multitrait-multimethod data is presented. Using this taxonomy, it is possible to formulate alternate series of hierarchically ordered, or nested, models for such data. By specifying hierarchically nested models, significance tests of differences between competing models are available. Within the proposed framework, specific model compar...

This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod study is a two-facet design. We extend models that w...

In a stochastic simulation study the effect of simultaneously changing the model for prediction of breeding values and changing the breeding goal was studied. A population of 100 000 cows with registrations on seven traits was simulated in two steps. In the first step of 15 years the population was selected for production and mastitis occurrence using a univariate model for prediction of breedi...

A major consideration in multitrait analysis is which traits should be jointly analyzed. As a common strategy, multitrait analysis is performed either on pairs of traits or on all of traits. To fully exploit the power of multitrait analysis, we propose variable selection to choose a subset of informative traits for multitrait quantitative trait locus (QTL) mapping. The proposed method is very u...