Sentences with phrase «regression equation modeling»

Participated in the development of a multiple linear regression equation modeling process that used Geostatistical Analyst and Spatial Analyst extensions of the ArcGIS software

Not exact matches

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Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed models, structural equation modeling, and nonparametric analyses including logistic regression techniques.

Essentially, the equation for the regression is the capital asset pricing model.

This exponential growth equation can be transformed into a linear form so it can be modeled using linear regression.

For a climate model that has some correlation with the past data the model estimates should be converted into a recalibrated estimate using the regression equation.

Topics Include Exploratory Data Analysis, Multiple Regression, Logistic Regression, Correlation, Multivariate Analysis Of Variance (manova), Factorial Analysis Of Variance (anova), Factor Analysis And Principal Components, Discriminant Analysis, Structural Equation Modeling, And Emerging Data Analysis Techniques.

For all models, logistic regression was undertaken within the generalised estimating equations framework to account for the correlations within a family.

Marginal logistic regression models were fitted for repeated - measures data (eg, well - child visits) using generalized estimating equations with working - independence covariance structures.28

Because of substantial missing data on 2 direct parenting measures (29 %), multiple imputation via chained equations was used to handle missing covariate data.30 This approach uses regression models to predict missing data from available variables with 20 imputation iterations selected.

She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear models (including growth curve modeling), latent transition analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).

Regression and structural equation modelling techniques are used to identify practices constituting good and harsh parenting, factors associated with these parenting behaviours and child and adolescent outcomes.

To examine the independent contribution of program participation on program outcomes (parenting stress, parenting behaviors, and mental health), in all analyses separate regression models were constructed in which mothers» age and baseline measures of mental health were introduced into the regression equation first.

The three - way interaction term and its implementation in the random effects logistic regression model is specified in the following equation:

This problem could be addressed through errors - in - variables regression or structural equation modeling.

Moreover, although integrative models were tested by using structural - equation modelling or hierarchical regressions to demonstrate the predictive effect of positive youth development on problem behaviour (Jessor et al. 2003; Lent et al. 2005), these cross-sectional studies did not examine the reverse predictive effect of problem behaviour on positive youth development.

Longitudinal and cross-sectional associations were investigated with regression and structural equation models.

Structural equation models and regression analyses accounting for age and sex contributions revealed that emotion dysregulation mediated associations between sociodemographic risk and internalizing symptoms, externalizing problem behavior, and drug use severity, and moderated links between psychosocial risk and internalizing symptoms and externalizing problem behavior.

Multiple regression and structural equation modelling showed that partners in interethnic relationships defined personal commitment in different ways with men emphasizing love and dyadic adjustment, and women emphasizing love and acculturation to their partner.

Internalising and externalising behaviour was related to father involvement in crude and adjusted logistic regression and generalised estimating equation models.